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The Peer Review Process for Scientific Journals (Simply Explained)

peer review process

Would you like to peek behind the curtain and better understand the peer review process for scientific journals?

In this article, I’ll explain to you…

  • The concept behind the peer review process for scientific journals
  • The various types of peer review processes for scientific journals
  • How to determine if an article has been peer-reviewed
  • Which types of articles you should avoid referencing in your own academic writing.

What is a Peer Review Process for scientific journals?

To ensure quality control in science, it has become standard practice for a submitted article to be anonymously reviewed by two or more experts in the same field of research.

An article is only published if the authors can satisfactorily address the criticism raised by these “reviewers”.

The history of the peer review process as we know it dates back to 1731. The Royal Society of Edinburgh then inspired several editors of philosophical journals to have their contributions reviewed by a committee of experts (Spier, 2002).

It is also recorded that Albert Einstein had his issues with the peer review process.

In the early 20th century, Einstein primarily published in German-language journals, which at the time did not have a peer review process. When he sent an article (by mail, of course) to the prestigious Physical Review in America, he was surprised by their practice of presenting his paper to an independent expert.

In a letter, he fumed over this, withdrew his work, and published it elsewhere. He believed the comments to be nonsensical and saw no reason to address them.

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Types of Peer Review Processes

The three most common types of peer review processes are single-blind, double-blind, and open peer review.

The Single-Blind Peer Review Process Here, the reviewers know the authors’ names, but the authors do not know the reviewers’ names.

The Double-Blind Peer Review Process In this process, both the authors and the reviewers remain anonymous. This requires an editor who knows everyone’s identity.

The Open Peer Review Process Here, everyone knows each other at all times. When an article is published, the reviewer reports are also published.

The last one is particularly progressive because it creates a lot of transparency and allows the iterations of an article to be tracked. But it creates other problems and biases if the anonymity is taken away.

What Happens During the Peer Review Process?

The process begins with the authors submitting their work.

The Desk Reject

The manuscript then lands “on the desk” of an editor, who has two options. Should the article be sent for peer review, or not?

If not, the authors receive a “desk reject,” meaning the article is not even sent to reviewers but is directly and irrevocably rejected by the editor.

Reasons for a desk reject vary. For example, an article might be linguistically or stylistically so far from a publishable standard that it doesn’t make sense to occupy the time of several reviewers. However, the most common reason for a desk reject is actually the fit with the journal.

Journals have specific thematic focuses, and if an article deviates from these, even if it is of high quality, it is immediately rejected.

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Major and Minor Revisions

In a few cases, an article may be so good and important that it is accepted immediately after a round of brief feedback.

For instance, many journals accelerated their peer review processes temporarily during the COVID-19 pandemic. It would have made no sense to drag urgently needed research through a process that takes years.

Normally, if a manuscript passes the desk stage, it moves to an editor who will oversee the article until publication.

There are different types of editors, such as an Editor-in-Chief, Senior Editors, or Associate Editors. The “lowest” category of editors is responsible for recruiting reviewers. Sometimes this editor remains anonymous, and sometimes not.

This editor sends the article to 2-3 reviewers, sets a deadline, and then it’s a waiting game.

Once the reports come back, the editor reviews the reports and, of course, the article, and writes their own report. This usually summarizes the key points of the reviewer reports and may also include additional points noticed by the editor.

The editor also decides on the next steps for the article. They can follow the reviewers’ recommendations or override them. In either case, all reports are sent to the authors. If the editor unjustifiably overrides all reviewers, they risk trouble from above, such as from the Editor-in-Chief.

If the article is voted for, the authors receive a deadline by which they may revise their manuscript, and then the process starts over.

Ideally, the same reviewers are invited to check the revision. A “Major Revision” involves substantial changes to the manuscript, while “Minor Revisions” or a “Conditionally Accept” only require minor adjustments.

The number of rounds an article must go through depends on the journal. The most prestigious journals often have the most difficult and longest processes or the toughest “desk”.

What Happens After a Peer Review Process?

In single- and double-blind processes, reviewer reports are generally not published, even if they are anonymous. This has its advantages, such as not having to worry about offending someone when criticizing their work or even rejecting it from publication.

Editors often face the unenviable task of having to reject works from renowned author teams, subsequently facing their anger and disappointment.

The reason the peer review process works is solely due to the reputation people gain from being a reviewer or editor of a particular journal. Moreover, everyone wants their own articles to be reviewed, so you might think twice before declining such a request, especially at the start of your scientific career.

How Can You Identify Peer-Reviewed Articles?

There are essentially two ways to do this.

Option 1: Research the Outlet

You’re not sure how, but somehow you stumbled upon an article through Google Scholar or Google. Research the name of the journal or conference and visit its website. There, you will usually find information on whether it employs a peer review process or not.

But that’s not the end of the story. There are thousands of questionable journals, such as the Open Access journals published by MDPI.

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Although they officially have a peer review process, it’s a joke. Their business model is that authors pay a fee, and then their article gets published. If you’re interested in a video about questionable practices in science, just leave me a comment under this article!

With established publishers, authors or universities must also pay a fee, but you can assume that the peer review process is conducted properly.

Over time, try to identify the established publishers and journals or conferences of your discipline. Citing articles of dubious origin can negatively impact your own academic work. So, even if the article fits perfectly, it might be best to steer clear.

Option 2: Filter During Your Search

If you only search databases that index peer-reviewed articles, you won’t even have to ask this question.

Find out which databases list the most important publication outlets of your discipline and limit your search to these databases.

Further Reading Spier, R. (2002). The history of the peer-review process. TRENDS in Biotechnology, 20(8), 357-358.

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Prompt Engineering for Students (Master ChatGPT & Co.)

what is prompt engineering

Prompt engineering for students might be the most important skill in 2024 and beyond – if you want to succeed in academia.

Have you ever asked ChatGPT or another AI model for advice and felt underwhelmed by the response? You might start to question all the hype—if AI can’t nail the basics, what good is it?

Hold that thought—before you pin the blame on AI, consider this: maybe the way you’re asking is part of the problem.

Yes, you heard that right! The issue might not be the AI itself but how you’re communicating with it.

In the next decade, mastering the art of crafting the right prompts—known as Prompt Engineering—will be crucial to unlocking the full potential of AI.

In this article, I’ll dive into what Prompt Engineering for students really entails and how you can start improving your interactions with ChatGPT and similar technologies immediately. Mastering this skill can not only impress your peers but also dramatically boost your productivity as a student.

Understanding Prompt Engineering for students

In today’s world, AI isn’t just a futuristic idea—it’s a part of our daily lives.

AI appears everywhere: powering search engines, guiding us through apps, and facilitating customer support through chatbots and virtual assistants.

Being able to communicate effectively with AI simplifies life and amplifies your efficiency at work, making Prompt Engineering a critical skill in the modern job market.

Good Prompt Engineering for students hinges on your ability to give precise, clear instructions. Think about it—how much time do you actually spend crafting a prompt for ChatGPT?

If it’s merely 5 seconds, that’s likely not enough. Taking a bit more time to consider your prompt can make a world of difference. A hastily typed sentence can lead to misinterpretations, whereas a thoughtfully crafted prompt, though taking a few minutes longer, can yield results that are ten times better.

How to Formulate Prompts that AI Understands

By learning how to make your requests more precise, you unleash the AI’s potential to deliver exactly the answers you’re looking for.

There are 5 basic principles that can help you successfully communicate with AI models like ChatGPT or DALL-E. These principles are Clarity, Context, Conciseness, Explicitness, and Iteration.

  1. Clarity is crucial for the AI to understand exactly what is expected of it. A clearly formulated prompt reduces misunderstandings and leads to more accurate responses. It’s about being unambiguous without leaving room for interpretation.
  2. Context provides the AI with background information relevant to answering the query. It helps the AI understand the request in the correct frame and respond appropriately. For example, adding that a text is intended for a specialist audience can influence the type of response.
  3. Conciseness aims to keep the query as compact as possible. A long, rambling prompt can confuse the AI. Instead, the prompt should be to the point, without unnecessary details.
  4. Explicitness means that specific instructions or expectations are clearly communicated. The more precisely the request is formulated, the better the AI can deliver the desired results.
  5. Iteration and Experimentation acknowledge that not every prompt is perfect right away. Prompt Engineering for students is a process of trial and adjustment. You ask a question, analyze the AI’s response, and refine your next inquiry based on the feedback. This cyclical process helps you perfect your prompts, so you receive more accurate and relevant answers.

The quality of your prompts also directly influences how developers train and improve their AI systems. Understanding which types of prompts lead to the desired responses allows developers to more specifically tailor their models to better respond to human queries.

To professionalize your prompts and systematize your Prompt Engineering, consider creating a Prompt Library today.

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What is a Prompt Library?

A Prompt Library is essentially a database full of prepared questions or instructions designed to elicit specific and high-quality responses from AI language models.

These collections can range from simple request examples to complex prompt sets developed for advanced applications.

3 Benefits of a Prompt Library

  1. Time-saving and Efficiency: Having access to a collection of tested prompts allows you to interact with AI systems more quickly and effectively. It saves you the effort of constantly formulating new prompts by providing proven options right at your disposal.
  2. Quality Improvement: The prompts in a library are usually optimized and tested by you or someone else to ensure they deliver reliable results. This ensures greater consistency and quality of responses from language models.
  3. Source of Inspiration: A Prompt Library serves not only as a practical tool but also as a source of inspiration. As you browse the library, you might come across new ideas for formulating your AI queries, leading to more creative and effective prompts.

For knowledge workers and students who regularly work with AI, integrating a Prompt Library into their daily workflow can be a real game-changer. Many tools and platforms now allow for the direct integration of Prompt Libraries, simplifying access and use.

Platforms

Some platforms, like PromptHero or PromptBase, offer a wide range of prompts specifically for image generators. Here, users not only share the prompts themselves but also useful information about the creative process and the results achieved. FlowGPT, on the other hand, focuses on prompts for ChatGPT and allows users to try them out directly on the platform.

In addition to using these existing libraries, you can, of course, create your own collection. Simply use an Excel spreadsheet or a Notion page and sort your prompts by category or frequency of use.

If you’ve used individual prompts and maybe made slight adjustments, save the improved prompt each time. This keeps your Prompt Library up to date, and you save valuable time the next time you need the prompt.

Prompt Engineering for students isn’t just helpful in the short term. If you’ve been following my channel for a while, you know that lifelong learning is one of my core values.

Starting to think and act like a Prompt Engineer will not only help you with your next term paper but also in applying for a job next year, your probationary work in 2 years, your important client project in 4 years, and your big career leap in 10 years.

AI is here to stay. Whether you like it or not doesn’t matter. Acting pragmatically means making friends with AI. The sooner, the better.

Why Should You Use Prompt Engineering as a student?

Why should you dive into Prompt Engineering starting TODAY? Here are the reasons why it can be of great benefit to you – whether you’re a student, a creative, or a knowledge worker:

Sharper Research

Students and knowledge workers often rely on search engines and specialized AI-powered tools to gather information. A well-formulated prompt can help filter out more precise and relevant information from a flood of data. This is crucial for academic work, literature reviews, or gathering data for projects.

Soon, companies will use their own specialized language models. These will be integrated into products from companies like Microsoft or SAP and will have access to the databases and systems within the company.

The better you become at Prompt Engineering NOW, the more valuable your skills will be for any company or for yourself.

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Save Time and Increase Your Efficiency

Effective Prompt Engineering enables you to save time by generating quicker and more targeted responses from language models and other AI systems.

And time is the most important resource you have.

With good Prompt Engineering for students, you can not only gain a productivity edge but also more time for the essentials. If you work more efficiently, there’s more time for travel, your family, or your hobbies.

Who says you still have to work 40 or 50 hours a week in the future? It’s up to you to define what the future of your work looks like.

Become More Creative

Whether you want to write an original text or design a unique graphic, AI needs specific prompts to generate useful suggestions. Learning how to formulate creative and inspiring prompts can support your creative process and lead to more innovative ideas.

A fairly well-known study by Professor Andreas Fügener and colleagues concluded that humans, in collaboration with AI, make both the AI and the human look old.

Relying solely on AI or ignoring it will cause you to fall behind. The key is to combine your skills with those of AI.

Understand the Mechanisms Behind AI

Learning Prompt Engineering gives you better insights into how AI models work.

This knowledge enables you to use the technology responsibly and understand its limitations.

This knowledge is valuable in an increasingly AI-driven world and can help you better understand and critically examine the ethical, technical, and social implications of using AI. This can help you position yourself as an expert and always be one step ahead of others.

Stay Flexible and Future-Proof

The ability to create effective prompts is a transferable skill that can be adapted to new AI systems and technologies.

As AI development progresses rapidly, it’s important to remain flexible and quickly adapt to new tools.

Maybe ChatGPT will no longer be relevant in a few years. But communication via natural language will remain, regardless of which tools come next.

Here, Prompt Engineering for students offers you a long-term competitive advantage. It’s not just about keeping up with current technology, but also about preparing yourself for what’s to come in the next few decades.

Applications of Prompt Engineering

Generating images and writing texts isn’t part of your job?

No matter.

Prompt Engineering is already making big waves in many areas, not only in creative fields but also in technical professions or the education sector.

In the world of technology, Prompt Engineering enables developers to work more efficiently, whether it’s creating code with tools like GitHub Copilot or automatically troubleshooting software. Researchers use AI to analyze data and make scientific discoveries by using specific prompts that direct the AI in the right direction.

Prompt Engineering is also finding applications in the education sector. It enables the creation of customized learning materials and supports interactive learning experiences that are precisely tailored to the needs of learners. Through targeted prompts, the teaching material can be dynamically adjusted, making learning more effective and interesting.

These examples are just a snippet of the many possibilities that Prompt Engineering offers. It combines creativity with technical solutions in a way that was unthinkable a few years ago.

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Act Now! Your Prompt Engineering Challenge

Now it’s your turn!

Use Prompt Engineering to take your next study project, a report for your supervisor, or your side hustle to the next level.

Here’s a small challenge for you: Choose a topic you’re currently working on or a project that’s coming up. Maybe you want to conduct comprehensive research on a specific subject or analyze complex data.

Apply the principles of Prompt Engineering to make more effective use of AI tools.

Start with a clear, context-related request. For example, formulate a prompt asking ChatGPT to give you a summary of the latest research findings on a specific topic, or use an AI tool for data analysis to identify patterns in your research data.

Document your steps, the various prompts you try, and the results you obtain in your own Prompt Library. Reflect on how adjusting your prompts has influenced the AI’s responses and which techniques were most effective.

Share your discoveries and insights with your classmates, in a study group, with your colleagues, or in the comment section under this video.

Let’s discuss together how we can use Prompt Engineering to inspire others with our work.

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Hermeneutics Simply Explained (Hermeneutic Circle & Gadamer)

Are you looking for someone to explain the concept of hermeneutics in simple terms? Then buckle up, because things are about to get philosophical.

In this article, in less than 10 minutes, you’ll get an overview of the following 3 things:

  1. What is the theory or philosophy behind the term hermeneutics?
  2. What is the hermeneutic circle and what is it used for?
  3. And who are the key thinkers in hermeneutics that you definitely should have heard of?

So, if you’re looking for a quick and painless overview of the topic, keep reading. By the end of this article, you’ll be at least a bit wiser than before.

Hermeneutics Explained

What is Hermeneutics?

Hermeneutics is “the art of methodically guided understanding” (Kaus, 2022, p.1), which means that it helps us as a researcher in understanding the overarching structures of meaning in human life and action.

Primarily dealing with written texts, as they offer potential access to these structures of meaning, hermeneutics is particularly relevant in the humanities. However, the significance of hermeneutics extends far beyond the boundaries of individual disciplines.

It involves interpreting texts or other symbols, as well as interpreting the act of interpreting itself. It’s about how we, as researchers, can better understand the social life around us.

Hermeneutics can thus serve as an auxiliary science for various disciplines. Whether a theologian aiming to understand the Bible, a lawyer interpreting legislation, or an educator decoding youth slang – all these scenarios require guidance on interpretation.

Are you still with me? I hope so. We’re about to get to the more tangible part. Hang in there.

Philosophical Hermeneutics (Gadamer)

Philosopher Hans-Georg Gadamer takes a step further, conceiving hermeneutics not just as a tool for interpretation but as a process that touches on something much more fundamental.

In a philosophical sense, hermeneutics can also deal with how people or even entire nations understand each other.

For Gadamer’s teacher Martin Heidegger, it was already clear that hermeneutics represents a fundamental principle of human existence. That is, we humans are constantly engaged in understanding, and existence itself means to understand.

Gadamer particularly emphasized the role of language in hermeneutics. For him, understanding is always connected with language.

He also coined what I consider the most beautiful metaphor for understanding hermeneutics better. He describes hermeneutics as a never-ending conversation (“The Infinite Conversation”).

Imagine you’re a researcher looking for structures of meaning, and your data material is a text. Imagine you are you, and the text is your counterpart.

The metaphor of the infinite conversation suggests that you approach your counterpart (the text) with an open attitude.

You have certain preconceptions, which you “put at risk”. You’re open to the idea that the assumptions you entered the conversation with might be replaced by others, depending on what you learn from the conversation (with the text).

The conversation is infinite because hermeneutics repeats this adjustment of pre-knowledge and new knowledge over and over again. We’ll take a closer look at this important principle in a moment.

Another famous image used by Gadamer is the horizon. It represents the structure of meaning and the knowledge we are exposed to. The horizon affects us when we want to understand something new and provides us with orientation.

The Hermeneutic Circle

Having introduced Gadamer’s ontological considerations on hermeneutics, let’s see how this principle can be applied to concrete scientific methods.

If you’re familiar with my tutorials on qualitative content analysis or thematic analysis, this will seem familiar. These approaches can be seen as a hermeneutic process:

The analysis of qualitative data often does not proceed sequentially from start to finish. Instead, the process is dynamic. You can always return from the analysis to the research question, or from the presentation of results back to the development of categories.

This approach is fundamentally based on the hermeneutic circle. It envisages moving back and forth in spiral movements between pre-understanding and text understanding, similar to Gadamer’s infinite conversation. This principle is particularly evident in a quote from Jürgen Bolten (1985):

“Understanding a text means, therefore, to comprehend features of the text’s structure or content and its production, incorporating the text and reception history as well as reflecting on one’s own interpretation stance within a reciprocal justification relationship. The fact that there can be no false or correct interpretations, but at best more or less appropriate ones, follows from the […] historicity of the constituents of understanding and the related unfinishability of the hermeneutic spiral. […] According to the spiral movement, the interpretation regarding its hypothesis formation is subject to a mechanism of self-correction.” (pp. 362-363)

It’s also important to mention the relationship between the whole and the parts in the hermeneutic circle. Understanding a text means understanding its parts in relation to the whole and vice versa. This is why it’s called a circle or a spiral.

This principle also applies to the relationship between the text and its context, or between different texts. The interpretation always moves in a circle between understanding the individual parts and the whole.

Who Should You Know?

  1. Hans-Georg Gadamer: As mentioned, Gadamer is a key figure in hermeneutics. His work “Truth and Method” is a foundational text in the field.
  2. Martin Heidegger: Before Gadamer, Heidegger laid the groundwork for existential hermeneutics. His main work, “Being and Time,” is crucial for understanding the philosophical underpinnings of hermeneutics.
  3. Friedrich Schleiermacher: Often considered the father of modern hermeneutics, Schleiermacher emphasized the importance of understanding the author’s intention and the historical context.
  4. Wilhelm Dilthey: Dilthey developed the concept of the hermeneutic circle and stressed the difference between explaining natural phenomena and understanding human expressions.
hermeneutics

Challenges of Hermeneutics

The inductive reasoning and the “infinity” of the hermeneutic approach can lead to challenges.

One of the most well-known issues in the history of hermeneutics revolves around the interpretation of the Bible. Here, a particular case arises due to the Bible being written by various authors, at different times, and within different cultural epochs.

If one understands the Bible as a cohesive work and deduces the whole from its parts, things become tricky.

The second challenge of hermeneutics and the hermeneutic circle is their infinity. If knowledge can never truly be considered complete, then there’s always a certain provisional nature to it.

We can never arrive at definitive statements, but must consider everything with reservations. This can be unsatisfying in some cases.

Conclusion

Hermeneutics, then, is not just a fancy term for interpreting texts. It’s a fundamental approach to understanding the world around us, grounded in the principle that our preconceptions and the context of our understanding are always in dialogue with what we seek to understand.

Whether you’re a student, a researcher, or simply someone interested in the philosophy of understanding, grappling with hermeneutics can deepen your appreciation for the complexities of interpretation.

So, the next time you sit down to interpret a text, remember: you’re engaging in a process that philosophers have pondered for centuries, and you’re part of the infinite conversation that is understanding itself.


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How to Get over Fear of Presenting in Class (7 Quick Remedies)

The announcement “In this subject, the assessement is a 45-minute presentation,” immediately triggers your fear of presenting in class?

Oh no! Where’s the exit?

The mere thought of your next presentation sends your pulse racing, induces sweat, and triggers an urge to flee? Then, it’s time to conquer your fear of presentations.

Don’t worry, from personal experience, I know exactly how daunting it can be to stand in front of the entire class and have to deliver a speech.

To help you feel more confident in your next presentation, I’ll share 7 tips in this video on how to manage your stage fright and perform with confidence.

#1 Practice Makes Perfect

Practice? Well, that’s nothing new. True, but this tip is indispensable for overcoming your fear of presentating in class.

The better prepared you are for your presentation, the greater your confidence will be, and simultaneously, your fear and nervousness will decrease.

Once you’ve developed your presentation, practice delivering it. Start by presenting to yourself.

It’s often recommended to practice in front of a mirror. This is a great way to see and improve your body language.

However, it can sometimes feel odd to watch yourself in the mirror, especially if you’re just starting out and feeling uncertain.

Initially, you can practice without a mirror and go through the presentation out loud at your desk.

Or simply walk around the room while going through your speech (this is my favorite method).

Speak loudly and clearly. The greatest learning effect comes from having to actually articulate the sentences you’ve planned.

Just by presenting out loud, you’ll save yourself from long pauses for thought when it really counts, and you’ll automatically gain more confidence.

Next, you can practice your speech in front of a mirror or even record yourself on video. Even if it still feels a bit uncomfortable, give it a try!

No one but you will ever see it, and you can observe your own body language and identify weaknesses in your delivery.

A test audience is also great for practicing your presentation. Ask family or friends for feedback!

This way, you’ll go into the presentation even more confidently. It’s important to practice exactly how the presentation will be conducted at the university. So, use the same laptop, the same notes, and slides.

Don’t forget to also prepare for possible discussion questions. A stuttering discussion can ruin a lot of your hard work.

By the way, even the world’s great speakers practice before they go on stage. All professionals practice, which is why they are so good.

If you want to learn more about this, I recommend reading “Turning Pro” by Steven Pressfield.

#2 Convey Confidence with Body Language

During a presentation, it’s not just about what you say, but also how you convey it nonverbally.

Body language plays a crucial role, as it affects not only the audience but also your subconscious.

Even if you’d rather shrink and disappear into the ground, stand up straight with a firm stance, feet a bit wider than usual, pull your shoulders back, and put on a smile – you’ll automatically feel more confident.

And if you’re still panicking on the inside, then just don’t let anyone see it. “Fake it ’til you make it.”

If some of your friends are among your classmates, even better. Try to make eye contact with them. They want you to succeed, and as your cheerleaders, they boost your confidence!

From my own experience, however, you need to master Step 1, practicing the content, before you can optimize your body language.

If you have to constantly think about what to say next, you’ll forget to pay attention to your posture.

The more you practice, the more attention you can give to the details, and the better you can overcome your fear of presenting in class.

If you don’t know what to do with your arms, hold a pen or a presenter. This gives your hands something to do, and you can gesture more effectively.

Overcoming the fear of presentations

#3 Calmness through Breathing and Relaxation Exercises

In stressful situations, we tend to breathe shallowly and quickly, which amplifies our nervousness. Through targeted breathing exercises, you can interrupt this reaction, lower your pulse, and get your nervousness under control.

A simple technique is diaphragmatic breathing, where you breathe deeply into your belly and slowly exhale. This improves oxygen flow, better energizes your brain, and automatically calms you down.

Place your hand on your belly to feel if you’re really breathing deeply into it.

You can also try to take a deep breath through your nose after your normal, shallow breath. As if you were trying to fill your lungs completely with air. Repeat it 3 times.

This technique slows down your pulse and calms you down.

Relaxation exercises like progressive muscle relaxation or meditation can also help reduce your tension and strengthen your concentration.

Regular practice of these techniques can decrease your fear of presenting in class over the long term and help you approach presentations more calmly and confidently. If you’re not already using a meditation app, now is the time!

My favorite is “Waking Up” by Sam Harris.

Before your next speech, it’s definitely worth spending a few minutes on breathing and relaxation exercises. You don’t necessarily have to do the exercises and meditations right before your speech, as that wouldn’t be practical.

Immediately before your speech, however, you will remember the techniques you have practiced extensively and can apply them unnoticed and spontaneously.

#4 Embrace Your Inner Stoic

“Surely I’ll forget half of it.” “I’m not prepared at all.” “My presentation is bad, the others are much better.”

Is your inner critic in top form on the day of the presentation? We definitely need to counteract this, as it unnecessarily increases your fear of presenting in class.

You can’t change your external circumstances. But you can change how you respond to them.

  • Accept Your Emotions: It’s normal to feel fear or nervousness. Accept these feelings, but don’t let them dictate your actions.
  • Focus on What You Can Control: Concentrate on the things you can influence in your preparation and presentation, and let go of things that are beyond your control, such as the audience’s reactions.
  • Use Negative Visualization: Imagine the worst-case scenario as mental training. Visualize your presentation going wrong, but then visualize how you calmly and collectedly respond to it.

Familiarize Yourself with Stoic Philosophy if your emotions and fears often overwhelm you. Often, giving a situation a new, more positive framing is enough to become more composed.

Look into books by Ryan Holiday and William B. Irvine.

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#5 Leave Nothing to Chance

You’re optimally prepared, the speech is ready, and belly breathing is already showing its effects. Time to start!

Quickly connect your laptop… Oh God, what kind of projector is this?

Why doesn’t the cable fit? And suddenly, the nervousness rises, and you’re completely thrown off.

To avoid this, familiarize yourself with the technology and the premises in advance. Arrive at least half an hour early and test the technology calmly.

Even better: Stay a little longer in the room the week before and get familiar with the set up in the room. If you want to show a video, test the sound and whether it plays through the room’s speakers.

Also, prepare backups. Prepare for the eventuality that the internet in the room doesn’t work. Download all files locally to your computer. Pull everything onto a USB stick, just in case. Bring your own HDMI adapter, just in case.

Be a pro. Be prepared. This way, you can overcome your fear of presentations.

#6 Focus on the Essentials

You’re deep into the topic, and so far, everything is going well. But what’s going on in the third row on the left? Why is someone yawning? And in the fifth row, someone has their head on the table!

Am I putting everyone to sleep? Even the professor just glanced out the window! Oh no! Even the Stoic gods can’t help me now. My presentation is boring and therefore bad!

Don’t make assumptions.

Try not to take everything personally. Even if someone yawns, it doesn’t automatically have to do with your presentation.

Maybe the person just slept poorly or was out late at a party. Stay focused on yourself and don’t be distracted by the audience.

I’ve had rows of students fall asleep during my lectures. But honestly, that’s happened to me before, too. It certainly wasn’t because of the lecture… 😉

It’s normal for different reactions to occur in the audience, and this doesn’t necessarily reflect the quality of your presentation. Stay calm and focus on what you have prepared well and how you want to convey the knowledge.

If they’re not listening, it’s their loss.

You do your part.

overcoming the fear of presenting in class

#7 Always Compare Yourself to Yourself

You don’t want to forget anything during the presentation, misspeak, blush, and definitely want to be able to answer ALL questions.

If you aim to do everything perfectly, you’re more afraid of failing. Try not to be so hard on yourself because there’s no such thing as perfection.

Even Justin Bieber has had a blackout during a concert, and the news anchors mess up despite years of experience.

And who remembers it the next day?

No one.

Realize: Nothing is perfect, so you don’t have to be perfect either. If you lose the thread, pause for a moment, collect yourself, and continue.

As long as your presentation is 1% better than your last, you’re doing everything right.

You’ll find that it becomes easier to give a presentation with each one.

So, be patient with yourself and don’t expect to overcome your fear of presentations overnight.

It’s a learning process, and with each presentation, you’ll become more confident and better. University is there to grow and make mistakes.

That’s the only way you’ll improve.

Why Nervousness (in Moderation) Can Also Be Positive to overcome your fear of presenting in class

You can alleviate the fear of presentations with the aforementioned 7 tips and a bit of patience.

However, a certain degree of nervousness before your presentation will almost certainly remain.

And that’s a good thing and often even makes your presentation better. So, you don’t need to completely overcome your fear of presenting in class.

Our body produces adrenaline in stressful situations. This hormone boost provides your body with more oxygen and energy – you’re more alert and your concentration and performance improve.

In short: The tension helps you to successfully manage the presentation.

If you view your nervousness as a positive companion, you can accept it as part of the natural process and deal with it. It’s important to recognize that you don’t have to be perfect and that it’s okay to be nervous.

Pros are nervous too. Nervous but prepared. Be a pro.

Categories
Study Hacks

Spaced Repetition: The Study Method for Top 1% Grades

The Spaced Repetition Study Method is about to change everything you thought you knew about studying.

Do you usually start studying for exams just 5 days in advance? No wonder you forget 80% of the material by exam day.

Educational research suggests that Spaced Repetition is the solution.

By applying this method before your exams, not only will you spend fewer total hours studying, but you can also continue your daily routines totally relaxed in the week leading up to the exam AND expect a top grade.

In this article, I’ll show you how to implement the method in 5 simple steps.

How Does Spaced Repetition Work?

Early 20th-century psychologist Hermann Ebbinghaus, a pioneer in research on human memory, conducted a series of self-experiments.

He attempted to memorize a series of nonsensical syllables and documented his success.

He found that he forgot information over time if he didn’t repeat it.

This observation led to the development of the forgetting curve, which shows how memories fade if not actively refreshed.

The curve flattens over time, meaning the intervals between repetitions can increase to achieve the same level of recall.

This effect is explained by the multi-store model of memory, suggesting that memories move from short-term to long-term memory.

Spaced Repetition is a study method based on this principle, aiming to anchor information more effectively in long-term memory. The key idea is that you retain information better when repeated over longer periods in increasingly larger intervals, rather than cramming in short, dense intervals.

First repetition: Shortly after initially learning the information. Subsequent repetitions: At increasingly longer intervals.

spaced repetition

#1 Understand the Mechanics of the Spaced Repetition Study Method

Imagine retaining everything you study not just for the next exam, but for years. Spaced Repetition makes this possible.

By repeating study material at progressively longer intervals, Spaced Repetition deeply embeds information in your long-term memory, similar to muscle training: regular, well-timed training leads to well-developed muscles.

Just like muscle memory, your brain builds strong recollections for your exams with Spaced Repetition.

Why is Spaced Repetition So Effective?

Each time you recall information after a longer interval, you strengthen the neural connection to that information, akin to turning a path in a dense forest into a broad road. These “roads” in your brain help you quickly retrieve information years later.

Studies support Spaced Repetition’s effectiveness, showing that recalling study material at increasing intervals challenges your brain to retrieve information from deeper memory layers (e.g., Cepeda et al., 2008).

This process of active recall solidifies your knowledge more sustainably than repeating information in short, dense intervals.

To outperform 95% of your peers, start studying with short, semester-spanning sessions as soon as you get the lecture notes, rather than cramming at the last minute.

spaced repetition 2

#2 Your Spaced-Repetition Schedule

Moving on to the foundation of the study method: the schedule.

While the science and principle of Spaced Repetition sound great, without a good plan for its implementation, it’s pretty useless.

First, get an overview of your study material and break it into manageable parts. Then, distribute these parts over a period leading up to your exam or the end of the semester, starting as early as possible.

The trick: You don’t repeat each part at regular intervals but in increasingly longer ones, e.g., on day one, then after three days, a week, two weeks, and so on. This may sound complex, but don’t worry—there are apps and software to help (more on that soon).

All you need to do is adjust your schedule for various exams so that the more frequent repetitions at the start don’t all cluster in the first week of the semester. Begin with the material for the exam scheduled earliest at the end of the semester.

Now that you have a plan, it’s time to integrate it into your daily life.

Make Spaced Repetition a (nearly) daily habit by finding a fixed time each day, perhaps in the morning or between lectures, and dedicate this time to your Spaced-Repetition study sessions.

Tip: Pair this session with something you enjoy, like your favorite café or an episode of your favorite podcast afterwards. This makes learning less of a chore and more a part of your daily routine you can look forward to.

Example Spaced-Repetition Schedule: Let’s say you want to learn a specific topic for an exam.

Here’s a simple schedule for applying Spaced Repetition:

Day 1: Study the new topic (e.g., Lecture slide deck No. 1)
Understand and process the information thoroughly. Clarify any questions (e.g., in a tutorial).
Day 2: First repetition. Review the previous day’s learning to solidify it. Use flashcards or software.
Day 4: Second repetition. Repeat the topic to strengthen the memory. Day 7: Third repetition.
Day 14: Fourth repetition. Review the topic again.
Day 28: Fifth repetition.
Day 30: Exam.

Maintain these intervals for all sub-topics (e.g., lecture slide deck). If you can stretch the period even further, to 60 or 90 days, even better.

This schedule is just an example and can be adjusted based on individual progress and needs.

The key is increasing the intervals between repetitions, maximizing the method’s effectiveness.

But in our digital world, you don’t have to create your study plan from scratch; there’s software for that.

#3 Software Tools

Traditional flashcards are great for manually implementing Spaced Repetition. Write a question on one side and the answer on the other.

If you answer a card correctly, move it further back in the stack. Incorrect answers go to the front.

Utilize the Active Recall principle at this point.

As we live in the digital age, you don’t have to make things harder for yourself.

There are many tools like Anki, Quizlet, or Memrise that help organize your study material and automatically adjust repetition intervals. These apps use algorithms to determine when you’re ready to revisit specific information.

In a comparative study among 3 groups (1: without Spaced Repetition, 2: Spaced Repetition, 3: Spaced Repetition with algorithmic personalization), the group with algorithmic personalization achieved the best exam results (Lindsey et al., 2014).

An algorithm can analyze how well you remembered information last time and how long ago that was.

Based on this, it calculates the ideal time for the next repetition, meaning the repetition intervals aren’t fixed but dynamically adjust to your study progress.

A major advantage of these apps is personalization. Everyone learns differently, and these tools take that into account.

If you make faster progress on a topic, the repetition intervals extend.

For topics you struggle with more, they shorten. This ensures you use your time efficiently and focus on areas needing more attention.

Many of these apps also offer tracking and gamification features, allowing you to monitor your progress.

This not only provides transparency but also motivation. It’s incredibly satisfying to see your knowledge build over time and how your efforts pay off.

spaced repetition 3

#4 Time Management and Efficiency: Study Smarter, Not Harder

“Spaced Repetition sounds good, but that means I have to start studying in the middle of the semester. That seems quite laborious.”

Ultimately, Spaced Repetition doesn’t necessarily mean investing more time in studying. You’re just distributing your time differently. Instead of cramming for 7 days and nights before the exam, you study continuously throughout the semester for a few hours each week.

Spaced Repetition is a real time-saver.

Rather than spending hours cramming and then forgetting most of it, Spaced Repetition allows you to learn more efficiently. By repeating information at optimal intervals, you spend less time reviewing things you already know and more time on what you need to learn.

This also means you spend less time studying and more time for other important things – whether for other courses, hobbies, or just relaxing.

Spaced Repetition helps you learn more—in less time.

#5 Combine the Spaced Repetition Study Method and Active Recall

If you combine Spaced Repetition with the study method Active Recall, as hinted earlier, you’ll not only reach your goals faster but also with a deeper understanding and longer-lasting memory.

With this approach, your next exam is sure to be a success. I’ve linked a video on Active Recall here for you.

Further Reading:

Cepeda, N. J., Vul, E., Rohrer, D., Wixted, J. T., & Pashler, H. (2008). Spacing effects in learning: A temporal ridgeline of optimal retention. Psychological science, 19(11), 1095-1102.

Lindsey, R. V., Shroyer, J. D., Pashler, H., & Mozer, M. C. (2014). Improving students’ long-term knowledge retention through personalized review. Psychological science, 25(3), 639-647.

Categories
Uncategorized

How to Write a Thesis in 2 Weeks: A 7-Step Emergency Plan

Need to write your 10,000 word thesis in 2 weeks? Oh dear! Well, let’s quickly figure out a solution.

Since you don’t have much time, the next 15 minutes of reading should be enough.

In this video, you’ll get personal emergency coaching consisting of 7 steps.

If you follow these steps one after the other in the given time, you still have a chance to submit your thesis in 2 weeks without failing.

Disclaimer Before we start, here’s a 10-second disclaimer:

I would never, ever recommend letting it come to this. If you’re only giving yourself 2 weeks for your thesis or final paper, you’ll have your reasons. These reasons are none of my business and are entirely your own.

If your goal is to excel intellectually in your thesis and get a top grade, then this video is not for you—in that case, you should check out my other tutorials.

This article is for you if you just want to get your thesis onto paper as quickly as possible—and pass.

So, let’s get to work.

#1 Lower Expectations and Drastically Increase Priority

The first question that comes to mind in such a situation is this:

Is it even possible to write a 10,000 word thesis in 2 weeks?

Of course, it’s possible.

It is even possible without any dirty tricks, plagiarism, or a Red Bull poisoning.

But only under certain conditions.

Lower Your Expectations to Zero

The first condition is to accept the situation and eliminate your expectations of a good grade or anything else. Approach the situation stoically and do your best to show yourself that you don’t give up.

That you don’t throw in the towel but make the best of the situation.

Visualize that you fail this thesis and accept that too.

This shouldn’t lead you to half-hearted action in the 2 weeks you have left. Rather, these 2 weeks are your chance to take on the challenge.

Now you can intensively train how to write a thesis in 2 weeks.

And if a second attempt comes, you won’t have to start from scratch.

Treat Your Thesis as Priority Number 1

Whether you can write a thesis in 2 weeks doesn’t depend on whether you can write well or are blessed with other talents. What decides now is your time management.

If you don’t make your thesis your top priority, it will be very difficult.

If you really want a chance, then your thesis must be the only thing you focus on now.

(Besides your health, but more on that later)

Make a contract with yourself and signal to your environment that you will be unavailable for a short time as usual. Put your phone in the fridge in the morning and don’t get it out until after work.

(Please don’t actually put it in the fridge, put it in a drawer.)

#2 Your Research Strategy for a Thesis in 2 Weeks

Enough of the admonishing words, now let’s move on to the substantive strategy for your daring venture.

The first strategic decision you must make concerns your research strategy.

What do I mean by that?

Basically, your research question and the method you want to use to address it.

Scientific papers in social sciences, but also beyond, can be divided into empirical and non-empirical works.

Why No Empirical Thesis?

For an empirical research design, you need qualitative or quantitative data that you collect through a survey or interviews and then analyze.

I would advise you, if you can make this decision yourself, to not pursue an empirical research design in this situation.

Not because it’s more difficult or time-consuming than a conceptual or literature-based work.

The reason is that you depend on other people.

You need to get people to fill out your survey or give you an interview.

Any situation in which you rely on others should be avoided if you want to write a thesis in 2 weeks.

Last Resort: A Literature-Based Thesis?

The only scenario in which an empirical research design makes sense is if you have already collected the data or have been provided with it.

Or any other case where you completely control the implementation of your methods, such as a simulation.

Bachelor thesis in 2 weeks

So, ask yourself what dependencies you have in your strategy and eliminate them all.

If you don’t have data available, you’re left with a literature-based thesis.

You can write a review for which you collect your “data” in the form of scientific articles.

The good thing about it is that you can decide for yourself how quickly you get your literature.

What types of reviews there are and what the literature collection looks like, you’ll learn in my tutorial on how to write a literature review.

Not all supervisers would expect you to write a critical review or a systematic review in a 10,000 word thesis.

Your thesis can also address a research question that you answer with an unstructured analysis of literature.

However, I would recommend choosing a recognized review strategy and implementing it step-by-step.

The advantage is that you can refer to one or two methodology articles that explain exactly how to proceed.

All you have to do is follow the instructions.

So you don’t have to waste thoughts on how to structure your thesis or what your research question should look like.

Everything is predetermined, and you save valuable time and energy.

If you choose the research strategy of a standalone literature review, you don’t need to feel bad about writing a thesis that is less valuable than an empirical one.

The synthesis of literature is an important part of scientific practice and can lead to great results!

#3 Set Up a Work Plan to Write Your Thesis in 2 Weeks

The next step in your emergency plan is a strict time allocation. Since every minute counts, you must work with sharp deadlines that you keep for yourself.

To not make it unnecessarily complicated, I suggest dividing the remaining time into three equal thirds.

Bachelor thesis in 2 weeks 2

1. Data Collection (first third)

2. Data Analysis (second third)

3. Text Production (third third)

Assuming you have 2 weeks available, you have 4 days and a few hours per third. Set the deadline for each third in the calendar and stick to it.

This way, you also have a sense of achievement every 4 days that motivates you to keep going.

Now let’s focus on each specific third and what you need to do.

#4 Data Collection (First Third)

For simplicity, let’s assume you’ve chosen a systematic literature review as your research approach.

Literature Search & Screening (Day 1)

On this day, your goal is to gather all the literature you need. Define your search key words and databases and try to land somewhere between 100 and 500 hits.

Once you’ve collected all the hits based on your keywords, the screening follows in the second half of the day. Now read the titles and abstracts and sort out.

If you end up somewhere between 20 and 30 relevant articles, that’s OK.

If you’re below that, keep searching through forward and backward search. You’ll learn what that is in my other tutorial on literature reviews.

Read, Read, Read (Day 2 and Day 3)

Now make yourself comfortable somewhere where you’re undisturbed and read your 20-30 relevant articles.

No one said you can’t have fun with your turbo thesis. So go to your favorite place and start reading. You can’t get around reading. Because without input, no output. The more you read on these days, the easier text production will be later on.

Collect text passages for indirect and direct quotes in an excerpt table.

How to set it up, you’ll learn in my tutorial on how to write an excerpt, where you also get a template for a table to start with right away.

Literature Management (Day 4)

Load all your relevant articles into your literature management tool (e.g., Mendeley or Zotero) and check if all metadata are correctly entered.

If not, supplement them for each article. If you have additional literature that you already know from your studies, add it and check the meta data of those.

If your thesis has about plus or minus 10% as many references as pages required, then you’re in a good range regarding the length of your reference list.

For a literature review, you can rather assume plus 10%.

Don’t skip the steps with literature management, because at the end of text production, you can generate your bibliography with one click and save valuable time.

If you still have time left, continue reading your 20-30 relevant articles.

Bachelor thesis in 2 weeks 3

#5 Data Analysis (Second Third)

The next 4 days you’ll be busy with data analysis. You’re preparing everything for the results and discussion section of your thesis here.

Analysis (Day 5-7)

For a qualitative evaluation of literature, as is the case with a most review types, the analysis mainly consists of coding.

This is nothing more than forming abstract categories based on your material, which consists of your 20-30 relevant articles. You can find plenty of tutorials on coding techniques on my channel.

The goal now is to form categories that summarize the contents of all your relevant articles. That’s now your task.

No matter which method you follow, empirical, literature-based, programming, design science – watch how the pros do it and follow their structure.

Scientific papers always follow the same blueprint. You just need to recognize the blueprint that is right for your thesis, adopt it, and fill it with your own content.

It’s not necessary to reinvent the wheel. On the contrary: Your supervisors want to recognize a blueprint that is common in their research discipline.

Creating Figures and Tables (Day 8)

Create a figure for your methodology section that reflects your data collection.

In the findings section, add tables that summarize your literature analysis.

For the discussion section, add a table or figure that abstracts your results (which are the categories you have built) and provide a small theoretical contribution (e.g., organize the categories in a small framework).

Again, I can only recommend that you take an example from existing research papers.

It is important that you create all your figures yourself and insert them in high resolution into your thesis. No pixels!

Detailed tutorials on writing methodology chapters, a findings and discussion section can be found on my channel or my online course.

Check out the video description for more info.

#6 Text Production (Third Third)

The last third is dedicated to text production. Don’t be intimidated by the fact that you haven’t written anything yet.

In the first and second thirds, you laid the foundation for what you’re writing about. If you start writing on day 1, you write into the blue without knowing where the journey is going.

Normally, I would recommend not starting with the introduction. In this case, however, you have already done all the preliminary work and can “write from the top.”

Open your literature management software and your excerpts from the first third and get started.

  • Introduction and Background Section (Day 9)
  • Methodology and Findings (Day 10)
  • Discussion and Conclusion (Day 11)
  • Revision (Day 12)

On day 12, you start again with the introduction and revise all chapters so that they are linked to each other.

Use the same terms, add references where you need more evidence, and check where you can make grammar improvements.

If you’ve been counting, this emergency plan leaves 2 days left.

At least one day is a buffer for formatting. After all, you still have to create your reference list, maybe an appendix, proofread and print your work, prepare a digital submission, and so on.

The last remaining day is your joker. Save it as long as possible and use it for unforeseen emergencies that are more important than this stupid thesis.

If everything goes well and you still have the joker day after completing the second third, then use it for a break. Which brings us to the last point of the video.

#7 Mental and Physical Health Management

As stressful as it may sound to want to write a thesis in 2 weeks – a 10,000 word thesis is by no means more important than your health.

You can simply write it again and failing is not bad at all. Who cares?

Only go through such a sprint, as I have described it, if you feel physically and mentally fit. If you’re already at your limit, then listen to your body and don’t make it worse.

Your health always has priority number 1, because if it’s out of balance, then you won’t enjoy a passed thesis anyway.

Since this emergency plan requires full days of work, I recommend planning them intelligently.

Work with 90-minute deep work sessions and take breaks in between.

In the middle of the day, I recommend a longer break. Go running or to go to the gym – after that you can continue fresh.

In the evening, set a limit that you don’t exceed. So that you still have enough time to wind down and don’t get less than 8 hours of sleep.

Try not to rely too much on junk food and caffeine, but on food that supplies your brain as best as possible.

Over a period of 2 weeks, it makes a big difference what fuel you give your body.

And now stop procrastinating and get started – time is ticking!

Categories
Scientific Writing

How to Write the Perfect Essay for University (3 Secret Tricks)

Do you want to know how to write the perfect essay for university this semester and achieve a top 1% grade?

Then you’re in the right place.

On YouTube, you’ll find plenty of video tutorials and guides on writing essays and term papers. There, you’ll get tips like:

Start with the relevance of your topic and structure your arguments from weak to strong. Well, thanks, I didn’t really need a tutorial for that.

This article is different.

Here you’ll get 3 secret tricks that will make your term paper so good, your professor will hardly believe you wrote it yourself.

To achieve this, I’ll skip the generic tips and instead give you solid text examples that I, as a university lecturer, would mark as outstanding.

#1 Position your essay in a controversial debate

How to Write the Perfect Essay for University is a question many students grapple with. Your essay or term paper is always good when it’s interesting. It is even better, if it can teach the person who is marking it something new or change their thinking.

Imagine you’re a professor and at the end of the semester, you get a basket full of term papers. In this basket are 30 submissions.

10 term papers are graded with a C or worse. 10 term papers with B or so, and 10 term papers with an A, or whatever equivalent you have in your country.

This results in a nice bell curve in the grade distribution, as with all academic assignments.

To land among the top 10, you need to fulfill all the basics, like correctly and citing relevant sources, achieving a high density in writing, and dealing with a topic that is related to the topic of your subject or class.

With the following trick, however, you will manage to stand out even more among the top 10 and enter the top 1%.

And that is by making your term paper MAXIMALLY interesting.

You can do this by…

  • Choosing your topic so that it is positioned in a scientifically and socially relevant (and even better: controversial) debate.
  • Teaching your professor something they don’t already know.
  • Developing a counterintuitive argument on a subtopic within this debate.

Okay, let’s go through these 3 things with an example. To make the learnings from this example relevant to you, simply apply the principles to your own field of study. Understanding how to write the perfect essay for university is essential for academic success.

How to Write the Perfect Essay for University

Position your essay in a controversial debate

A highly controversial debate in my discipline is the topic of the Metaverse.

This is because the concept of the Metaverse so far is purely fictional.

The technology is not yet advanced enough for the characteristics of the Metaverse to be met in the foreseeable future.

Moreover, the Metaverse is hardly used in practice yet, and managers make jokes about others who are involved with the Metaverse.

On the other hand, there are voices that are very enthusiastic about the Metaverse and would like to set the course for its development now.

Try to describe this debate in your essay or term paper and the problems that arise from it. Be sure to use the most current and high-quality references possible, if this is requirement for your submission.

Like this:

The term Metaverse refers to an environment that connects physical reality with a digital world (Mystakidis, 2022). Individuals can use digital avatars to enter Metaverse applications to facilitate social or business interactions (Duan et al., 2021; Park & Catrambone, 2007; Peukert et al., 2019; Yang & Xiong, 2019). In addition, Metaverse applications are characterized by four main features: (1) realism, (2) ubiquity, (3) interoperability, (4) scalability (Dionisio et al. , 2013; Mostajeran et al., 2022). Due to an ongoing discrepancy between technological feasibility and the conceptual requirements of these features, the term Metaverse is controversial. Dolata and Schwabe (2023) refer to this as a ‘constantly evolving socio-technical phenomenon that still needs to be defined’ (p.754).

  • Definition
  • Social relevance
  • Detailed description (as a basis for the controversy)
  • Controversy
  • Evidence for the controversy (as current as possible)

This way or similarly, you can build your argument in the introduction and deepen the same argument in the chapters of the main body of your essay or term paper.

How to Write the Perfect Essay for University 3

Teach your professor something they don’t already know

Your professor has probably already heard of this controversy. If you now treat this topic on this general level in your essay, you will only be able to scratch the surface. Setting clear goals can help streamline your approach to how to write the perfect essay for university.

A much better strategy is to narrow the focus of your work so that you can teach your professor something new. He or she will perhaps have read a handful of articles on the topic of the Metaverse and have a superficial understanding of the subject.

Now choose a specific aspect within the controversy and deepen it in your manuscript. For our example, let’s take the topic of work.

Sure, the Metaverse is there for playing, trading, consuming, and so on, but also for working. A small subtopic of the whole debate is whether the Metaverse can represent a better technology that can make work easier for us, for example, compared to currently used tools like Zoom or Microsoft Teams.

Your professor has most likely not thought through all the use cases of the Metaverse. With your term paper, you now address exactly this one.

With a clever Google search into the research interests of this person, you can also make an assumption about which use case or subtopic might be particularly interesting for them.

All you have to do is narrow down the debate. This makes the topic of your essay extremely specific and thus interesting, as it is new to your professor.

The commute to the workplace and office hours from 9 to 5 have given way in recent years to telework enabled by information technology (Baptista et al., 2020). Despite ad-hoc implementation during the COVID-19 pandemic, telework and collaboration over long distances have proven to be sustainable work arrangements (Hafermalz & Riemer, 2021). However, full-time telework has certain disadvantages. For example, social relationships, office gossip, but also interpersonal collaboration can suffer under remote work (Hafermalz & Riemer, 2020). To overcome the physical limitations of remote work, companies are using Metaverse applications for virtual collaboration (Dwivedi et al., 2022; Purdy, 2022).

  • Status quo on the topic of work
  • Problem with the topic of work
  • Argumentative link between work and the Metaverse

Develop a Counter-Intuitive Argument within the Subtopic

If you look at 5 random scientific articles on the topic of the Metaverse or Virtual Reality and work, you’ll quickly recognize a pattern.

It’s mainly about one thing: How can people collaborate better in these immersive worlds.

Okay, that’s an interesting question, but we said that we want to develop a counter-intuitive argument. The intuitive argument is that we will probably collaborate in the Metaverse. To get closer to the counter-intuitive argument, let’s turn the tables.

What if you don’t collaborate all day, but work alone? Knowledge work isn’t just about collaboration, but mostly about concentrated, uninterrupted solo work.

Couldn’t an immersive work environment also help in this case? How often does knowledge work suffer exactly because of constant distraction through forced collaboration in meetings, emails, notifications, and the temptation of the smartphone?

Here, I have tried to write down this counter-intuitive argument and support it with references:

“The existing literature underscores the potential of Metaverse applications to create innovative workspaces that increase social presence and promote effective collaboration (Bhagwatwar et al., 2018; Brünker et al., 2022). However, this paper aims to nuance the discussion on how Metaverse applications can compensate for the shortcomings of telework and video conferencing. In the current debate, the actual nature of knowledge work, namely undisturbed and concentrated solo work, is largely overlooked. If Metaverse applications are designed as an immersive twin of a traditional office workplace (Lee et al., 2022; Xi et al., 2023), companies will most likely forfeit the productivity gains achieved through the introduction of telework. Unfortunately, there is a tendency in the current literature to focus on virtually reintroducing elements of the traditional workplace, which we thought we had overcome with the widespread adoption of telework.”

  • Status Quo (orange)
  • Counter-Intuitive Argument (pink)
  • Problematization (green)
How to Write the Perfect Essay for University 2

#2 Analyze More, Describe Less

After you’ve implemented this first secret trick in your introduction in brief, the following chapters are about elaborating the counter-intuitive argument in detail. Striving for clarity and coherence is vital when learning how to write the perfect essay for university.

While you might conduct a small empirical study in a thesis, in an essay or term paper you primarily work with literature.

The mistake too many students make is to just describe this literature.

Authors X, Y, Z investigated in their study how… Author X calls this term such and such…

For an average essay or term paper, you’ll get by with that. But for a top 1% grade, you need more than that. You have to start thinking analytically, not descriptively.

What does it mean to be analytical? Here are some activities that are analytical:

ordering, breaking down, categorizing, classifying, comparing, connecting, contrasting, deconstructing, recognizing, representing, differentiating, distinguishing, dividing, explaining, identifying, integrating, inventorying, ordering, organizing, relating, separating, structuring. (Anderson et al. 2001)

You don’t have to do everything in an essay. Which of these activities could you perform to make your reflection of the literature more analytical?

  • Could you break down different positions in the literature on working in the Metaverse?
  • Could you categorize the potentials of the Metaverse for work?
  • Or maybe identify the key prerequisites for implementation in companies?

Tables as a Secret Ingredient

Look at your specific aim in analyzing the literature and implement at least one of these activities in your chapters.

To present the result of your analysis activity as well as possible, use this simple tool:

A table (or several).

The great thing about a table is that, unlike running text, it already has the analytical activity built-in. To create a table, you automatically have to order, compare, identify, and so on.

An excellent example is Table 1 in the already mentioned study by Dolata and Straub (2023), where the authors juxtapose various interest groups of the Metaverse.

#3 Give Yourself an Editorial Review (x10)

I often wondered what the difference is between my abilities in academic writing now and those I had during my studies.

As a student, you don’t know what you don’t know and simply haven’t had much practice.

That’s also what still distinguishes me from a professor who has 20 years more practice.

Nevertheless, I have noticed a few things that I do differently now than I did as a student.

I was slow in writing and took my time with every sentence. This led to me sometimes only managing to put down a page or even less per day.

Yet, I then left that supposedly perfect sentence as it was and didn’t revise it further.

How I would write a perfect essay today

That’s no longer the case today.

When I write a scientific paper, each chapter goes through several, sometimes even dozens of revisions.

Take the introduction, for example.

I write it once from beginning to end. As well as I can. Then I work on the current state of research and the theory part.

What I have read in the meantime or have developed argumentatively has implications for the introduction. I go back and work on the introduction again.

The same happens after I have finished my analysis, and so on.

With each revision, I make the introduction a little bit sharper, each sentence a little bit denser. I add a new reference here and delete an unnecessary sentence there.

Round for round, the introduction gets better.

It helps just to let the text rest for a weekend.

When I sit down to it again, I have a new thought, and the “old text” doesn’t seem as perfect as it did 3 days ago.

Be Your Own Editor

In these revisions, you are your own editor.

Of course, you can enhance this effect by getting feedback. A fresh and foreign pair of eyes brings you an additional perspective.

The more feedback and input you can get for these revisions, the better. And if the feedback doesn’t come from others, then from yourself.

How often do you revise each part of your term paper?

Once?

Then you’ve found something where there’s still plenty of room for improvement.

Academic writing is revising.

Again and again.

Remember, mastering how to write the perfect essay for university is a journey, not a destination.

Understanding the requirements is crucial for knowing How to Write the Perfect Essay for University.

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Uncategorized

Finding Articles for your Literature Review: The 5 Biggest Mistakes

You can’t figure out the process of finding articles for your literature review?

I hear this a lot.

The most common question I get from students is this: The topic I’m writing about is so new, there’s just no literature on it. What should I do?

In this article, we’ll get to the bottom of this. To do this, we’ll discuss the 5 biggest mistakes in searching literature for your research.

If you stick with it until the end, I even have an example for you on how you can craft an amazing literature review section, even if at first glance there seems to be no literature about the topic.

https://youtu.be/an5eqrgdd7U

#1 Too narrowly defined search terms

The first mistake students make when trying to figure out how to search for literature effectively is using too narrowly defined search terms.

The results of a literature search can only be as good as the filtering mechanisms you use.

Let’s use a simple example. For this, we need a topic that is so new that there is little or no literature to be found on it.

The example is: Universal Wallets

Universal Wallets are storage places for digital valuables. Maybe you have your own digital wallet to store cryptocurrencies or NFTs in.

In a Universal Wallet, however, you can store not only NFTs and coins but also other things like digital identity documents or other proofs of your identity.

Boolean Operators

For searching in literature databases, finding literature can be as simple as entering search terms. Using Boolean operators can help you to be more effective in your search.

If you are doing a systematic search process that you want to document in your methods section, this is an absolute must, because it ensures replicability.

But even if you keep your search terms for yourself and write a “regular” literature review section, Boolean operators can help you big time.

Especially the “OR” operator. For example, with “Universal Wallets,” you would get a low number of hits for the search term “Universal Wallet” in most databases.

In Google Scholar, however, an algorithm automatically combines your search term with synonyms and also gives you the next best results.

But if you’re searching on another database, that’s of no help to you.

Through the Google Scholar search results, though, I came across synonyms that I would never have searched for.

Wireless Wallets, Cloud Wallets, Electronic Wallets, Hardware Wallets, Wallet System, and Mobile Wallet seem to be related terms.

From this, you could make the search string “wireless” OR “cloud” OR “electronic” OR “hardware” OR “mobile” AND “wallet” for your database search on Scopus, Web of Science and so on.

You’d have to search for Wallet System separately or use brackets to include the term “wallet system.” It’s just a bit cumbersome because here “wallet” is the first word and not the second.

finding literature

Forward and Backward Search

If a refined database search yields no results, then you need to delve into some other tricks.

With a forward and backward search, you can find the sources upon which the few hits you did find are based, or sources that have cited them afterwards.

The best hit for the term “Universal Wallet” was the paper “Universal Wallets” by Jorgensen and Beck (2021). For the backward search, we simply look at the bibliography and see what we can find there.

Ha!

One paper cited there uses the term “Digital Wallet.” That’s something I could have thought of by myself.

But most often, when finding literature, I do not.

Now, searching for “Digital Wallet” yields endless results. A digital wallet is, of course, not what is meant by “Universal Wallet,” but it is still a related technology.

Thus, it’s perfectly feasible to build on the term “Digital Wallet” to describe what exactly is new about a “Universal Wallet” and why we cannot simply transfer the research on digital wallets to this more nuanced version of the technology.

#2 Inappropriate Databases for Finding Literature

The search terms are one thing. But if the database you are searching on simply does not cover enough sources, then even the best search terms and operators won’t help.

When you use databases, primarily use those in which the research of your own discipline is indexed.

A medical researcher searches on PubMed, a computer scientist on IEEE, and a psychologist on PsycNet. However, sometimes it pays to look beyond the confines of a discipline.

So make sure you also check out interdisciplinary databases. This could be something like Google Scholar, Scopus, or Web of Science.

Or you could look directly into another discipline if you already have an idea of who else might be interested in your topic outside your research field.

The more you can cover with your databases, the better. In the worst case, you find nothing there. But at least you’ve tried.

#3 Old Wine in New Bottles

Regarding “Universal Wallets,” there is certainly a difference compared to “Digital Wallets” or the good old-fashioned wallet.

However, this may not always be the case with other terms.

Take, for example, the topic of Digital Transformation.

The term has only been a trend topic for a few years, and since then, there has been a lot of research on it.

But what’s actually new about it?

Haven’t companies been introducing technology to improve their processes for 50 years?

Yes, they have. And there’s plenty of research literature on that. It’s just not found under the label “Digital Transformation.”

But if you search for “IT-enabled Organizational Transformation,” you get some hits from the last millennium!

And these hits might be relevant for someone wanting to study Digital Transformation.

So, when it comes to your topic, ask yourself: Is the topic really as new as the term describing it?

#4 Too Much Description

This mistake deals with the goal of your literature search. You want to write a literature review section on your topic and diligently cite relevant literature.

This approach isn’t necessarily wrong.

But you write a truly excellent literature section when you change your goal.

A poor literature review section merely recounts research on a topic but fails to gather enough relevant literature.

A mediocre literature review section manages to do so, but only describes what has been researched on the topic.

A fantastic literature review section gathers relevant literature, explains what has been done so far, and critiques or interprets what this means.

So, especially with a new topic, don’t focus too much on finding literature and citing every single source that somewhat fits the topic.

Instead, try to develop your own argument using a handful of relevant findings. For example, you could explain the difference between the new term and existing ones.

Or you could further develop the argument you used for motivation in your introduction.

We’ll look at an example of this at the end of the video.

finding literature 2

#5 Your Doughnut Has No Hole

If you’re writing a non-systematic literature review section, completeness is not a criterion. So your “cheese” of literature can have holes, as long as you develop an exciting argument.

But if you have a sweet tooth, try imagining the metaphor of a doughnut.

Let’s say you’ve convinced me, and your topic is indeed so new that there’s little research on it. And Finding literature isn’t always straightforward.

What you can do then is not look for the hole in the middle, but for the surrounding dough. What are the terms and phenomena that are closely related to your topic?

Work your way through the databases, gathering literature on somewhat broader topics and terms, and approach the doughnut’s hole argumentatively.

For “Universal Wallets,” you could start with the topic of Digital Wallets, explain what Crypto-Wallets are, and from there move on to Universal Wallets.

An Example for a Literature Chapter on a “Brand New” Topic

As luck would have it, I found an excellent example for you. In their paper on “Universal Wallets,” Jörgensen and Beck (2021) did almost exactly that.

They start not with the topic of Digital Wallets but directly with Crypto-Wallets. That’s how they begin their literature review section.

When it comes to “Universal Wallets,” they continue to cite literature.

But if we take a closer look, we realize that this literature has nothing directly to do with the term.

The chapter is a perfect doughnut!

The first source they cite is titled “Digital Lifestyle.” This source is somewhat more broadly related to the topic.

Then, the authors cite sources on “The Token Economy” and “Identity Ecosystems.” These two sources are closer to “Universal Wallets,” but neither directly refers to it.

Further sources revolve around “Blockchain Identity Management Systems” and “The potential of blockchain in education and health care.”

The last source is a report from the World Wide Web Consortium on “Universal Wallets.” When the academic literature is not yet extensive, reports from industry can also be helpful.

From this example, you can see how to write a literature review section on a topic without using a single academic source on that topic!

Avoiding the 5 mistakes I mentioned have taught you how to search literature effectively.

So from now on, “My topic is too new” is no longer an excuse. And if you meet someone who uses this excuse in your presence, send them this article! 🙂

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Uncategorized

How to Write a Literature Review with AI (revolutionary)

Are you feeling completely overwhelmed and don’t know how to start your literature review?

On top of that, time is running out, and you can’t afford to spend hours searching through various databases?

Fortunately, there are new, smart AI tools that are revolutionizing the world of scientific research.

In this article, I’ll show you the top 4 AI tools currently available that will help you write your literature review faster than ever before.

And I’m not talking about days—I’m talking about minutes! Let’s dive into how to write a literature review with AI!

#1 Paperdigest.org

If you’re in search of relevant publications on a specific topic, then paperdigest.org is the perfect tool for you.

You can easily input the subject of your research, for example, “Organizational Identity,” and with just one click, you’ll receive a comprehensive list of references for that theory.

The best part is that you have the option to choose: you can decide whether you want to see all the recent papers from the past year, the last five years, or all available papers.

Here, you need to tailor your search strategy to the goal of your literature review.

Goal: Explain a Theory

If this is your goal, I recommend selecting all available papers without any time restrictions and then working your way towards the more recent works.

If you’re writing a chapter about an established theory, you should never neglect foundational papers. These can be several decades old.

The AI tool provides you with an overview of how the theory has evolved over time and how you can narrate the theory’s development.

However, always incorporate your specific research question and your own argument while writing.

What you definitely don’t want is a theory chapter that sounds like it was generated by AI and reads like a Wikipedia article.

Goal: Review the Current State of Research

If this is your goal, then set the parameters to limit the selection to papers from the last 2-3 years. If the results become too sparse, gradually expand the time frame.

But don’t forget to check if there might be an extremely important paper that stands out. You can identify this by the number of citations.

You can selectively complement your literature selection from the last 2-3 years with these seminal papers.

What Else Can the Tool Do for You?

But that’s not all.

Paperdigest not only provides a list of papers but also summaries of these works.

You can create up to 5 summaries for free each day. If you need more, you can get the full version, which currently costs about 10 dollars per month (as of September 2023).

Remember to export or save the list of papers, as it can serve as a starting point for your further work in your literature review.

Paperdigest is best suited for when you’re not sure where to start with your literature review.

This way, you’ll get a summary of the most important and influential works on your topic. From there, you can continue your review.

At this point, I would like to remind you that you should not blindly use Paperdigest or any other of the following tools.

They are currently the best tools on the market, but they are not perfect yet. The AI in this field is just getting started and is constantly evolving.

The quality of your literature review still depends on you and how well you can connect the literature with your own argument and an original research question.

#2 Elicit.org

Thanks to Paperdigest, you now have an overview of your topic.

As you read the papers, make note of all the questions that come to your mind.

And now, our next tool comes into play: Elicit.org (which is currently free to use).

There is also a newer version available on elicit.com, but for the purposes I’m showing you, you should use elicit.org.

When you go to elicit.org, you can ask the tool a research question or enter all the questions that came to your mind while reading the papers.

Let’s take an example.

Let’s say you want to explain the theoretical concept of organizational identity in your literature review. Simply ask elicit: “What is organizational identity?”

And you’ll instantly receive a list of relevant sources.

If you sort them by citations, the most relevant articles will be displayed. Or you can sort them by year so that the most recent papers appear at the top.

If you click on the question box again, you can click on “Brainstorm more questions,” and you’ll be presented with additional questions related to your topic.

For example: “What are the components of organizational identity?” or “How does organizational identity affect employee engagement?” And you can again view relevant sources for these questions.

By doing this, you can delve even deeper into your topic and conduct an excellent literature search for your review.

One of the best features is also that you can display a summary of the abstract to quickly assess its relevance to your work.

Furthermore, you can view additional details of the papers, such as the number of study participants, interventions, and results.

This is especially handy if you want to examine papers based on their methodology.

how to write a literature review with ai

#3 Litmaps.com

Would you like to have a visual overview of research literature? This could be especially interesting if your entire work is a systematic review and you want to create visual representations.

In this case, the tool “Litmaps” comes into play (the free version, in my opinion, is sufficient).

With Litmaps, you can see the order in which the literature was published, how it is interconnected, and how it relates to each other.

Furthermore, the tool provides recommendations for additional papers you could include based on this information.

Here, you get a comprehensive overview of the current state of research and can be confident that the sources are relevant to your topic.

Litmaps also only displays papers that have been cited multiple times. This ensures that these works are important to other researchers as well.

Because what Litmaps represents are called citation networks. A paper is a node, and the connections between papers are the references made between them.

When you select a specific paper, you can see all the works connected to the original paper.

When you click on a paper, you get a summary, references, citations, and other works strongly related to the topic.

This makes it easier for you to select and delve into relevant literature, and it can enrich your literature review with a compelling visualization.

how to write a literature review with ai 2

#4 jenny.ai

The next tool is truly next level because it practically writes the review for you.

Here, you’re quickly entering the gray area between AI being a helpful tool and plagiarism, but we’ll discuss how to handle this at the end of the video.

With jenny.ai, you’ve never written a literature review as quickly before.

Generating text with Jenni.ai

After logging in, you can create a new document. Let’s say you’re working on a literature review, in which you’re using organizational identity as a theory.

Immediately, you’ll receive suggestions on how to start. If you like a suggestion, you can accept it, and Jenni AI will formulate the next sentence based on that. However, you can also ask for more suggestions until you’re satisfied.

Furthermore, you can introduce your own ideas into the tool to steer the text in a specific direction. Jenni AI can then continue to work based on this input and provide you with further text suggestions.

When it comes to citations, the tool is quite helpful as well. Currently, this is a weakness of many other tools, such as ChatGPT.

Suppose you want to include a citation. You simply highlight the relevant text, click on “Cite,” and Jenni AI will search various sources for relevant publications to support the sentence.

You can then easily add the desired citation. However, please note that you should verify the accuracy of your citations and the suggested sources. I cannot stress this enough, but you are responsible for doing so.

Jenny AI also offers various citation styles to choose from. My preferred style is APA, where the reference is placed in parentheses in the text. However, Jenni AI offers flexibility, allowing you to choose your citation style based on your supervisor’s requirements or the preferences in your research discipline.

how to write a literature review with ai 3

Ask Jenny

Another really great feature is the chat function.

With a click on “Ask Jenny,” you can ask Jenny to perform various tasks for you. Think of this function as ChatGPT but optimized for research.

For instance, you can ask for headings for your subchapters, and you’ll receive an outline to which text will be automatically generated. It really can’t get any easier than this.

Jenny AI is genuinely impressive when it comes to writing.

Unfortunately, this convenience comes with a price, but it’s still quite reasonable, in my opinion.

With the free version, the AI generates up to 200 words per day. If you need more words, you’re looking at 20 dollars per month (as of September 2023).

You can get 20% off if you use my code SHRIBE20.

My Assessment of Literature Reviews with AI Tools

AI tools are here to stay.

From my perspective, it doesn’t make much sense to ignore or refrain from using them just because they are new. However, that doesn’t mean you can skip critical thinking.

Even with AI tools, your literature review will only be as good as your ability to understand and utilize this new technology.

The four AI-powered tools mentioned here can help you find relevant sources, create summaries, and enhance your literature research.

Of course, this also doesn’t mean that you shouldn’t read for yourself and become an expert in the subject of your research. It would be embarrassing if you were asked a substantive question about your work, and you couldn’t provide an answer.

Don’t leave the thinking to AI, but rather delegate repetitive tasks to it. Use the time you free up not to scroll through social media but to invest your cognitive resources in creative thinking that enhances your academic work.

As always, what we discussed today also means that you should be transparent about your use of AI. Describe in your methodology section or declaration how and which tools you used as aids.

Having gone through the steps, you now know how to write a literature review with AI!

For more on this topic, refer to my ChatGPT plagiarism video.

Categories
Study Hacks

Time Management for Students (The Secret 3-Step Formula)

Do you feel overwhelmed by a mountain of scripts, presentation deadlines, and assignment due dates? Mastering time management for students can be a huge challenge amidst all this chaos.

No need to panic.

That’s precisely the challenge. In your studies, you’re being tested—tested on whether you can organize yourself well enough to meet all the requirements for your desired degree. The pressure that arises from this is artificial and exists only in your mind.

There’s a simple way to transform time pressure into boundless energy.

In this video, I want to show you how by revealing three crucial secrets. Once you have understood these secrets, you can master the mercilessly ticking countdown of each semester and achieve all your academic goals with ease.

#1 Setting priorities

The first secret most students do not know that time is not the issue. The issue is setting the right priorities.

Take a step back and look at your semester from a bird’s-eye view. It’s best to take a sheet of paper and write down all your subjects.

Now, break down each subject into its respective tasks (e.g., exams, presentations, assignments, etc.).

Now, put the individual tasks in order by evaluating them based on certain criteria:

  • number of credit points
  • proximity to the deadline
  • personal interest in the topic
  • current progress/knowledge level

Some of these factors may be important to you (e.g., credit points), while others may be more secondary (e.g., fascination with the topic). But it could also be exactly the opposite. Only you can make this assessment.

It’s important that you do.

By considering the proximity to the deadline, you’ve added a time dimension, which is helpful for visualization.

The whole thing might look something like this:

[Here, you can create a visual representation with the courses and tasks ranked according to the criteria mentioned above.]

The end of each bar marks the submission date, and the length of the bar marks the time you allow for each project.

time management for students

#2 Goal Setting

The obligatory quote to emphasize the importance:

“The slowest one who does not lose sight of his goal will still move faster than the one who wanders aimlessly.” (Gotthold Ephraim Lessing, German Philosopher)

Setting goals while you study is essential. Otherwise you don’t know in which direction you need to go.

Plus, it’s not enough to just think about your goals.

Goals must be written down and regularly reviewed.

For managing your time during the semester, I suggest a three-tiered structure: months, weeks, and days.

Monthly Goals: Let’s assume the scenario I showed you with the exam, the presentation, and the assignments takes place within a single month. Your four tasks can be formulated as four monthly goals:

  1. I pass my retake in Course B with a grade of X or better.
  2. I receive a grade of X or better for the presentation in Course A.
  3. I pass the assignment in Course A with a grade of X or better.
  4. The poster in Course C earns me a grade of X or better.

If the timeframe for completing an assignment (or the study phase for an exam) extends over two months, you can formulate your goal differently:

  1. By the end of the month, I have completed the literature review and theoretical framework (at least 6 pages of text) for the assignment in Course D.
  2. Summarize and review scripts 1-8 for the exam in Course E twice each by the end of the month.

Weekly Goals: Your weekly goals differ from the monthly level in that you can be more specific about your intermediate objectives.

  1. By the end of the week, I have watched and transcribed 8 out of 12 learning videos from Course B.
  2. The literature research for the assignment in Course A is completed by the end of the week (at least 40 high-quality literature sources).

Review your weekly goals every Sunday evening and set new ones for the upcoming week.

  • What worked?
  • What didn’t?
  • How can you approach things better to achieve all your goals this week?

Of course, you must approach goal-setting in a way that aligns with your monthly goal (If you plan to watch 2 learning videos per week, but there are 12 in total, you won’t achieve it in one month).

Daily Goals: Now, go one level deeper and divide your days. There are two possibilities:

  1. Create themed days: In this first approach, you dedicate each day to only one thing (in this case, a task for a specific course). For example, Monday to Wednesday could be study days for your exam, and Thursday to Saturday could be solely for your assignment.
  2. Plan every day the same: The right strategy depends on your daily schedule. If you have full-day lectures or work on three days a week, you need to adjust your daily planning flexibly.

During the lecture-free time, you can structure your perfect study day by dividing it into blocks that correspond to your priorities and other factors such as your biological rhythm and learning type (e.g., morning person vs. night owl).

Place the activities for the top priority at the beginning of the day as willpower will decrease later.

An optimally structured study day could look like this:

[Here, you can create a detailed schedule for a study day with different blocks of activities, taking into account your preferences and circumstances.]

time management for students 2

#3 Treat studying like a job

When it comes to time management in your studies, you are allowed to think completely in black and white for once.

What do I mean by that?

When you close your book, you’re done for the day.

Studying doesn’t have fixed working hours like a job. You have to create them for yourself.

If you don’t, thoughts about tasks will haunt you right after waking up, before going to bed, or even on weekends.

You can forget about all tasks with a clear conscience once you’ve completed your daily goal.

It’s crucial to switch off completely.

When you’re doing sports or meeting friends, university-related thoughts should have no place in your mind.

Conversely, the same applies.

When you’re in a study session, your phone has no place on the table.

If you get distracted, you won’t achieve your goal, and you’ll need more time to reach the same result. Leave your phone in a locker at the entrance to the library; it helps.

Final Thoughts

The achievement of your goals, even if they are just small ones, must be celebrated.

Reward yourself with something that brings you joy and that you look forward to.

I have discussed this topic in more detail before in my video on study motivation.

You can also motivate yourself by making your progress visible.

You can add small checkboxes to your daily goals if you find satisfaction in ticking off tasks.

I use the same technique for my research papers.

Whenever a paper reaches a new round of revisions or is accepted somewhere, I give its entry in my list a new label and a nice colour.

This small ritual gives me tremendous satisfaction. And it motivates me to master this list, even though I am the only person that knows this list exists.

Additionally, keep reminding yourself why you are doing all of this.

There is hardly a greater motivation than pursuing the dream that lives deep inside you.

And have fun along the way.