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Cantoral, Ricardo; Espinoza, Lianggi; Gaete-Peralta, Claudio – ZDM: Mathematics Education, 2023
The research on which we report in this paper was framed within the socioepistemological theory and dealt with the fundamental role of variational practices in the understanding of COVID-19 pandemic graphs. Given the proliferation of mathematical graphs related to the pandemic in the media, we proposed to analyse the variational practices in use…
Descriptors: COVID-19, Pandemics, Graphs, News Media
Frischemeier, 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
Chimhande, Tinoda; Naidoo, Ana; Stols, Gerrit – Africa Education Review, 2017
This article reports on a study of six Grade 11 learners' levels of understanding of concepts related to the function definition and representation. Task-based clinical interviews were used to elicit the learners' interpretations and reasoning when working with these function-related concepts. Indicators for Action-Process-Object-Schema (APOS)…
Descriptors: Grade 11, Mathematics Instruction, Mathematical Concepts, Case Studies
Garrick, Barbara Gail; Pendergast, Donna – Cambridge Journal of Education, 2014
This paper reports an analysis of the website of an education authority in the state of Queensland, Australia during the changeover from a state-based curriculum to a national curriculum. The paper's value lies in the capture of an exact moment of change. Kress and van Leeuwen's grammar of visual design is employed to analyse the changes to the…
Descriptors: Semiotics, Foreign Countries, Web Sites, National Curriculum
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
Janko, Tomáš; Knecht, Petr – Review of International Geographical Education Online, 2013
The article focuses on the issue of visuals in geography textbooks and their assessment. The issue is explained from the perspective of educational and cognitive psychological theory and the theory of textbooks. The general purpose of the presented research is to develop a research instrument for categorising the types of visuals in geography…
Descriptors: Geography Instruction, Textbooks, Visual Stimuli, Textbook Content
Hu, Xiangen, Ed.; Barnes, Tiffany, Ed.; Hershkovitz, Arnon, Ed.; Paquette, Luc, Ed. – International Educational Data Mining Society, 2017
The 10th International Conference on Educational Data Mining (EDM 2017) is held under the auspices of the International Educational Data Mining Society at the Optics Velley Kingdom Plaza Hotel, Wuhan, Hubei Province, in China. This years conference features two invited talks by: Dr. Jie Tang, Associate Professor with the Department of Computer…
Descriptors: Data Analysis, Data Collection, Graphs, Data Use
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

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