ERIC Number: EJ1089498
Record Type: Journal
Publication Date: 2016-Mar
Abstractor: As Provided
Reference Count: 59
Do the Critical Success Factors from Learning Analytics Predict Student Outcomes?
Strang, Kenneth David
Journal of Educational Technology Systems, v44 n3 p273-299 Mar 2016
This article starts with a detailed literature review of recent studies that focused on using learning analytics software or learning management system data to determine the nature of any relationships between online student activity and their academic outcomes within university-level business courses. The article then describes how data was collected from an online course in Moodle learning management system and the student test scores are compared with the engagement learning analytics indicators to measure the strength and predictive nature the hypothesized relationships. The results were less than definitive and in some ways even puzzling. Despite the paucity of positive results, the findings indicated there was very little correlation between student online practices and their academic outcomes in a qualitative business course. On the other hand, several explanations were offered to account for these results, including small sample size, the specialized nature of the course, and the likelihood that students were downloading the material instead of interacting online. The article closes by suggesting directions for future learning analytics research in higher education.
Descriptors: Outcomes of Education, Higher Education, Computer Software, Academic Achievement, Predictor Variables, Technology Integration, Integrated Learning Systems, Management Systems, Data Collection, Scores, Learner Engagement, Comparative Analysis, Correlation, Learning, Data Analysis, Electronic Learning, Online Courses, Business Schools, Statistical Analysis
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Publication Type: Journal Articles; Reports - Research
Education Level: Higher Education; Postsecondary Education
Authoring Institution: N/A
Identifiers - Location: New York