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Download full textDong, Yihuan; Marwan, Samiha; Shabrina, Preya; Price, Thomas; Barnes, Tiffany – International Educational Data Mining Society, 2021
Over the years, researchers have studied novice programming behaviors when doing assignments and projects to identify struggling students. Much of these efforts focused on using student programming and interaction features to predict student success at a course level. While these methods are effective at early detection of struggling students in…
Descriptors: Navigation (Information Systems), Academic Achievement, Learner Engagement, Programming
Zhi, Rui; Marwan, Samiha; Dong, Yihuan; Lytle, Nicholas; Price, Thomas W.; Barnes, Tiffany – International Educational Data Mining Society, 2019
Viewing worked examples before problem solving has been shown to improve learning efficiency in novice programming. Example-based feedback seeks to present smaller, adaptive worked example steps during problem solving. We present a method for automatically generating and selecting adaptive, example-based programming feedback using historical…
Descriptors: Data Use, Feedback (Response), Novices, Programming
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
