Lesson
Assembling Knowledge: Active Learning in the Age of AI
Active Learning Strategies · Pedagogy
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How active learning prepares students to handle unfamiliar problems and make sound judgements.
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Summary, mindmap and highlights
Useful understanding requires learners to apply ideas, so memorising many digits of pi offers limited evidence. The same problem appears when a student reproduces notes in a familiar examination or learns to phrase a good prompt for an AI tool. Either strategy may produce a correct-looking response. Evidence of readiness comes from handling an unfamiliar problem, weighing evidence, and making a sound judgement.
Active learning gives students time to do that work in class. Replace nineteen minutes of talking and a one-minute activity with a brief frame and a substantial block for exploration. In the furniture exercise, teams receive separate pieces, clues, and instructions. They must coordinate, assemble the object, and reflect on what happened. The relationships become clearer because students have had to find and test them.
The news-headline exercise offers another simple format. Students first write five questions independently before using any device. An LLM produces five more. The class then compares the two sets: What assumptions do they contain? Which questions show curiosity? What has each set missed? Use the comparison to examine assumptions, curiosity, gaps, and question quality.
Prepare the activity carefully. Curate short videos, images, papers, passages, or project fragments. Credit the sources, state the objective, and use a short quiz when accountability is needed. Adapt examples to the learners, discipline, and local industry. Assessment should then ask students to analyse, explain, compare, verify, connect, and reflect. Bloom’s taxonomy or SOLO can help check the cognitive demand. As AI tools change, these actions keep the learner responsible for the thinking.
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Evidence of usable understanding comes from applying ideas in new situations.
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Keep the opening explanation short and give students enough class time to explore and reflect.
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Use assembly tasks when students need to discover relationships and coordinate incomplete information.
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Compare student and AI questions to surface assumptions, gaps, and differences in question quality.
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Give concise, credited preparation material, a clear objective, and a short accountability check where needed.
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Fit examples to the learners, discipline, and local industry.
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Assess whether students can explain, analyse, compare, verify, connect, and reflect.
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Additional resources
Explore this carefully selected material to deepen your understanding of the topic and connect it with your teaching practice.
Cornell University Center for Teaching Innovation
Getting Started with Active Learning Techniques
Choose from low-barrier active-learning techniques, with notes on purpose, setup, facilitation, and reflection.
Vanderbilt University Center for Teaching
Active Learning
Use this evidence-informed guide to select and sequence classroom activities for a clear learning purpose.
University of Illinois Chicago
Active Learning
Find individual, paired, and group techniques, plus guidance on inclusive facilitation.
UNESCO
Guidance for Generative AI in Education and Research
Read UNESCO’s guidance on human-centred, ethical, and educationally sound use of generative AI.
Proceedings of the National Academy of Sciences
Active Learning Increases Student Performance in Science, Engineering, and Mathematics
Review a large meta-analysis comparing active learning with traditional lecturing in undergraduate STEM courses.