Note-Taking Methods That Actually Help You Learn

The two jobs of a good note

Researchers have long described two ways that notes help learning. The first is the encoding function: the act of choosing what matters, putting it into words and organising it makes you process the material more deeply while you hear or read it. The second is the storage function: notes are an external memory you can come back to and review. Studies since the 1970s suggest that both matter, but that the storage benefit is usually larger, provided you actually review the notes.

This has a practical consequence. A note-taking method is good if it makes you think during the lecture and if it produces something easy to review and test yourself on afterwards. A method that captures every word but requires no thinking fails the first job. A method full of clever symbols you cannot decode a week later fails the second.

It also means that the work does not end when the lecture does. Notes that are written once and never opened again deliver only a fraction of their value. Much of the benefit comes from what you do with them in the following days.

Write it in your own words, not word for word

When a lecturer speaks quickly, the natural reaction is to transcribe: capture as many of their exact words as possible and worry about understanding later. The problem is that transcription can happen with surprisingly little thought. Your hand is busy, your mind is following the sound of the sentence, and the meaning passes by. Learning researchers call the opposite approach generative note-taking: summarising, paraphrasing, connecting a new point to what you already know or writing a question it raises.

Paraphrasing forces a small act of understanding. To write a sentence in your own words, you have to decide what the original sentence meant. If you cannot do it, that is useful information: it marks a point to ask about or look up, rather than a gap you will discover the night before the exam.

There are exceptions. Definitions, formulas, dates and exact wording that you will be graded on should be copied precisely. Everything else, especially explanations and examples, benefits from being compressed into your own short sentences. A good rule of thumb is to write less than you hear and think more than you write.

Pen or laptop? What the research really says

In 2014, Pam Mueller and Daniel Oppenheimer published a widely shared study titled The Pen Is Mightier Than the Keyboard. Students who took notes on laptops wrote more words and copied more verbatim from the lecture, and in some of the experiments they did worse on conceptual questions than students who wrote by hand. The explanation offered was that slower handwriting forces people to summarise, while fast typing invites transcription.

The picture has become less clear since then. In 2019, Kayla Morehead, John Dunlosky and Katherine Rawson ran a direct replication and did not find a reliable overall advantage for handwriting. Later reviews have come to similar conclusions: the device matters less than what you do with it. Typing everything verbatim is a weak strategy on either medium, and handwritten notes that are never reviewed do not help much either.

The clearer risk with laptops is distraction. Messages, tabs and notifications compete for attention during the lecture, and studies of classroom laptop use have found that multitasking hurts not only the person doing it but also students sitting nearby who can see the screen. If you type, close everything except your notes, consider full-screen mode, and deliberately paraphrase rather than transcribe. If you write by hand, plan how you will review and search those notes later.

The Cornell method

The Cornell method was developed in the 1950s by Walter Pauk, an education professor at Cornell University, and described in his book How to Study in College. It is still one of the most practical systems because it builds review and self-testing into the layout of the page.

Divide the page into three parts. A wide column on the right, about two thirds of the width, is for notes during the lecture. A narrow column on the left is the cue column, which stays empty during the lecture. A strip of a few lines at the bottom is for a summary. After the lecture, ideally the same day, you reread your notes and write short questions or keywords in the cue column next to each section. Then you write two or three sentences at the bottom summarising the whole page.

The real strength of the method shows up when you study. Cover the right-hand column with a sheet of paper, read each question in the cue column and try to answer it from memory before checking. Your lecture notes turn into a ready-made set of practice questions, which connects directly to active recall, one of the best-supported study techniques there is.

Outlines, maps and tables: choosing a method for the material

No single method fits every subject. The best choice depends on the shape of the material: whether it is a hierarchy of ideas, a web of connections, a set of items to compare or a series of steps. Many students use one main method and switch when a particular lecture calls for something else.

Four common formats and where each works best:

• Outline: headings, subheadings and indented points. Works well for structured lectures that move from topic to subtopic, such as law, history or biology chapters.
• Cornell: notes on the right, questions on the left and a summary at the bottom. A good default for almost any lecture you will be tested on.
• Mind map: a central idea with branches and connections. Useful for seeing how concepts relate, for brainstorming essays and for reviewing a whole unit on one page.
• Table or chart: rows for items and columns for features. Ideal for comparing theories, drugs, historical periods or programming languages side by side.
• Flow diagram: boxes and arrows for processes and cause and effect. Helps with biological pathways, algorithms and economic mechanisms.
• Annotated slides or worked problems: notes written next to existing material. Efficient for maths and technical courses where the steps of a solution matter more than prose.

The first 24 hours: process your notes while they are fresh

Lecture notes are at their most useful in the first day after the lecture. You still remember what the abbreviations mean, which example went with which point and what the lecturer stressed. A week later, a lot of that context has faded, and filling the gaps takes much longer. This is the forgetting curve at work, and it applies to your notes as much as to the material itself.

A short processing session, usually 15 to 25 minutes per lecture, makes a large difference. Read through the notes, fix anything unclear, fill in missing steps from the textbook or slides, mark points you still do not understand and add questions in the margin or cue column. Finish by writing a short summary of the lecture from memory, without looking, then compare it with your notes.

Do not rewrite your notes neatly just for the sake of it. Copying notes into a nicer notebook feels productive but is mostly transcription again. If you rewrite, make it a transformation: turn a page of prose into a table, a list into a diagram or a section into a set of questions. Changing the form forces you to think about the content.

Turning notes into study sessions in Opcus

Processing notes is easy to postpone because it never feels urgent. Making it a task with a clear size helps. In Opcus you can add a task such as Process biology lecture 5 notes and give it a target of one session. When processing has its own small, finite slot, it is much more likely to happen the same day.

A good weekly pattern is one short processing session after each lecture, then separate review sessions for testing yourself with the questions you wrote. One option is a Quick start session of 15 minutes for processing a single lecture and a standard 25-minute session for a mixed review of several. If you have an exam date, a countdown helps you see how many review rounds still fit before it.

Keep your notes and your focus sessions close together. Open the notes for one subject, start the timer and work only from that page until the session ends. Over a term, the completed sessions on each task show you which courses you have kept up with and which ones are quietly falling behind.

A worked example

Selin is a first-year economics student. She types fast and used to capture almost every sentence of her microeconomics lectures, ending each class with four pages of notes. Before the midterm she realised that she could recite many of the lecturer's sentences but could not explain why a price ceiling causes a shortage.

She changes two things. In lectures, she switches to the Cornell layout in a notebook, writes shorter notes in her own words and draws a small diagram whenever a graph is shown. On the evening of each lecture, she does one 25-minute session to process her notes: fixing gaps, writing five to eight questions in the cue column and a three-sentence summary at the bottom. Each processing session is a task in her planner with a target of one session.

Twice a week she does a review session, covering the right-hand column and answering the cue questions aloud. Her notes are now about half as long as before, but she uses them far more. Before the final exam she does not need to reread the whole term. She works through her cue questions, spends extra sessions on the ones she keeps missing, and walks into the exam able to explain the diagrams rather than only recognise them.