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Tornike Giorgashvili; Ioana Jivet; Cordula Artelt; Daniel Biedermann; Daniel Bengs; Frank Goldhammer; Carolin Hahnel; Julia Mendzheritskaya; Julia Mordel; Monica Onofrei; Marc Winter; Ilka Wolter; Holger Horz; Hendrik Drachsler – Journal of Computer Assisted Learning, 2025
Background: Learning analytics dashboards (LAD) have been developed as feedback tools to help students self-regulate their learning (SRL) by using the large amounts of data generated by online learning platforms. Despite extensive research on LAD design, there remains a gap in understanding how learners make sense of information visualised on LADs…
Descriptors: Field Studies, Student Reaction, Feedback (Response), Learning Analytics
Bin Liu; Yuanyuan Liao – Education and Information Technologies, 2025
The rapid advancement of generative AI technologies is increasingly accompanied by their broader application across various sectors, particularly within creative industries. In this study, IBM Watson BEAT software, based on generative AI technology, was tested as an educational tool in the process of teaching music composition theory to flute…
Descriptors: Artificial Intelligence, Technology Uses in Education, Technology Integration, Educational Technology
Julia A. Gwynne; Elaine M. Allensworth; Christopher Young; Holly Hart – University of Chicago Consortium on School Research, 2025
The COVID-19 pandemic created an unprecedented disruption in schooling for teachers, students, and their families. Chicago Public Schools (CPS), like many districts around the nation, shifted to fully remote learning in spring 2020, and most of its schools remained closed during fall 2020. Beginning in January 2021, the district gradually began to…
Descriptors: COVID-19, Pandemics, Student Experience, Attendance
Nathan A. Hawk; Kui Xie; Azita Manouchehri – Journal of Urban Mathematics Education, 2025
In online virtual-based learning, combining more adaptive personal student characteristics with risk factors, the purpose of this study was to examine the relationship between student at-risk factors and mathematics achievement. Further, the study examined how personal student characteristics, which are sometimes amenable to change and…
Descriptors: Student Characteristics, Mathematics Achievement, Nontraditional Students, High School Students