

S2E18: Milou van Harsel on Worked Examples and Self-Regulated Learning
10 snips Jan 16, 2023
Milou van Harsel, an education policy advisor and expert in example-based learning, shares insights on self-regulated learning strategies. She discusses the balance of autonomy, competence, and relatedness in motivating students. Milou delves into effective example-based learning techniques and the cognitive load they impose on learners. She emphasizes the role of feedback in student engagement and the importance of aligning learning choices with motivation. Her research highlights the significance of training in developing students' metacognitive strategies for better learning outcomes.
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Example-First Principle
- For novice learners, use worked examples.
- Present an example before a problem, especially for procedural knowledge like math.
Simple-to-Complex Principle
- Increase task complexity gradually, from simple to complex.
- Provide worked examples for each level of complexity to guide learners.
Motivation and Learning
- Learners' motivation and self-efficacy influence their learning approach.
- Highly motivated learners might benefit equally from problem-first or example-first approaches.