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Elissavet Papageorgiou; Jacqueline Wong; Mohammad Khalil; Annoesjka J. Cabo – Journal of Learning Analytics, 2025
Behavioural engagement as a predictor of academic success hinges on the interplay between effort and time. Exploring the longitudinal development of engagement is vital for understanding adaptations in learning behaviour and informing educational interventions. However, person-oriented longitudinal studies on student engagement are scarce.…
Descriptors: Learner Engagement, Student Behavior, Electronic Learning, Web Based Instruction
Dirk Tempelaar; Bart Rienties; Bas Giesbers; Quan Nguyen – Journal of Learning Analytics, 2023
Learning analytics needs to pay more attention to the temporal aspect of learning processes, especially in self-regulated learning (SRL) research. In doing so, learning analytics models should incorporate both the duration and frequency of learning activities, the passage of time, and the temporal order of learning activities. However, where this…
Descriptors: Time Factors (Learning), Learning Analytics, Models, Statistical Analysis
Tempelaar, Dirk – International Association for Development of the Information Society, 2022
E-tutorial learning aids as worked examples and hints have been established as effective instructional formats in problem-solving practices. However, less is known about variations in the use of learning aids across individuals at different stages in their learning process in student-centred learning contexts. This study investigates different…
Descriptors: Learning Analytics, Student Centered Learning, Learning Processes, Student Behavior

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