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Direct linkPark, Eunsung; Ifenthaler, Dirk; Clariana, Roy B. – British Journal of Educational Technology, 2023
The real-time and granularized learning information and recommendations available from adaptive learning technology can provide learners with feedback that is personalized. However, at an individual level, learners often experience technological and pedagogical conflicts. Learners have more freedom to accept, ignore or reject the feedback while…
Descriptors: Metacognition, Learning Analytics, Learning Management Systems, Learning Strategies
Sonja Kleter; Uwe Matzat; Rianne Conijn – IEEE Transactions on Learning Technologies, 2024
Much of learning analytics research has focused on factors influencing model generalizability of predictive models for academic performance. The degree of model generalizability across courses may depend on aspects, such as the similarity of the course setup, course material, the student cohort, or the teacher. Which of these contextual factors…
Descriptors: Prediction, Models, Academic Achievement, Learning Analytics
Milena Kovacevic; Nevena Ivanovic; Ana Protic; Danijela Milenkovic; Zoran Mandinic; Dragana Puzovic; Miloš Bajcetic; Dušan Popadic; Jelena Parojcic; Andelija Malenovic – European Journal of Education, 2024
Digital transformation in education and relevant calls for action are recognised global priorities aimed to support education and training in the digital age. The experiences from the emergency remote teaching during the COVID-19 pandemic and recent research findings reveal relevant advantages, challenges, as well as different students and…
Descriptors: Health Sciences, Electronic Learning, Student Attitudes, COVID-19
