ArticleCBE life sciences education2022
Learning Introductory Biology: Students' Concept-Building Approaches Predict Transfer on Biology Exams.
Article in CBE life sciences education, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- A Special Issue Introduction: Educational Applications of Cognitive Psychology.Behavioral sciences (Basel, Switzerland) · 2026Article
- Vividness of visual imagery is associated with perceived clarity of recall but not with accuracy during exams.Frontiers in psychology · 2026Article
- Evidence for rule versus exemplar learning strategies as stable individual differences independent from working memory.Memory & cognition · 2026Article
- Individual Differences in Student Learning: A Comparison Between the Student Approaches to Learning and Concept-Building Frameworks.Behavioral sciences (Basel, Switzerland) · 2025Article
- Student Perceptions of a Framework for Facilitating Transfer from Lessons to Exams, and the Relevance of This Framework to Published Lessons.Journal of microbiology & biology education · 2023Article
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Authors and funding
5 authors.
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Abstract
Previous studies have found that students' concept-building approaches, identified a priori with a cognitive psychology laboratory task, are associated with student exam performances in chemistry classes. Abstraction learners (those who extract the principles underlying related examples) performed better than exemplar learners (those who focus on memorizing the training exemplars and responses) on transfer exam questions but not retention questions, after accounting for general ability. We extended these findings to introductory biology courses in which active-learning techniques were used to try to foster deep conceptual learning. Exams were constructed to contain both transfer and retention questions. Abstraction learners demonstrated better performance than exemplar learners on the transfer questions but not on the retention questions. These results were not moderated by indices of crystallized or fluid intelligence. Our central interpretation is that students identified as abstraction learners appear to construct a deep understanding of the concepts (presumably based on abstract underpinnings), thereby enabling them to apply and generalize the concepts to scenarios and instantiations not seen during instruction (transfer questions). By contrast, other students appear to base their representations on memorized instructed examples, leading to good performance on retention questions but not transfer questions.
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