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Direct linkFazeli, Soude; Drachsler, Hendrik; Bitter-Rijpkema, Marlies; Brouns, Francis; Brouns, Wim van der Vegt; Sloep, Peter B. – IEEE Transactions on Learning Technologies, 2018
Recommender systems provide users with content they might be interested in. Conventionally, recommender systems are evaluated mostly by using prediction accuracy metrics only. But, the ultimate goal of a recommender system is to increase user satisfaction. Therefore, evaluations that measure user satisfaction should also be performed before…
Descriptors: Evaluation, Socialization, Accuracy, Prediction
Tempelaar, Dirk T.; Rienties, Bart; Nguyen, Quan – IEEE Transactions on Learning Technologies, 2017
Studies in the field of learning analytics (LA) have shown students' demographics and learning management system (LMS) data to be effective identifiers of "at risk" performance. However, insights generated by these predictive models may not be suitable for pedagogically informed interventions due to the inability to explain why students…
Descriptors: Student Behavior, Integrated Learning Systems, Personality, Educational Research
