Making scientific concepts explicit through explanations: Simulations of a high-leverage practice in teacher education

Valeria M. Cabello (Lead / Corresponding author), Keith Topping

    Research output: Contribution to journalArticlepeer-review

    12 Citations (Scopus)
    313 Downloads (Pure)


    There is a current research interest into high-leverage teaching practices which are geared towards making concepts explicit to learners. Explanations are a common practice in science education for sharing and constructing meaning with students. However, current studies insufficiently articulate a framework for understanding pre-service teachers’ explanations; neither do they assess the practical criteria for development. This article documents various criteria for pre-service science teachers’ explanations as related to the cognitive science literature and their assessment in the context of an instrument designed for teacher education. A rubric was constructed which organized structural and supportive elements into three levels. A validation process is described, and its application in teacher education programs to detect possible patterns and changes in pre-service science teachers’ explanations. The results show the explanation strengths of pre-service teachers working with examples, graphs and images. However, difficulties were found in using and improving analogies, metaphors, and models, and also approaching mis-conceptions as a learning opportunity. Theoretical and practical issues are discussed from a cognitive perspective. We conclude that the signaling implications of using rubrics sensitive to progress-monitoring during teacher education for high-leverage teaching practices give opportunities to simulate and rehearse practices that are highly conducive to learning.
    Original languageEnglish
    Pages (from-to)35-48
    Number of pages13
    JournalInternational Journal of Cognitive Research in Science, Engineering and Education
    Issue number3
    Publication statusPublished - 23 Nov 2018


    • Explanation
    • Simulations
    • High-leverage practice
    • Science Education


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