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David DeLiema; Jeffrey K. Bye; Vijay Marupudi – ACM Transactions on Computing Education, 2024
Learning to respond to a computer program that is not working as intended is often characterized as finding a singular bug causing a singular problem. This framing underemphasizes the wide range of ways that students and teachers could notice discrepancies from their intention, propose causes of those discrepancies, and implement interventions.…
Descriptors: Computer Software, Troubleshooting, Intention, Intervention
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Lin, Chih-Cheng; Hsiao, Hsien-Sheng; Tseng, Sheng-ping; Chan, Hsin-jung – Turkish Online Journal of Educational Technology - TOJET, 2014
This study was intended to investigate whether computer-assisted collaborative learning is comparable with computer-free and individual learning; in particular, it examined each of their effects on learning English vocabulary, followed by an analysis of their behavior patterns. In a junior high school in northern Taiwan, a normal classroom was…
Descriptors: English (Second Language), Second Language Instruction, Foreign Countries, Vocabulary Development
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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