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| Content Provider | ACM Digital Library |
|---|---|
| Author | Bodily, Robert Verbert, Katrien |
| Abstract | We conducted a literature review on systems that track learning analytics data (e.g., resource use, time spent, assessment data, etc.) and provide a report back to students in the form of visualizations, feedback, or recommendations. This review included a rigorous article search process; 945 articles were identified in the initial search. After filtering out articles that did not meet the inclusion criteria, 94 articles were included in the final analysis. Articles were coded on five categories chosen based on previous work done in this area: functionality, data sources, design analysis, perceived effects, and actual effects. The purpose of this review is to identify trends in the current student-facing learning analytics reporting system literature and provide recommendations for learning analytics researchers and practitioners for future work. |
| Starting Page | 309 |
| Ending Page | 318 |
| Page Count | 10 |
| File Format | |
| ISBN | 9781450348706 |
| DOI | 10.1145/3027385.3027403 |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2017-03-13 |
| Publisher Place | New York |
| Access Restriction | Subscribed |
| Subject Keyword | Learning analytics Learning analytics dashboards Educational recommender systems Literature review Student-facing systems |
| Content Type | Text |
| Resource Type | Article |
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