Online persistence in higher education web-supported courses

Volume: 14, Issue: 2, Pages: 98 - 106
Published: Mar 1, 2011
Abstract
This research consists of an empirical study of online persistence in Web-supported courses in higher education, using Data Mining techniques. Log files of 58 Moodle websites accompanying Tel Aviv University courses were drawn, recording the activity of 1189 students in 1897 course enrollments during the academic year 2008/9, and were analyzed with statistical procedures and the Decision Tree algorithm. This yielded five groups of students whose...
Paper Details
Title
Online persistence in higher education web-supported courses
Published Date
Mar 1, 2011
Volume
14
Issue
2
Pages
98 - 106
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