How to Adapt AVID Focused Notes for STEM vs. Humanities Classes (with AI Integration Workflows)

Why Subject Context Matters for AVID Focused Notes

The five-phase AVID Focused Notes framework — Taking Notes, Processing, Connecting Thinking, Summarizing, and Applying Learning — is deliberately subject-agnostic. That is its strength as a scaffold. But it is also its most common point of failure when students treat it as a rigid checklist rather than a flexible system that adapts to the material in front of them.

A calculus lecture and a history seminar both produce notes, but the cognitive load is distributed differently. In STEM, the bottleneck is often Phase 1 (capturing procedural steps accurately) and Phase 5 (testing whether you can reproduce the process independently). In humanities, the bottleneck shifts to Phase 3 (connecting ideas across texts) and Phase 4 (distilling multiple perspectives into a coherent summary). A student who applies the same note-taking rhythm to both will end up with notes that serve neither subject well.

This guide breaks down exactly how each of the five phases changes between STEM and humanities coursework. It also integrates the Show AI Your Thinking First protocol — a three-step cycle documented in AVID Open Access's Tech Talk for Teachers podcast series (May–June 2026) — and maps specific AI tools to each phase based on subject context. If you need a refresher on the basic five-phase method before diving into the adaptations, start with the complete 5-phase method guide.

Phase-by-Phase Comparison: STEM vs. Humanities

The table below maps each of the five phases side by side. The differences are not cosmetic — they reflect fundamentally different types of information and different cognitive goals.

The key takeaway: STEM notes are procedural and cumulative — each phase builds on the previous one in a linear way. Humanities notes are interpretive and recursive — you often revisit Phase 3 after Phase 4 because a new connection changes your summary.

The 'Show AI Your Thinking First' Protocol (Phase 2 Deep Dive)

The most important development in AVID Focused Notes for 2026 is the formal documentation of the Show AI Your Thinking First protocol, introduced in AVID Open Access podcast #491 (May 20, 2026). The protocol is a three-step cycle that keeps the student — not the AI — in control of the cognitive work.

1. Student thinks first. You annotate your notes manually — highlight, chunk, write margin questions, circle points of confusion. The AI sees nothing until you have done the thinking.
2. Student prompts the AI. You upload your annotated notes (using ChatGPT, Google Gemini, or Microsoft Copilot — tools that can read text from images) and ask a specific question: "Here are my annotated notes. What patterns or connections might I be missing?"
3. Student makes a decision. You evaluate the AI's output, accept what is useful, reject what is not, and revise your notes accordingly. The AI is a thought partner, not an answer key.

The AVID Open Access article on Phase 2 processing states the principle clearly: "AI should be used as a thought partner. It prompts thinking opportunities for students and does not replace critical thinking." The protocol is summarized as an "AI sandwich": Student → AI → Student.

How the Protocol Works Differently for STEM vs. Humanities

The three-step cycle is the same, but the prompts and the evaluation criteria shift by subject.

For a math proof or physics derivation:

• Step 1 (Student thinks): You annotate each step of the derivation. You circle the step where you got stuck, write a question mark next to the variable substitution that confused you, and highlight the final result.
• Step 2 (AI prompts): You upload the annotated derivation and prompt: "I got stuck at step 4. Here is my work up to that point. What property or rule am I missing? Do not solve it for me — just tell me which concept to review."
• Step 3 (Student decides): You check whether the AI's hint matches the concept you suspected was missing. If it does, you go back to your textbook or notes to review that concept before attempting the derivation again.

For a literary analysis or historical argument:

• Step 1 (Student thinks): You annotate a primary source passage. You underline the author's central claim, bracket the supporting evidence, and write a margin note questioning whether the evidence actually supports the claim.
• Step 2 (AI prompts): You upload the annotated passage and prompt: "Here is my analysis of this passage. I think the author's evidence for claim X is weak. Do you see any counterarguments I might have missed?"
• Step 3 (Student decides): You evaluate whether the AI's suggested counterarguments are valid based on the text. You add the strongest ones to your notes, but you do not accept them uncritically — you verify each one against the source.

AI Tool Guidance by Subject and Phase

Not every AI tool fits every phase. The table below matches tools to phases based on what each tool does best, with subject-specific reasoning. For a broader overview of digital tools for AVID Focused Notes, see the digital tools guide.

Side-by-Side Walkthrough: The Industrial Revolution in Calculus vs. History

To make the subject-specific adaptations concrete, here is how the same lecture topic — "The Industrial Revolution" — would be rendered as AVID Focused Notes in a calculus class versus a history class.

Calculus Version (Mathematical Modeling of Growth)

• Phase 1: Notes capture the exponential growth model P(t) = P₀e^(rt), the derivation of the growth rate from historical production data, and the worked example showing how to calculate the doubling time of coal production from 1760–1800.
• Phase 2: Processing involves chunking the derivation into steps — identify the initial condition, the growth rate, the time interval — and circling the step where the natural log is applied to solve for t.
• Phase 3: Connecting thinking links the exponential growth model to the concept of compound interest from a previous unit, noting that both follow the same mathematical structure even though the contexts are different.
• Phase 4: Summarizing condenses the derivation into a three-step algorithm: (1) identify P₀ and r, (2) set up the equation, (3) solve for the unknown using natural logs.
• Phase 5: Application testing involves working a new problem — calculate the population growth of a different industrial city given different initial data — without referring to the notes.

History Version (Social and Economic Analysis)

• Phase 1: Notes capture primary source quotations from factory workers, parliamentary reports on child labor, and statistical tables showing urbanization rates. The margin column records initial reactions: "Does this source have a bias?" and "How does this compare to the textbook's account?"
• Phase 2: Processing involves highlighting claims ("The factory system destroyed traditional family structures") in one color and evidence (specific testimony from workers) in another. Question marks mark passages where the evidence seems thin or contradictory.
• Phase 3: Connecting thinking links the Industrial Revolution to the earlier Enlightenment emphasis on progress and to later colonial exploitation of raw materials. A margin note asks: "Is the idea of 'progress' different for factory owners vs. workers?"
• Phase 4: Summarizing synthesizes the sources into a paragraph that answers the essential question: "Was the Industrial Revolution a net positive or negative for British society?" The summary acknowledges both perspectives rather than settling on one.
• Phase 5: Application involves writing a short essay that argues a position using evidence from the notes, or creating a timeline website that maps social reforms against industrial growth.

Common Pitfalls per Subject and How to Avoid Them

Even students who understand the five-phase process make subject-specific mistakes. Here are the most frequent ones and how to correct them.

STEM Pitfalls

• Skipping Phase 3 (Connecting Thinking) because it feels abstract. STEM students often jump from processing directly to summarizing, missing the opportunity to link the new procedure to prior knowledge. Fix: Force a connection by asking "What previous concept does this remind me of?" before writing the summary.
• Over-relying on AI for equation verification. Using ChatGPT to check whether a derivation is correct can be useful, but it bypasses the cognitive work of finding your own error. Fix: Use the "Confusion Detector" strategy from the AVID Open Access Phase 2 toolkit — ask the AI to identify which step is inconsistent, not to solve the problem.
• Treating Phase 1 as transcription. Copying every step the teacher writes without understanding the logic behind each step produces notes that are useless for Phase 5 application. Fix: Use fill-in-the-blank templates that force you to fill in the critical steps yourself, as demonstrated in the Absolute Algebra math classroom walkthrough.

Humanities Pitfalls

• Treating Phase 1 as transcription without analysis. Copying quotations without recording your initial reaction or question means you have to re-read the entire source during Phase 3. Fix: Reserve a margin column for reactions and questions during the lecture or reading.
• Using AI to generate summaries instead of thinking first. Prompting ChatGPT to summarize a primary source before you have annotated it yourself defeats the purpose of Phase 2 processing. Fix: Always complete your own annotation before opening any AI tool. The "Show AI Your Thinking First" protocol is not optional — it is the core of the method.
• Skipping Phase 5 because it feels like extra work. Humanities students often stop at the summary, missing the application step that solidifies understanding. Fix: Treat Phase 5 as a low-stakes output — a one-paragraph argument, a discussion post, or a short podcast recording. The AVID Focused Notes and the forgetting curve article explains why this phase is critical for long-term retention.

Summary Table: Best Tools and Prompts per Phase per Subject

Bookmark this table for quick reference. For a broader overview of apps that support each phase, see the phase-by-phase app toolkit (2026).