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Akbas, Elif Ertem; Alan, Kübra – Online Submission, 2022
Due to the fact that the pandemic process did not occur in a predictable time frame, various difficulties have arisen in the field of education. This is also true in mathematics education, and concretization has been one of the biggest obstacles. This situation paved the way for concept learning errors that may occur in students. There are some…
Descriptors: Distance Education, Pandemics, COVID-19, Mathematics Instruction
Black, Paul; Wilson, Mark; Yao, Shih-Ying – Measurement: Interdisciplinary Research and Perspectives, 2011
The overall aim of this article is to analyze the relationships between the roles of assessment in pedagogy, the interactions between curriculum assessment and pedagogy, and the study of pupils' progression in learning. It is argued that well-grounded evidence of pupils' progressions in learning is crucial to the work of teachers, so that a method…
Descriptors: Evidence, Learning Strategies, Program Effectiveness, Grade 8
Glass, Brad – Mathematics Teaching in the Middle School, 2004
This article describes a technology-based approach for dealing with a misconception that some students hold concerning the equivalency of geometric transformations. Students can begin to conceptualize transformations in terms of the relationship between preimage and image figures rather than focus on the motion of a figure. (Contains 7 figures.)
Descriptors: Geometric Concepts, Transformations (Mathematics), Educational Technology, Misconceptions
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