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Hernán Gabriel Pérez Buelvas – HOW, 2024
This research focuses on how designing, implementing, and evaluating didactic strategies and activities based on scaffolding with visualization and the use of graphic organizers guide the process of reading comprehension in an eighth-grade public school course placed at A1 level. The research methodology was framed as action research with a…
Descriptors: Reading Skills, Scaffolding (Teaching Technique), Grade 8, Middle School Students
Hillaire, Garron; Rappolt-Schlichtmann, Gabrielle; Ducharme, Kim – Journal of Learning Analytics, 2016
Prototype work can support the creation of data visualizations throughout the research and development process through paper prototypes with sketching, designed prototypes with graphic design tools, and functional prototypes to explore how the implementation will work. One challenging aspect of data visualization work is coordinating the expertise…
Descriptors: Visual Learning, Educational Theories, Visualization, Computer Graphics
Francis, Krista; Jacobsen, Michele; Friesen, Sharon – Journal of Information Technology Education: Research, 2014
Visuals and graphics have been used for communicating complex ideas since 1786 when William Playfair first invented the line graph and bar chart. Graphs and charts are useful for interpretation and making sense of data. For instance, John Snow's scatter plot helped pinpoint the source of a cholera outbreak in London in 1854 and also changed…
Descriptors: Graphs, Charts, Longitudinal Studies, Statistical Data
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