AI Fluency: Self-Regulated Learning with LLMs: Coursebook
Description
Large language models are becoming everyday tools. Yet using an LLM merely as an advanced search engine or a convenient ghostwriting tool is not enough. The more important challenge is learning how to think with AI without surrendering judgment to it.
This Coursebook presents AI Fluency as a form of self-regulated learning. The aim is not to memorize prompt tricks. Instead, learners repeatedly examine what the AI is doing, what assumptions they themselves have left unstated, how confidently they should treat an answer, and when they need to change the way they frame the AI.
Across three intensive sessions, learners move from understanding how LLMs generate plausible language, to acquiring reliable knowledge through dialogue, and finally to using AI in complex problem solving. The central goal is to develop the metacognitive ability to monitor, evaluate, and regulate both the AI's output and one's own thinking.
License updated to CC BY 4.0 on September 11, 2026 (previously CC BY-SA 4.0). The instructional content and version number (1.0) remain unchanged.
Official book page: AI Fluency: Self-Regulated Learning with LLMs
Files
AI_Fluency_Coursebook_v1.0.pdf
Files
(50.2 MB)
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