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Direct linkLei, Wu; Qing, Fang; Zhou, Jin – International Journal of Distance Education Technologies, 2016
There are usually limited user evaluation of resources on a recommender system, which caused an extremely sparse user rating matrix, and this greatly reduce the accuracy of personalized recommendation, especially for new users or new items. This paper presents a recommendation method based on rating prediction using causal association rules.…
Descriptors: Causal Models, Attribution Theory, Correlation, Evaluation Methods
Sovajassatakul, Thanongsak; Jitgarun, Kalayanee; Shinatrakool, Raveewan – Journal of College Teaching & Learning, 2011
The purpose of the study reported on in this paper was to identify and compare instructors' and students' perceptions of Team-Based Learning (TBL). Participants were 270 instructors and 288 fourth year students from the faculties of Industrial Education at six universities in Bangkok. The data were analyzed using factor analysis and structural…
Descriptors: Instructional Design, Industrial Education, Student Attitudes, Structural Equation Models
