{"id": "TTC-106", "slug": "ai-for-learning-and-studying", "title": "AI for learning and studying", "level": "beginner", "summary": "Use AI to elicit explanations, hints, practice, and feedback while requiring the learner to retrieve, solve, and explain the material independently.", "learning_outcome": "Design a study loop in which AI support decreases and the learner demonstrates understanding without AI assistance.", "explanation": "A helpful tutor adapts the next question without replacing the learner's work. Ask for a hint before a full solution, compare an explanation with course sources, and make the learner produce an answer from memory. Use worked examples followed by fading support: first inspect, then complete a partial case, then solve a new one. Ask the system to diagnose a specific error rather than assign a vague score. Protect student data and follow the institution's assessment rules. Learning is demonstrated by independent transfer, not by the quality of text generated during the session.", "worked_example": "Fictional case: Priya studies fractions. The tutor first asks what a denominator represents, then gives one visual hint, checks Priya's own calculation, and creates a different practice problem. Priya closes the chat and explains the method on paper; that independent explanation is the evidence of learning.", "exercise": "Select one safe concept and an authoritative study source. Build a four-stage session: prior-knowledge question, bounded hint, learner solution with targeted feedback, and a no-AI transfer question. Save only the minimum evidence needed to assess progress.", "success_criteria": ["The learner, not the assistant, performs the key retrieval, calculation, or explanation.", "Feedback points to a specific misconception and the source used to correct it.", "A new no-AI task demonstrates transfer rather than repetition of the generated answer."], "limitations": ["AI feedback may be incorrect, culturally narrow, or poorly matched to a learner's needs.", "This method does not replace teachers, accessibility support, safeguarding, or formal assessment rules."], "prerequisites": ["TTC-101", "TTC-102", "TTC-103"], "next_lessons": ["TTC-107", "TTC-110", "TTC-117"], "copyable_material": "# TTC-106 \u2014 AI for learning and studying\nObjective: Support learning without outsourcing the learner's thinking.\nProcedure: Ask prior knowledge, offer the smallest useful hint, request the learner's solution, give source-linked feedback, then remove support.\nRequired evidence: Use the learner's independent explanation and a new transfer task as evidence.\nBoundaries: Respect assessment rules and privacy; do not fabricate mastery from fluent AI-assisted work.\nCompletion test: The learner completes and explains a novel task without AI assistance.\nReview rule: Treat generated work as a draft until the named human reviewer accepts it.", "sources": [{"title": "Guidance for generative AI in education and research", "publisher": "UNESCO", "url": "https://www.unesco.org/en/articles/guidance-generative-ai-education-and-research"}, {"title": "Ethical guidelines for educators on the use of AI and data in teaching and learning", "publisher": "European Commission", "url": "https://education.ec.europa.eu/focus-topics/digital-education/actions/plan/ethical-guidelines-for-educators-on-using-artificial-intelligence"}], "version": "1.0.0", "reviewed_on": "2026-10-03", "review_status": "reviewed", "next_review_criteria": "Education guidance or evidence changes the recommended assisted-to-independent learning sequence.; A cited primary source is materially revised, replaced, or becomes unavailable.; Repeated learner results show that the exercise or success criteria are ambiguous.", "canonical_aliases": [], "canonical_url": "https://teachthecompany.com/school/ai-for-learning-and-studying/"}