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Conijn, Rianne; Snijders, Chris; Kleingeld, Ad; Matzat, Uwe – IEEE Transactions on Learning Technologies, 2017
With the adoption of Learning Management Systems (LMSs) in educational institutions, a lot of data has become available describing students' online behavior. Many researchers have used these data to predict student performance. This has led to a rather diverse set of findings, possibly related to the diversity in courses and predictor variables…
Descriptors: Blended Learning, Predictor Variables, Predictive Validity, Predictive Measurement
Zhang, Xiangmin – Journal of Education for Library and Information Science, 2016
This research investigated the relationship between online students' behaviors in a learning management system and their learning performance, as measured by their final grades. Four online information technology classes in a major U.S. library and information science program were studied. The course sites' log data, as well as the students' final…
Descriptors: Online Courses, Student Behavior, Case Studies, Information Science Education
Fratto, Victoria; Sava, Magda Gabriela; Krivacek, Gregory J. – International Journal of Information and Communication Technology Education, 2016
Educators in all disciplines are searching for effective educational technologies that help students learn. One technology that has evolved is the online homework management system. The online homework management system permits professors to use the Internet to assign homework problems that students can complete online. Since this system is…
Descriptors: Online Courses, Homework, Database Management Systems, Performance Based Assessment

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