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Predicting Students' Achievement in a Hybrid Environment through Self-Regulated Learning, Log Data, and Course Engagement: A Data Mining Approach
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Ali, Amira D.; Hanna, Wael K. – Journal of Educational Computing Research, 2022
With the spread of the COVID-19 pandemic, many universities adopted a hybrid learning model as a substitute for a traditional one. Predicting students' performance in hybrid environments is a complex task because it depends on extracting and analyzing different types of data: log data, self-reports, and face-to-face interactions. Students must…
Descriptors: Predictor Variables, Academic Achievement, Blended Learning, Independent Study
Facilitating Emergency Remote K-12 Teaching in Computing-Enhanced Virtual Learning Environments during COVID-19 Pandemic -- Blessing or Curse?
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Shamir-Inbal, Tamar; Blau, Ina – Journal of Educational Computing Research, 2021
This study explored teacher experience in leading Emergency Remote Teaching (ERT) in K-12 and conducting blended synchronous and asynchronous instruction during the COVID-19 pandemic. The study's purpose was to understand the pedagogical, technological, and organizational challenges and benefits of computing-enhanced digital learning environments,…
Descriptors: COVID-19, Pandemics, School Closing, Educational Technology