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The effects of generating examples on comprehension and metacomprehension
Tricia A Guerrero1, Thomas D Griffin1, Jennifer Wiley1
1Department of Psychology, University of Illinois, Chicago.
Journal of Experimental Psychology. Applied
|September 5, 2023
Summary
Generating examples can aid learning, but evaluating them is key. Evaluating generated examples significantly boosted comprehension and application skills in science students.
Area of Science:
- Educational Psychology
- Cognitive Science
- Science Education
Background:
- Learners frequently use examples to enhance understanding, with prior research indicating benefits for both viewing and generating examples during declarative learning.
- However, the efficacy of self-generated examples for improving comprehension of expository science texts remains less explored.
- This study investigates the impact of example generation on comprehension and comprehension monitoring in undergraduate science education.
Purpose of the Study:
- To determine if generating examples improves comprehension and comprehension monitoring in undergraduate science students.
- To compare the learning gains associated with different levels of engagement in example generation and evaluation.
Main Methods:
- A pre-post design was employed with undergraduate science students.
- Participants completed readings and practice tests, with some groups additionally generating examples and/or evaluating their quality with feedback.
- Comprehension and comprehension monitoring were assessed using application-based test questions.
Main Results:
- All students showed overall comprehension improvement, but those who generated examples without evaluation had minimal learning gains.
- Students who evaluated the quality of generated examples demonstrated the most significant learning gains, particularly on application-based assessments.
- While overconfidence decreased across conditions, no significant differences in comprehension monitoring were observed between groups.
Conclusions:
- The effectiveness of example generation for learning is contingent on the learner's engagement, with evaluation and feedback enhancing benefits.
- Relying solely on generating examples may not yield substantial learning improvements compared to activities involving critical evaluation.
- These findings challenge the assumption that example generation alone is universally beneficial for learning complex scientific concepts.
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