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Wei Dai; Jionghao Lin; Flora Ji-Yoon Jin; Yi-Shan Tsai; Namrata Srivastava; Pierre Le Bodic; Dragan Gasevic; Guanliang Chen – Journal of Learning Analytics, 2025
Supporting academically at-risk students has attracted much attention in the field of learning analytics. However, much of the research in this area has focused on developing advanced machine learning models to predict students' academic performance, which alone is insufficient to improve student learning without the implementation of timely…
Descriptors: Learning Analytics, Identification, At Risk Students, Feedback (Response)
Jubas, Kaela; Knutson, Patricia – Studies in the Education of Adults, 2012
This article discusses initial findings from a study exploring the pedagogical functions of popular culture. The study was framed by a neo-Gramscian theoretical framework which connects adult education and cultural studies, and asserts that culture underpins important informal adult learning. We used two television shows, "Grey's…
Descriptors: Foreign Countries, Nursing Students, Medical Students, Student Attitudes
International Association for Development of the Information Society, 2012
The IADIS CELDA 2012 Conference intention was to address the main issues concerned with evolving learning processes and supporting pedagogies and applications in the digital age. There had been advances in both cognitive psychology and computing that have affected the educational arena. The convergence of these two disciplines is increasing at a…
Descriptors: Academic Achievement, Academic Persistence, Academic Support Services, Access to Computers

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