Back to School: Knowledge Management Methods and Tips Beyond the Classroom

As the back-to-school season arrives, many sspai readers are students. For those entering university after this summer vacation, what lies ahead may be a new city, a new living environment, new friends, and more freely scheduled time for studying and exploring. Therefore, as in previous years, sspai has compiled a series of content and resources centered around the back-to-school topic.

Whether you plan to pick a good device or tool for yourself, dive into knowledge and books, develop a new hobby, or enrich your college life, these articles can provide some reference and help.

The first day of school arrives in the blink of an eye. And graduation day comes just as quickly. For most junior and senior students preparing to graduate, the thesis is a formidable hurdle standing right in front of them.

If you are a freshman, developing good habits early on for reading, organizing literature, and summarizing problems will make your academic life much easier than others. At sspai, many authors have shared their experiences and methods across various stages of knowledge accumulation, literature management, and thesis writing. Some have just finished their graduation theses, some are pursuing master's or doctoral degrees, and others are university teachers engaged in academic research.

In this article, we have compiled some high-quality content from these authors, hoping to bring some help to your thesis writing and academic life.

Finding the Right Fish in the Sea of Information To dig deep into a field of interest, extensive reading and accumulation are essential. In practice, when facing a massive amount of papers, news, and books, relying solely on "perseverance" and "determination" to force-read is unwise and unrealistic. At this point, proper "information retrieval" skills can help you locate the content you need more accurately, achieving twice the result with half the effort.

Databases: Quality Over Quantity Many students, when preparing to read, don't know where to start. They randomly search for various collection posts and pile up a dozen or twenty recommended resource databases in front of them. When it actually comes to searching, they are overwhelmed by the many paths they've saved and end up taking none of them properly. In the article "How to Build a 'Thinking Brain': My Information Gathering and Organizing Method," Konggu pointed out this phenomenon and, based on personal experience, provided streamlined recommendations for four major categories: books, papers, videos, and other fragmented information. In addition, the author shared their information organizing methods and workflow for interested readers. If you are struggling with where to start your information retrieval, you might want to check out this article.

Techniques for Screening Articles After choosing the right database and entering the correct keywords, dozens or hundreds of papers might pop up. If it's a popular field, thousands of papers are definitely more than a student can digest at once. In fact, the search page already provides a lot of information; the paper details page and author details are enough for you to screen a suitable article. Hongling's "My Thesis Topic Selection and Literature Review Methods, Which You Might Also Find Useful" summarized the bits and pieces of the literature reading process. From literature retrieval to brief screening, and then to subsequent reading, organizing, and note-taking, every step is covered. These experiences might make getting started a little bit easier for you.

A Complete Literature Organizing Workflow is a Burden-Relieving Tool In the actual thesis writing process, what we often lack is not the number of papers, but the ability to quickly find the ones we need. Without good literature organizing habits, a significant amount of time during writing will be wasted looking for the right available literature. "I read such an article, but I can't find it" is a real torture. The earlier you establish a complete workflow for categorizing and organizing literature, the more efficient you will be in subsequent research and writing.

Finding the Workflow That Best Fits Your Scenario When reading literature, you may encounter various problems: some sources are paper books and some are electronic, notes are too scattered, you forget the main points of what you've read over time, or you can't find the connection between two documents. Everyone's work and study environment is different, so simply copying others may not yield good results. chyixian is a liberal arts doctoral student studying in Japan. Due to practical factors like Japan's slow digitalization process, her literature sources are numerous and messy, so she sought out a literature note workflow that suits her best. More importantly, the article "Material Management, Reading, and Note Systems from a Liberal Arts PhD's Perspective" records not only the tools but also her process of thinking and conceptualizing. Readers can learn the approach to considering problems from these records, rather than just an isolated result.

Trying Efficient Note-Taking Methods "Read and write, then forget after writing" is a major problem many encounter when taking notes. Faced with mixed notes and thoughts, if scattered blocks cannot form a tight network, there is no way to build information into knowledge step by step. These read materials will gradually be forgotten due to a lack of connection. What teachers often call "building a knowledge network in your mind" is exactly this principle: only when information is organically connected can it form an effective structure. The problem is that at the beginning of building a knowledge network, memory can hardly directly support the structure of this huge network. At this time, some effective auxiliary means may be needed to help us do this well.

The "Zettelkasten" (Card Note) method is a note-taking system adopted by German sociologist Niklas Luhmann, which achieves the connection and retrieval of knowledge points or notes through a series of operations like screening, indexing, and tagging. He Yanyan provided a detailed introduction to this note method and its application in her article. If you don't know how to organize your knowledge system or how to get rid of the "forgetting after reading" problem, this article can be helpful.

Besides Roam Research mentioned in the text, you can also practice the Zettelkasten method with other tools. stevesun also provided his own example of practicing Zettelkasten in Notion. If you want to adopt other tools, you can compare the two articles for reference.

Another highly discussed system is P.A.R.

A. This is an organizing scheme centered around projects and areas, systematically organizing input content into Projects, Areas, Resources, and Archives, building a stable and systematic architecture for your note system to facilitate future retrieval and output. JuniperPhoton used this system in his Notion notes.

If you don't know how to categorize and organize the fragmented knowledge you acquire daily, you can try referring to his method. Yorkson shared in an article how he applied the P.A.

R.A. system to his literature management system, and you can try modeling it according to your own research field.

In addition, there is the INL structure shared by other authors that focuses more on current tasks. However, this format is usually more suitable for life notes, and study notes with a clear enough framework may not be applicable. You can judge for yourself after reading.

What Suits You Is the Best Suitable note software will save you a lot of trouble, but the development of note software has now stabilized. The core features of early versions of major applications can now mostly be found in other products. Whether it's Notion, Obsidian, Logseq, or Heptabase, there is room for tool selection, but ultimately it comes down to actually taking notes. With ideas and methods in place, tools can be used to their fullest potential. For example, although there are many excellent dedicated applications for literature management, using existing note apps can still build a literature note database that fits your workflow. MuyiBenature's article detailed his Obsidian usage, unifying his entire note system into an Obsidian-centric solution. If you don't know where to start, you can refer to his construction method and思路.

Ultimately, processes like literature reading and material organizing must be determined by a series of factors such as your own usage habits and frequently used tools. This is why you should "adapt" rather than "copy." sspai has many articles on literature organizing and note-taking, and these were selected because they not only share the authors' experiences and practices but, more importantly, they carry the thinking process, letting you know not just the "how" but also the "why.

" He Yanyan's "What Kind of Bidirectional Links Do We Need, and Is It Right for You?" reflects on the currently popular "Zettelkasten + Roam Research + Bidirectional Links" model. In fact, any methodology is like this: before and during use, you can reflect and evaluate, gradually discovering the literature organizing method that suits you best, so you can smoothly start your research work.

Many applications have also integrated AI features to assist with literature management. For example, DEVONthink, a veteran macOS file management app, fully integrated generative AI models in its major 4.0 update—supporting mainstream LLM APIs like ChatGPT, Claude, and Gemini, as well as locally deployed models via Ollama or LM Studio.

Additionally, the new version can use AI to search documents with natural language, automatically generate knowledge graphs, and summarize document content. If you're not quite familiar with AI's impact on knowledge management, you can actually draw some inspiration from this tool introduction. More modern tools like Obsidian are naturally not lagging behind.

With its powerful plugin system, Obsidian combined with Claudian and Obsidian CLI can make knowledge management automatic and easy. You can also refer to Xijiaocishenglin's example of using the Obsidian note system to help review advanced mathematics, to see how Obsidian's plugin system can be integrated into the learning process.

Another approach is to break traditional frameworks and let your notes directly grow into a graph. "Deep Dive into Freeform: A Revolutionary Knowledge Management System" introduces a knowledge management concept based on Apple's Freeform. Traditional note tools involve complex material categorization and organizing.

Freeform provides an infinite canvas, a boundless storage box, allowing you to quickly collect fragmented information and process it uniformly, without struggling with categorization during the collection phase. This intuitive, whiteboard-like organizing method might help you get started quickly if you feel at a loss with traditional tools. Furthermore, this way of organizing knowledge might be a great help when you're reviewing for exams.

Integrating AI into Your Knowledge Management System The wave of AI is reshaping the way we learn, research, and manage knowledge at an unprecedented speed. Radically speaking, AI is bound to be linked with learning and research, and it will definitely be used. But simply turning AI into a search engine or an answering app will only turn a powerful new tool into a stumbling block for progress. How to make AI truly helpful to oneself is a question that requires learning, thinking, and repeated testing in practice. Finding the right path allows it to turn scattered knowledge into your own usable assets at an unprecedented speed.

In "What Are My Daily AI Tools and Workflow?" Wang Shuyi shared the AI tools he uses daily and their division of labor. His core idea is "heavy tools, light use"—not letting one tool do everything, but letting each tool play to its strengths in its best area.

The article's introduction to common AI tools is quite comprehensive, and the思路 can be used as a reference. However, it's worth noting that because AI tools iterate rapidly, some conclusions in the article may no longer apply, and using multiple AI tools also has cost issues. It's recommended to just reference the思路.

Liaocao Xuezhe's "My Knowledge Management System in the AI Era (2025 Edition)" is a comprehensive upgrade and open-sourcing of the author's knowledge management system, which he has polished for over 5 years. The author defines the knowledge management system as the CARD four-step method: Capture, Absorb, Repository, and Deploy. Each step details the principles, methods, tools, and the role AI plays in it.

If you want to build an AI-integrated knowledge management system from scratch, every part of this article has high reference value.

Haoo_7's method shared in "Annual Essay | Efficiency Talk: Saying Goodbye to Pen and Paper Pioneering, How to Use AI to Assist Learning?" focuses more on student life. The core tool combination in the article is NotebookLM (AI knowledge base) + Obsidian (Markdown note software) + Xmind (mind mapping tool), which can be strung together into a complete study workflow.

The method is simpler than the previous two and more suitable for student readers.

Good Methods for Writing Papers Lead to Good Papers For students, the retrieval, reading, and organizing methods mentioned above ultimately have to be implemented in their own creations. It might be a group assignment, a small project, or a graduation thesis. These writings naturally have their own rules and techniques. Mastering the right methods and思路 can make your paper output even smoother.

A Good Article Starts with Selecting a Topic A good paper, even a small classroom assignment (or an sspai article), must start with a good topic. Many people still can't figure out their topic even when the defense is imminent, relying on supervisors or classmates for help. Articles done this way will likely not turn out well, and might not even pass. You might as well try starting earlier, learning to find phenomena, discover problems, and determine a topic. With a research mindset, you can naturally be one step ahead on this path. Sharon Dajuzi's "How Simple Is It to Determine a Thesis Topic? Let Me Show You with sspai" uses sspai, which you are reading right now, as an example to show how a small question gradually evolves into a standard thesis topic. If you are a student in the humanities or social sciences, this article may inspire you.

After explaining how to select a topic from a student's perspective, let's look at how the final topic report submitted to the supervisor should be presented. Yushuzhilan's article, from the perspective of a university teacher and supervisor, explores what might go wrong in a thesis topic report and where detours might occur. This article grew out of his conversations with students about topic selection.

Good Working Methods Lay the Foundation for Research With a topic in hand, the next step is to enter the research process. To conduct a comprehensive and rigorous study, correct and appropriate research methods are indispensable. Among various research methods, questionnaires are perhaps the most frequently used. Whether for a graduation thesis or a group assignment, questionnaires always "seem" the most convenient and easiest to analyze. But in practice, questionnaires as a method actually have many pitfalls; one careless move can lead to a biased questionnaire and wrong conclusions. This article breaks down the precautions for questionnaire design step by step according to standard procedures. Even if you've started working, this knowledge might still come in handy.

If you are very interested in research-related content and want to learn more, you might want to check out Teacher Wang Shuyi's (@Yushuzhilan) paid subscription course on sspai, "A Comprehensive Guide for Research Novices." The course provides detailed explanations of problems research novices might encounter across six aspects: topic selection, literature research, paper reading, writing, defense, and others. You can head to the course details page to view the full syllabus.

There is also an unavoidable question: Can AI be applied to scientific research? In "Vibe Research: The First AI Crisis in Social Sciences?", TomBen introduced the rapid evolution of AI used in academic research and paper writing, and explored the ethical and practical issues of "Vibe Research.

" It is worth mentioning that this article itself was written with AI assistance. Both the discussion content and the writing method of the article are worth referencing for readers entering academia. Teacher Wang Shuyi's "Does AI Count as a Research Method?

" discusses from a teacher's perspective to what extent AI should enter research. Starting from "truth-seeking" and "reproducibility" in the scientific spirit, the article analyzes the inherent limitations brought by the "probabilistic rather than logical" nature of large language models. This kind of discussion on research ethics may not directly help your study and research much, but having a scale in your heart ensures that the "knowledge" you learn and put into practice isn't just fooling yourself.

Good Formatting Puts the Finishing Touches on Your Hard Work After a series of torments, your paper and report are finally finished, but there is one last step before ultimate liberation: formatting. Rather than saying paper formatting is mysterious, it's better to say Word is too mysterious—it's inconvenient, not fast, and always has messy little issues, but its ultra-high market share makes it an unavoidable choice. Even though many schools have adopted PDF as their preferred format, you may still need a Word draft to communicate and revise repeatedly with your supervisor. This "Thesis Formatting Guide" was written by the author after completing their master's thesis, covering basically all the Word formatting operations you need to learn. If you are fortunate enough that your major, school, and supervisor allow you to adopt other formats and tools, there are also writing tool and workflow introductions for LaTeX and Markdown for you to choose from.

We hope you study solidly and happily in the new academic year, and we also hope these articles can provide a little help on your academic research path. In addition to the methodological content above, if you have decided to dedicate yourself to academia and want to manage potentially massive amounts of accumulated literature in a more professional way, you can also check out our separately prepared article, "Back to School | Pick a Handy Tool and Learn Literature Management Early." Understanding the mainstream literature management tools before starting, choosing more professional literature management software, and developing habits more conducive to academic development will save you the trouble of migrating later.

If your major has high requirements for formulas and charts, you may also need to learn LaTeX, for which we have prepared corresponding video tutorials and academic writing manuals. And if you chose Notion among a crowd of note tools, you can also check out sspai's knowledge...