Toru Ishida · Coursebook · Version 1.0 · 2026
AI Fluency is an open coursebook for university students learning how to think and learn with Large Language Models. It presents AI Fluency as a form of self-regulated learning, rather than as a collection of prompt techniques.
The central aim is to develop the metacognitive ability to monitor, evaluate, and regulate both AI output and one’s own thinking. Learners progress from understanding how LLMs behave, to acquiring knowledge through dialogue, and finally to using AI in complex problem solving.
Course Structure
| Session | Stage | Focus | Metacognitive Capabilities |
|---|---|---|---|
| 1. Understanding LLMs | UNDERSTAND | How LLMs generate responses and how users frame AI | Epistemic Monitoring · Mental Reframing |
| 2. Querying LLMs for Knowledge | QUERY | How to regulate inquiry and critically examine AI-generated information | Inquiry Regulation · Critical Evaluation |
| 3. Solving Problems | SOLVE | How to maintain overall consistency and revise judgments as conditions change | Systemic Oversight · Adaptive Judgment |
Each session is 180 minutes and consists of two 90-minute phases. Each phase follows the same cycle:
Lecture (30 min) → Exercise (30 min) → Q&A and Reflection (30 min)
The lectures pair EXPERIENCE with MECHANISM: learners first encounter a characteristic of LLM behavior and then examine the mechanism or concept behind it. Exercises immediately apply the ideas through direct interaction with an LLM.
Materials
The complete package includes:
- Coursebook
- Hands-on Lecture and Exercise Materials
- Instructor Notes
- Six Editable Slide Decks
The complete materials are available on Zenodo.
DOI: 10.5281/zenodo.21964505
Publication
Author: Toru Ishida
Version: 1.0
First release: August 17, 2026
License: Creative Commons Attribution-ShareAlike 4.0 International (CC BY-SA 4.0)
The materials may be used, translated, adapted, and republished with attribution under the same CC BY-SA 4.0 license.
Suggested citation:
Ishida, T. (2026). AI Fluency: Self-Regulated Learning with LLMs: Coursebook (Version 1.0).
Toru Ishida 