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Chiphambo, Shakespear Maliketi; Feza, Nosisi Nellie – EURASIA Journal of Mathematics, Science and Technology Education, 2020
Research reveals that many mathematics teachers find it difficult to stimulate learners' interest in learning geometry. One major reason suggested is that geometric concepts are not well conceptualised and comprehended by both learners and teachers. The study explored learners' views on how polygon pieces and dictionary mediate learning of…
Descriptors: Geometry, Mathematics Instruction, Teaching Methods, Geometric Concepts
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Mistretta, Regina M. – Investigations in Mathematics Learning, 2020
The importance of practical learning environments for developing preservice teachers' (PSTs') dispositions and skills for teaching mathematics is underscored in a growing body of literature. Hence, teacher preparation programs often include methods courses embedded within K-12 schools. Utilized to a lesser extent; however, are campus-based…
Descriptors: Mathematics Instruction, Preservice Teacher Education, Preservice Teachers, Teaching Skills
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Brophy, Sean P.; Magana, Alejandra J.; Strachan, Alejandro – Advances in Engineering Education, 2013
We studied the use of online molecular dynamics simulations (MD) to enhance student abilities to understand the atomic processes governing plastic deformation in materials. The target population included a second-year undergraduate engineering course in the School of Materials Engineering at Purdue University. The objectives of the study were to…
Descriptors: Lecture Method, Undergraduate Study, Inquiry, Laboratories
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Lynch, Collin F., Ed.; Merceron, Agathe, Ed.; Desmarais, Michel, Ed.; Nkambou, Roger, Ed. – International Educational Data Mining Society, 2019
The 12th iteration of the International Conference on Educational Data Mining (EDM 2019) is organized under the auspices of the International Educational Data Mining Society in Montreal, Canada. The theme of this year's conference is EDM in Open-Ended Domains. As EDM has matured it has increasingly been applied to open-ended and ill-defined tasks…
Descriptors: Data Collection, Data Analysis, Information Retrieval, Content Analysis