Making Good Learning Decisions with Generative AI

While this course is intended for a student audience, we request that a staff member completes the request form. These sessions will be run for whole cohorts of students from colleges or departments at a time.

This session explores how students can approach using Generative AI in ways that avoid the risks of bypassing the important cognitive work of learning. Using the ICAP (Interactive, Constructive, Active, Passive) learning framework of cognitive engagement and the AI Competency Centre’s AI Personas, the session provides practical strategies for evaluating AI use across various academic tasks. Students will learn to distinguish between ways of using AI features to maintain productive learning friction and those that shortcut the intellectual heavy lifting necessary for genuine skill development.

Key points covered

• How can students assess whether their AI use supports or bypasses necessary learning?
• What does the ICAP framework reveal about different levels of cognitive engagement with AI?
• How can students "level up" from passive AI consumption to constructive and interactive learning?
• Which features of ChatGPT Edu and Google’s NotebookLM best support active learning?
• What are the five AI Personas and how can they help students understand how to approach AI?
• What do students need to know to evaluate the source of AI-generated information?
• Which learning tasks benefit from AI support versus unassisted effort?

To book this session for your student cohort, please fill out training request form (Staff SSO required) and specify that this course will be for a student audience. You can arrange for this session to take place at a time and date that suits you.