Notetaking & Notemaking in This Class

1. Notetaking vs. notemaking: a distinction that matters

These two words are often used interchangeably. In this class they mean different things and we will be precise about which is which.

Notetaking is reception-focused. You hear or read something. You capture some of it on the page. The act is fundamentally about getting the information from out there into your notebook. Transcribing a lecture, copying a passage, screenshotting a slide, summarizing a video. These are all notetaking. They are not bad on their own; they are simply the surface activity.

Notemaking is generation-focused. You take what you heard or read and you DO something with it. You rephrase it in your own words. You connect it to something you already know. You ask a question about it. You identify what you don't yet understand. You draw a diagram. You write a sentence that argues with the source. The act is fundamentally about getting your brain to work on the information, not just about recording it.

Notemaking is where understanding happens. Notetaking, by itself, is not. AI makes the distinction matter more, because AI can do enormous amounts of notetaking instantly while being completely incapable of doing notemaking for you. Notemaking is, by definition, your brain wrestling with material until it understands. No external tool can do that work, just as no external tool can do your push-ups for you.

2. Why this matters: the cognitive science briefly

Three findings from learning research, simplified:

The generation effect

Material you generate yourself is remembered better than material presented to you. First formalized by Slamecka & Graf (1978), replicated hundreds of times since. If you read "the capital of France is Paris," your memory of that fact is weaker than if you saw "the capital of France is _____" and had to fill it in yourself. The struggle to produce is the encoding. Without the struggle, the encoding is shallow.

Desirable difficulties

The psychologist Robert Bjork uses this phrase for activities that feel harder in the moment but produce better long-term learning. Spacing your studying out over days feels worse than cramming and works better. Quizzing yourself feels worse than re-reading and works better. Generating a summary in your own words feels worse than copying the source's words and works better. The pattern is robust: if learning feels easy, you are probably not learning much.

Encoding through restatement

Mueller and Oppenheimer's 2014 study, The Pen is Mightier than the Keyboard, compared students who handwrote notes vs. typed them. Handwriting won, not because pens are magical, but because handwriting is slow. Students who typed could transcribe a lecture nearly verbatim and did so. Students who handwrote had to choose, what's worth writing down? what can I say in fewer words? And the choosing was the learning. The transcription-typers had more complete notes and learned less.

3. What AI changes

Every previous technology threatened note work in some way, and notemaking survived all of them. Printing presses gave you books you could refer back to. Photocopiers let you save articles you never had to type. Word processors let you cut and paste. Each one made notetaking easier and removed some of the friction that produced learning. But each one still required you to read the material at some point if you wanted to understand it.

AI is the first technology that genuinely lets you skip reading AND skip synthesis AND skip writing, while still producing something that looks like notes. You can paste a chapter into a chatbot and get a clean bullet-point summary in seconds. You can ask for a study guide for an exam you haven't started preparing for. Every one of those outputs LOOKS like notes. None of them produced the cognitive work that notemaking is for. The student who relies on this pattern has a beautifully organized notebook and a brain that did not learn the material.

The honest question every student has to face: are these notes a record of what my brain did with this material, or are they a record of what an AI did with this material that I then filed?

4. What counts as legitimate AI use in note work

AI is not banned from your notes. Hiding AI use would be a violation of the AI Documentation Protocol; refusing all AI use would be artificial and unhelpful. The question is not WHETHER to use AI but HOW.

Legitimate AI use in note work

• Clarification: "I read this passage three times and still don't understand the mechanism for atmospheric escape. Can you explain it three different ways, with examples?"
• Translation: "I can think about this concept faster in Tamil, translate this paragraph so I can read it in my first language, then I'll write my notes in English."
• Definition-checking: "I think I understood 'capacity factor' as the percentage of time a power plant is producing electricity. Is that right? What's the more precise definition?"
• Argument-testing: "Here's the argument I'm making in my notes. What's the strongest objection a skeptic would raise? I want to address it in my next draft."
• Comprehension-checking: "I summarized this chapter in three sentences in my own words. Read my summary against the original: what did I miss or get wrong?"

AI replacing your note work, not legitimate

• Summarization: "Summarize this chapter for me so I can put it in my notes." (You skipped the reading AND the synthesis.)
• Study guide generation: "Make me a study guide for the quiz next class." (The study guide is the artifact you should have produced.)
• Flashcards from unread readings: "Make me 20 Anki cards on plate tectonics." (Cards you didn't write are cards you don't have a relationship with.)
• Pre-reading outlines: "Before I read this chapter, give me an outline of what's in it." (You've anchored your thinking before you encountered the material.)
• Direct transcription of AI output into a notebook: This is filing, not learning.

5. The capture format: Power Notes

The five techniques below are notemaking: generation. But generation needs something to generate FROM, and messy capture makes every technique harder. This class uses one capture format: Power Notes (Sparks, 1982).

The idea is simple. Ideas in any source have different "powers":

• Power 1: a main idea. A video or reading usually has 2–4 of them.
• Power 2: a definition or explanation of a Power 1.
• Power 3: a detail, mechanism, or relationship under a Power 2.
• Power 4: an example, number, or application under a Power 3.

You write them as an indented numbered outline: no Roman numerals, no sentences required. Deciding what power an idea deserves IS thinking: two students can watch the same video and defend different Power 1s, and that argument is worth having.

Where the powers meet the five techniques: your atomic notes (Technique 1) collapse Powers 2–4 into your own words; question-first notes (Technique 3) turn each Power 1 into a question; the honest two-column's left side (Technique 5) IS your Power Notes. Capture in powers; generate from them.

On some pages you'll see Power 1 seeds: starter main ideas for that video or reading. Early in the year we give you all of them; by Unit 2 only some; from Unit 4 you find your own. That's not us getting lazy. That's the point.

EAL note: Power Notes is the most language-light format in this class, numbers and short phrases, no full sentences required. Capture in whichever language thinks fastest; generate in English.

6. The other pencil move: Sketch-to-Stretch

Power Notes captures what a source says. Sketch-to-Stretch shows what YOU currently think: before anyone hands you the right way to draw it. Three steps, about 12 minutes:

1. Sketch (4–5 min, alone): draw your understanding of the concept. Pictures and icons only: no words. Stick figures win. This is thinking, not art.
2. Compare (3–4 min, pairs or threes): show your sketches to each other. Where do they agree? What did someone else draw that you missed?
3. Distill (3 min, alone): write the big ideas and important details you now think matter. (Notice: that list IS Power Notes, Power 1s and 2s. The two tools chain.)

Why no words? Because words let you borrow understanding. You can write "the greenhouse effect traps heat" without knowing what you actually picture. A sketch can't bluff. Whatever you draw is what you currently think, and seeing it is the first step to improving it.

One distinction to keep straight: a SKETCH is your picture, no rules, no conventions, private thinking made visible. A DIAGRAM is our shared language, arrows with verbs, loop signs, labels, built so anyone in the room can read it. Same pencil, different games. This class uses both, on purpose, and you'll always know which one is being asked for.

You'll meet Sketch-to-Stretch at a few specific moments this year, usually right before a concept where everyone arrives with a picture already in their head (Earth's systems, why plates move, how the planet stays warm). Your before-sketches stay in your Field Notebook, dated. In Unit 4 you'll draw the same concept twice, weeks apart, and the distance between those two sketches is your learning, visible.

EAL note: step 1 needs zero English. Step 2 gives you a drawing to point at while you talk, which is the easiest speaking scaffold in this class. Use it.

7. Five techniques the course recommends

Pick at least two and use them consistently across the year. You will be asked to share your notes in pair-talk and peer-review sessions, so they need to be useful to you (and occasionally to one other person).

Technique 1: In-your-own-words atomic notes

After reading a passage or watching a video, close the source. Write 2–4 sentences in your own words explaining what you just took in. If you can't, you didn't understand it; go back. Atomic means each note is about ONE idea, not a wall of text. The Zettelkasten tradition (Sönke Ahrens, How to Take Smart Notes) is the contemporary book worth reading on this approach.

Technique 2: Concept maps + sketchnotes

Spatial, visual notes that link concepts to each other with arrows and labels. The act of drawing them is intensely generative. You have to decide what connects to what, what's central, what's peripheral. AI cannot easily produce a good concept map for you because the structure of YOUR understanding is what the map encodes. Update them as your understanding deepens.

Technique 3: Question-first notes

Instead of writing "plate tectonics is the theory that…" write "why do most earthquakes happen along plate boundaries?" Then write the answer. Question-first notes encode information as answers to retrieval cues, which is how memory works. The Cornell note format (cue column on the left, notes on the right, summary at the bottom) is a structured version of this if you want a template.

Technique 4: Retrieval practice from YOUR notes

Once a week, take 10 minutes and try to recall what you wrote in your notes WITHOUT looking. Then check what you got right and wrong. This is the spacing effect + the testing effect combined (Roediger & Karpicke's work). The critical word is YOUR notes. AI-generated flashcards do not produce the same effect because you have no relationship to the prompts.

Technique 5: The honest two-column

Down the left side: "what the source said (in my own words)." Down the right side: "what I think about it / what I'd push back on / what this connects to." This single move converts passive reception into active dialogue. You can't fill the right column with AI's help because the right column is BY DESIGN your own thinking. Particularly useful for OPVL work in U0 and for the Position Paper in U5.

8. Connection to the AI Documentation Protocol

The AI Documentation Protocol asks you to disclose your AI use on every deliverable. Notes are no exception, even though your notebook is checked rather than collected and is never graded. The reason: the protocol is a habit. If you disclose AI use on assignments but not on notes, you are training yourself to think of disclosure as a performance for the teacher rather than a discipline for your own honesty.

A useful practice: at the top of each week's notes, write 2–3 sentences about how you used AI in your note work that week.

9. If you're an EAL learner

If English is your second, third, or fifth language, the friction of generative notemaking can be unfair. Translating a dense IPCC passage in English while also trying to extract meaning is genuinely harder for you than for a peer who reads English natively. Use AI more for the translation, comprehension, and clarification steps. THEN do the generative notemaking in whichever language gets your brain working: Tamil, Hindi, French, Korean, Japanese, English, whichever. Translate to English at the end if the deliverable requires English.

The principle is unchanged: AI does the language-bridge work; your brain does the synthesis work.

More EAL support → see the EAL Support hub for the full Teacher Strategy Guide, the 5-language Master Vocabulary Reference, and per-unit pre-teach vocabulary handouts.

10. What we do not ask

We do not ask you to refuse all AI assistance in your notes. We do not ask you to ignore the time-saving value of AI translation, AI clarification, AI definition-checking. We do not ask you to handwrite everything (though handwriting helps, per the Mueller study). We do not ask you to produce notes that follow any particular format: the five techniques below are a menu, and what you write under a header line is yours.

Two things are fixed, and they are both about the container rather than the thinking. Every block gets one entry in the Class Notebook, and every entry opens with the header line the site gives you. That is what makes September findable in April, even for the blocks whose work happened on paper. See Your Two Notebooks.

What we ask is one thing: when you close your notebook at the end of a class block, can you answer the question "what did I, the person, think about today?" If the answer is yes, you are notemaking. If the answer is "AI told me X," you have collected information without becoming smarter.

11. One last thing: about elaborate note systems

There are popular frameworks online: sophisticated organizational systems with tagging schemes, hierarchical folders, linked-note databases, custom apps. They are real and they work for the people they were designed for: working professionals managing years of project material, researchers across multi-year studies. Those people have a different problem than you do. Their challenge is finding a useful note from two years ago in a sea of thousands. Your challenge is understanding the chapter you read last night.

Resist the temptation to build a complicated system before you have the underlying skill. The system is downstream of the skill, not the other way around. Develop the generative habit first. Add structure only when the lack of structure is actively in your way, which for most HS students most of the time it isn't.

Your Class Notebook is not one of those systems, and it is worth being clear about the difference. It is one document with a consistent first line per entry. There is no tagging scheme, no folder hierarchy, and nothing to maintain: Docs builds the index off your headers. That is roughly the smallest amount of structure that still lets you find things, which is exactly what this section is arguing for.

Power Notes (Sparks, 1982) and Sketch-to-Stretch are adapted from Tools for Promoting Active, In-depth Learning (The Thoughtful Education Press, 2001).