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Ferguson, Joseph Paul; Tytler, Russell; White, Peta – International Journal of Science Education, 2022
Reporting on a Grade 4 teaching and learning sequence, we highlight foundational constructs of measurement and data modelling which are fundamental to competence development in both science and mathematics. The sequence involved students generating and representing measures of their teacher's arm-span, with a focus on the invention and refinement…
Descriptors: Aesthetics, Data Analysis, Educational Philosophy, Teaching Methods
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Walls, Jill K.; Hall, Scott S. – Teaching in Higher Education, 2018
Past research has drawn attention to the unique challenges for students of color attending predominantly white colleges and universities, yet few have focused on the classroom as a micro-context in which race-related discussions often occur. Using a focus group methodology, 22 African American undergraduate students from a variety of academic…
Descriptors: African American Students, Controversial Issues (Course Content), Race, Focus Groups
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Do, Seung Lee; Schallert, Diane Lemonnier – Journal of Educational Psychology, 2004
To understand the role of affect in classroom discussion, the authors asked 16 students taking a 3-hr seminar to participate in a semester-long grounded theory inquiry. Coding of classroom observations, stimulated recall interviews, and self-ratings from each class meeting resulted in a model of affect as a catalyst in students' experience of…
Descriptors: Classroom Communication, Discussion (Teaching Technique), Affective Behavior, Context Effect
Stamper, John, Ed.; Pardos, Zachary, Ed.; Mavrikis, Manolis, Ed.; McLaren, Bruce M., Ed. – International Educational Data Mining Society, 2014
The 7th International Conference on Education Data Mining held on July 4th-7th, 2014, at the Institute of Education, London, UK is the leading international forum for high-quality research that mines large data sets in order to answer educational research questions that shed light on the learning process. These data sets may come from the traces…
Descriptors: Information Retrieval, Data Processing, Data Analysis, Data Collection