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Direct linkKang Ma; Abubakar Bello; Jingjing Dong; Muhammad Chutiyami – Distance Education, 2024
Blended teaching (BT) in pre-service teacher (PST) education has significantly increased, particularly owing to the impact of COVID-19. However, there is limited literature on how pre-service teachers (PSTs) adjust to this mode of teaching. This study provides new longitudinal evidence on the adaptability of PSTs (n = 1285) and its predictors,…
Descriptors: Preservice Teachers, Blended Learning, Adjustment (to Environment), Predictor Variables
Yasmin, Dr. – Distance Education, 2013
This paper demonstrates the meaningful application of learning analytics for determining dropout predictors in the context of open and distance learning in a large developing country. The study was conducted at the Directorate of Distance Education at the University of North Bengal, West Bengal, India. This study employed a quantitative research…
Descriptors: Distance Education, Open Universities, Predictor Variables, Student Behavior
