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Investigating Features That Play a Role in Predicting Gifted Student Engagement Using Machine Learning: Video Log and Self-Report Data

Peer reviewed

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Gülay Öztüre Yavuz; Gökhan Akçapinar; Hatice Çirali Sarica; Yasemin Koçak Usluel – Education and Information Technologies, 2024

This study aims to develop a predictive model for predicting gifted students' engagement levels and to investigate the features that are important in such predictions. Features reflecting students' emotions, social-emotional learning skills, learning approaches and video-watching behaviours were used in the prediction models. The study group…

Descriptors: Secondary School Students, Academically Gifted, Gifted Education, Learner Engagement

The Effects of Pacing and Sequence Control in an Interactive Video Lesson.

Peer reviewed

Milheim, William D. – Educational and Training Technology International, 1990

Discusses research on learner control, pacing, and sequence, and describes a study of undergraduates that was conducted to determine the effects of learner versus program control of pacing and sequence in an interactive video lesson on photography. Results are analyzed, and suggestions for further research are given. (38 references) (LRW)

Descriptors: Analysis of Covariance, Computer Assisted Instruction, Courseware, Higher Education