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Model based learning as a key research area for science education

2000/09/01 by John J. Clement · 379 citations
Decision Sciences · Social Sciences · Computer Science · Psychology · #Complex Systems and Decision Making #Science Education and Pedagogy #AI-based Problem Solving and Planning #Conceptual change #Cognition #Learning sciences #Learning theory #Concept learning #Natural (archaeology) #Cognitive science #Mathematics education #Computer science #Key (lock) #Science education #Psychology #Experiential learning

paper · doi:10.1080/095006900416901

published in International Journal of Science Education 22(9), 1041-1053 (Taylor & Francis)

openalex publication_date 2000/09/01 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/29

Abstract

A framework is presented for thinking about cognitive factors involved in model construction in the classroom that can help us organize the research problems in this area and the articles in this issue. The framework connects concepts such as: expert consensus model, target model, intermediate models, preconceptions, learning processes, and natural reasoning skills. By connecting and elaborating on these major areas, the articles in this issue have succeeded in moving us another step toward having a theory of conceptual change that can provide guidance to teachers in the form of instructional principles. Taken together, the articles remind us that individual cognition, while not the only factor in learning, is a central determining feature of learning. However, we must work to further develop the present partial theory of conceptual change to fill in the missing cognitive core of the present shell.

Citations

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