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ERIC Number: EJ1119876
Record Type: Journal
Publication Date: 2017
Pages: 19
Abstractor: As Provided
ISBN: N/A
ISSN: ISSN-1548-1093
EISSN: N/A
Predicting Student Satisfaction and Outcomes in Online Courses Using Learning Activity Indicators
Strang, Kenneth David
International Journal of Web-Based Learning and Teaching Technologies, v12 n1 p32-50 2017
The premise for this study was that learner interaction in an online web-based course could be assessed in relation to academic performance, or in other words, e-learning. Although some studies reveal that learner interaction with online content is related to student academic performance, it remains unproven whether this is casual, or even if there may be a significant correlation. Thus, this study seeks to measure if there is a directional and then a casual relationship between student online academic performance, engagement analytics and other online activity factors. A unique aspect of this study is that data is collected from Moodle engagement analytics as well as from the activity logs. Student academic performance is measured based on the grade achieved from an assessment designed to map to the course learning objectives.
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Publication Type: Journal Articles; Reports - Research
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Grant or Contract Numbers: N/A