Predicting Learning and Knowledge Transfer in Two Early Mathematical Equivalence Interventions

Proceedings of the Annual Meeting of the Cognitive Science Society(2021)

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摘要
Author(s): Johannes, Kristen; McNeil, Nicole M; Kao, Yvonne; Davenport, Jodi | Abstract: Many students fail to develop adequate understanding of mathematical equivalence in early grades, which impacts later algebra learning. Work from McNeil and colleagues proposes that this failure is partly due to the format of traditional instruction and practice with highly similar problems, which encourages students to develop ineffective representations of problem types (McNeil, 2014, McNeil a Alibali, 2005). In the current study, we explore students’ learning trajectories in two matched equivalence interventions. We show that, relative to an active control, the principle-based treatment intervention gives rise to a greater number of successful learners, a designation that, in turn, leads to improved performance on distal transfer assessments. We further demonstrate a predictive relationship between students’ engagement with the intervention, via workbook completion, and likelihood of becoming a successful learner. Our findings have implications for early detection of learning and subsequent scaffolding for low-performing students.
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关键词
knowledge transfer,learning
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