AI in teaching: cognitive and regulatory impact
Tackles AI as an environment that changes students' cognitive processes. The question isn't 'what can I do with AI', but 'what happens to learning when AI is always available'.
Modules
7 modules for a total of 20-30 h.
- Modulo 014 h
Regulatory framework for teachers
DM 166/2025 in practice. AI Act (arts. 4 and 26). Evaluating AI-generated work. Student data and GDPR.
- Modulo 024 h
AI and cognitive processes
Effects on attention, motivation, autonomy. Cognitive offloading: when it helps, when it hinders.
- Modulo 034 h
Learning theories and AI
Cognitive Load Theory (Sweller), 'Desirable difficulties' (Bjork). Designing activities that preserve them.
- Modulo 044 h
Distributed intelligence and the cognitive environment
Norman, Hutchins, Lévy, de Kerckhove. Implications for learning environments.
- Modulo 054 h
AI and the school-to-work transition
Redesigned professional profiles. Priority skills: critical thinking, collaboration, ethical judgement.
- Modulo 065 h
Copyright in teaching production — extended
Materials produced with AI, OER, evaluating students' work. Up-to-date legal framework.
- Modulo 075 h
Designing with AI — extended
Building teaching materials. Didactic prompt design. Review and sharing of produced work.
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