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Direct linkFrischemeier, Daniel; Biehler, Rolf – Statistics Education Research Journal, 2018
Group comparisons offer students opportunities to reason about many fundamental statistical concepts like center, variation, or distribution. When doing such activities using large, real datasets, technology becomes an essential tool for exploring the data. With its large variety of features and its user-friendly handling, TinkerPlots™--as a…
Descriptors: Graphs, Teaching Methods, Educational Technology, Technology Uses in Education
Biehler, Rolf; Frischemeier, Daniel; Podworny, Susanne – Statistics Education Research Journal, 2017
Connecting data and chance is fundamental in statistics curricula. The use of software like TinkerPlots can bridge both worlds because the TinkerPlots Sampler supports learners in expressive modeling. We conducted a study with elementary preservice teachers with a basic university education in statistics. They were asked to set up and evaluate…
Descriptors: Elementary School Teachers, Preservice Teachers, Teaching Methods, Computer Software
Diamond, Myrna Elyse – ProQuest LLC, 2011
This descriptive case study investigated the role of narrative in multimedia learning and teaching and observed how teachers applied their understanding of narrative, and new constructivist technologies, to design multimedia presentations for instruction. The study looked specifically at the cognitive strategies, visual narrative concepts, and…
Descriptors: Video Technology, Constructivism (Learning), Instructional Design, Computer Graphics
Download full textLynch, 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
