This phase consolidates learning, surfaces remaining misconceptions, and explicitly reflects on AI integration — establishing the expectation that AI use requires transparency, critical evaluation, and documented human judgment.
Instructor administers a 3-question quiz via Mentimeter or Poll Everywhere. Results are displayed immediately.
Students compare answers in pairs and correct each other’s errors before the instructor clarifies.
Social Constructivism: Peer checking surfaces discrepancies; students learn by explaining their reasoning to a partner within the ZPD.
Instructor asks the class:
Students share verbally or post to the Padlet reflection wall.
AI Integration: Students explicitly name their human override decisions — building metacognitive AI literacy vocabulary.
Social Constructivism: Collaborative metacognition — students verbally articulate their own cognitive state and learn from peers' AI encounters.
Instructor connects current learning to next week's topic: Cognitive Learning Theories (memory and information processing).
Instructor introduces the upcoming major assessment (Learning Theory Portfolio) and emphasises:
"Your portfolio will include AI use documentation — you'll need to show me not just WHAT you learned, but HOW you made decisions with and against AI."
Frames future learning as a continued collaborative process — peers will provide portfolio feedback in Week 2.
These mirror the questions asked at the end of class. Check your understanding.
Answer all three questions. Your instructor may review these to adjust next week's session.
"Today you engaged with three key theories. And you also learned something about AI. You learned that it's a powerful tool — but you are the expert. Your judgment is essential. In your portfolio, you'll need to document this judgment. Show me where you agreed with AI, where you challenged it, and where you overturned it — and why. That's what we mean by becoming an AI-literate psychologist."