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Performance Expectancies Moderate the Effectiveness of More or Less Generative Activities Over Time
Marc-André Reinhard1, Sophia Christin Weissgerber1, Kristin Wenzel1
1Department of Psychology, University of Kassel, Kassel, Germany.
Generative learning activities like problem-solving benefit students with higher performance expectancies (PEs) immediately. However, long-term learning shows that problem-solving is more effective for students with lower PEs.
Area of Science:
- Cognitive Psychology
- Educational Psychology
- Learning Sciences
Background:
- Learning effectiveness can depend on individual differences, such as performance expectancies (PEs).
- Generative learning activities, like problem-solving, are often contrasted with less generative activities, such as worked-examples.
- The long-term benefits of generative learning may be moderated by pre-existing student beliefs about their abilities.
Purpose of the Study:
- To investigate whether the long-term learning benefits of generative activities depend on individual differences in performance expectancies (PEs).
- To compare the effectiveness of greater generative activity (problem-solving) versus less generative activity (worked-examples) on immediate and delayed student performance.
- To examine how different learning activities influence changes in students' performance expectancies and metacognitive accuracy.
Main Methods:
- Eighth-grade students (advanced track) were assigned to either a problem-solving or a worked-examples condition.
- Immediate and delayed (3-month) performance tests were administered on linear functions.
- Individual differences in performance expectancies (PEs) were measured prior to the learning intervention.
Main Results:
- A three-way interaction between PEs, generative activity, and time was observed.
- Initially, problem-solving benefited students with higher PEs, while no difference was found for lower PEs.
- In the delayed test, problem-solving outperformed worked-examples for students with lower PEs, but not for higher PEs, whose performance declined over time.
Conclusions:
- The effectiveness of generative learning activities is not uniform and depends on the interplay between the activity type, student expectancies, and time.
- Problem-solving may lead to more accurate self-assessments and reduced overconfidence, particularly for students with initially lower performance expectancies.
- Learners with higher PEs may experience an initial advantage with problem-solving, but this benefit may not be sustained long-term compared to worked-examples.
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