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Cho, Moon-Heum; Yoo, Jin Soung – Interactive Learning Environments, 2017
Many researchers who are interested in studying students' online self-regulated learning (SRL) have heavily relied on self-reported surveys. Data mining is an alternative technique that can be used to discover students' SRL patterns from large data logs saved on a course management system. The purpose of this study was to identify students' online…
Descriptors: Online Courses, Self Management, Active Learning, Data Analysis
Horvat, Ana; Dobrota, Marina; Krsmanovic, Maja; Cudanov, Mladen – Interactive Learning Environments, 2015
This research study addresses differences in student perception of the significance of Moodle learning management system (LMS) quality characteristics and differences in student satisfaction in regard to such characteristics. Therein, it has been proven in this study that male and female students are equally satisfied with Moodle LMS quality…
Descriptors: Student Attitudes, Management Systems, Gender Differences, Educational Quality
Poelmans, Stephan; Wessa, Patrick – Interactive Learning Environments, 2015
In this study, we report on the students' evaluation of a self-constructed constructivist e-learning environment for statistics, the compendium platform (CP). The system was built to endorse deeper learning with the incorporation of statistical reproducibility and peer review practices. The deployment of the CP, with interactive workshops and…
Descriptors: Electronic Learning, Constructivism (Learning), Blended Learning, Business Administration Education
Halimi, Khaled; Seridi-Bouchelaghem, Hassina; Faron-Zucker, Catherine – Interactive Learning Environments, 2014
Compared with learning in classrooms, classical e-learning systems are less adaptive and once a system that supports a particular strategy has been designed and implemented, it is less likely to change according to student's interactions and preferences. Remote educational systems should be developed to ensure as much as necessary the…
Descriptors: Electronic Learning, Learning Processes, Semantics, Student Interests