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Direct linkChango, Wilson; Cerezo, Rebeca; Sanchez-Santillan, Miguel; Azevedo, Roger; Romero, Cristóbal – Journal of Computing in Higher Education, 2021
The aim of this study was to predict university students' learning performance using different sources of performance and multimodal data from an Intelligent Tutoring System. We collected and preprocessed data from 40 students from different multimodal sources: learning strategies from system logs, emotions from videos of facial expressions,…
Descriptors: Grade Prediction, Intelligent Tutoring Systems, College Students, Data Use
Yilmaz, Ramazan; Yurdugül, Halil – Journal of Computing in Higher Education, 2018
The purpose of this study is to find out the level of cyberloafing behaviors of the students in information technologies (IT) classrooms; and to examine the relationship between cyberloafing behaviors and the psycho-social perceptions, attitudes and motivation for the courses and learning strategies. Correlational method was utilized; and…
Descriptors: Educational Technology, Technology Uses in Education, Student Behavior, Correlation
