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Fengfeng Ke; Chih-Pu Dai; Luke West; Yanjun Pan; Jiabei Xu – Journal of Educational Computing Research, 2024
Students frequently struggled with the mathematizing process -- forging connections between implicit and explicit mathematical thinking -- when solving a context-rich applied problem. The current research investigated how students interact with and leverage purposively designed "mathematizing" supports when solving applied math problems…
Descriptors: Game Based Learning, Educational Environment, Problem Solving, Mathematics Education
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Fengfeng Ke; Luke West; Chih-Pu Dai; Yanjun Pan; Jiabei Xu – Technology, Knowledge and Learning, 2025
In this qualitative inquiry, we explored teachers' experiences and sensemaking processes with digital mathematical task design (or tool-based math problem posing) in their natural form and context. A purposive sample of math teachers from three schools attended teacher workshops where they designed applied math problems using an architecture…
Descriptors: Teaching Experience, Mathematics Instruction, Educational Technology, Mathematics Teachers
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Yanjun Pan; Elizabeth L. Adams; Leanne R. Ketterlin-Geller; Eric C. Larson; Corey Clark – Educational Technology Research and Development, 2024
Computational thinking is acknowledged as an essential competency for everyone to learn. However, teachers find it challenging to implement the existing learning approaches in K-12 settings because the existing approaches often focus on teaching computing concepts and skills (i.e., programming skills) rather than on helping students develop their…
Descriptors: Middle School Students, Game Based Learning, Mathematics Education, Computation