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Analysis of Student Activity in Web-Supported Courses as a Tool for Predicting Dropout
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Cohen, Anat – Educational Technology Research and Development, 2017
Persistence in learning processes is perceived as a central value; therefore, dropouts from studies are a prime concern for educators. This study focuses on the quantitative analysis of data accumulated on 362 students in three academic course website log files in the disciplines of mathematics and statistics, in order to examine whether student…
Descriptors: Academic Persistence, Predictor Variables, Dropouts, At Risk Students
Student Perceptions of Privacy Principles for Learning Analytics
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Ifenthaler, Dirk; Schumacher, Clara – Educational Technology Research and Development, 2016
The purpose of this study was to examine student perceptions of privacy principles related to learning analytics. Privacy issues for learning analytics include how personal data are collected and stored as well as how they are analyzed and presented to different stakeholders. A total of 330 university students participated in an exploratory study…
Descriptors: Student Attitudes, Privacy, Data Collection, Data Analysis
Analyzing the Knowledge Construction and Cognitive Patterns of Blog-Based Instructional Activities Using Four Frequent Interactive Strategies (Problem Solving, Peer Assessment, Role Playing and Peer Tutoring): A Preliminary Study
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Wang, Shu-Ming; Hou, Huei-Tse; Wu, Sheng-Yi – Educational Technology Research and Development, 2017
Instructional strategies can be helpful in facilitating students' knowledge construction and developing advanced cognitive skills. In the context of collaborative learning, instructional strategies as scripts can guide learners to engage in more meaningful interaction. Previous studies have been investigated the benefits of different instructional…
Descriptors: Cognitive Processes, Electronic Journals, Student Journals, Web Based Instruction