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Trends and issues in student-facing learning analytics reporting systems research

Trends and issues in student-facing learning analytics reporting systems research Trends and Issues in Student-Facing Learning Analytics Reporting Systems Research Robert Bodily Brigham Young University bodilyrobert@gmail.com 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 studentfacing learning analytics reporting system literature and provide recommendations for learning analytics researchers and practitioners for future work. Katrien Verbert University of Leuven katrien.verbert@cs.kuleuven.be There have been previous literature reviews conducted in this area (see [4], [5], [6], and [7]) which focus on learning analytics dashboards for all stakeholders (e.g. administrators, instructors, students). In order to enable student autonomy and compare student-facing reporting systems across disciplines, we focus exclusively on student-facing systems (collecting student http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png

Trends and issues in student-facing learning analytics reporting systems research

Association for Computing Machinery — Mar 13, 2017

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Datasource
Association for Computing Machinery
Copyright
Copyright © 2017 by ACM Inc.
ISBN
978-1-4503-4870-6
doi
10.1145/3027385.3027403
Publisher site
See Article on Publisher Site

Abstract

Trends and Issues in Student-Facing Learning Analytics Reporting Systems Research Robert Bodily Brigham Young University bodilyrobert@gmail.com 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 studentfacing learning analytics reporting system literature and provide recommendations for learning analytics researchers and practitioners for future work. Katrien Verbert University of Leuven katrien.verbert@cs.kuleuven.be There have been previous literature reviews conducted in this area (see [4], [5], [6], and [7]) which focus on learning analytics dashboards for all stakeholders (e.g. administrators, instructors, students). In order to enable student autonomy and compare student-facing reporting systems across disciplines, we focus exclusively on student-facing systems (collecting student

There are no references for this article.