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Kam Hong Shum; Samuel Kai Wah Chu; Cheuk Yu Yeung – Interactive Learning Environments, 2023
This study examines the use of data analytics to evaluate students' behaviours during their participation in an online collaborative learning environment called SkyApp. To visualise the learning traits of engagement, emotion and motivation, students' inputs and activity data were captured and quantified for analysis. Experiments were first carried…
Descriptors: Student Behavior, Online Courses, Cooperative Learning, Computer Software
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Sorensen, Lucy C. – Educational Administration Quarterly, 2019
Purpose: In an era of unprecedented student measurement and emphasis on data-driven educational decision making, the full potential for using data to target resources to students has yet to be realized. This study explores the utility of machine-learning techniques with large-scale administrative data to identify student dropout risk. Research…
Descriptors: At Risk Students, Dropouts, Data Collection, Data Analysis
Welker, Heidi Stevenson – ProQuest LLC, 2010
Cyberbullying on social networking sites such as MySpace and Facebook has had negative effects on children at school. Cyberbullying disruption during the school day adds to the complexity of maintaining school operations, safety, and academic achievement. With the advancement of technology, there is a gap in the literature on the disruption in…
Descriptors: Suburban Schools, Student Behavior, Social Change, Data Analysis
Berg, Juliette; Torrente, Catalina; Aber, J. Lawrence; Jones, Stephanie M.; Brown, Joshua L. – Society for Research on Educational Effectiveness, 2010
The 4Rs Program (Reading, Writing, Respect and Resolution) is a "dual focus" whole school universal intervention designed to promote literacy development and social-emotional learning, that is currently being rigorously evaluated using a school-randomized trial of 18 elementary schools (9 intervention, 9 control) in New York City. The…
Descriptors: Intervention, Educational Change, Data, Program Evaluation