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Evaluating the Relationship Between Course Structure, Learner Activity, and Perceived Value of Online Courses

Published: 14 March 2015 Publication History

Abstract

Using aggregated Learning Management System data and course evaluation data from 26 online courses, we evaluated the relationship between measures of online activity, course and assessment structure, and student perceptions of course value. We find relationships between selected dimensions of learner engagement that reflect current constructivist theories of learning. This work demonstrates the potential value of pooled, easily accessible, and anonymous data for high-level inferences regarding design of online courses and the learner experience.

References

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Macfadyen, L. P., & Dawson, S. Numbers are not enough. Why e-learning analytics failed to inform an institutional strategic plan. Educational Technology & Society, 15(3) (2012), 149--163.
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Manyika, J., Chui, M., Brown, B., Bughin, J., Dobbs, R., Roxburgh, C., & Byers, A. H. Big data: The next frontier for innovation, competition and productivity. McKinsey Global Institute (2011). http://www.mckinsey.com/insights/ business_technology/big_data_the_next_frontier_for_innovation
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Ferguson, R. Learning analytics: Drivers, developments and challenges. International Journal of Technology Enhanced Learning, 4, 5/6 (2012), 304--317.
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Macfadyen, L.P. & Dawson, S. (2010) Mining LMS data to develop an 'early warning system' for educators: A proof of concept, Computers & Education, 54, 2, (2010), 588--599.
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Garrison, D. R., Anderson, T., & Archer, W. Critical inquiry in a text-based environment: Computer conferencing in higher education model. The Internet and Higher Education, 2, 2--3 (2000), 87--105.
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Marsh, H. W. Students' Evaluations of University Teaching: Dimensionality, Reliability, Validity, Potential Biases and Usefulness. In The Scholarship of Teaching and Learning in Higher Education: An Evidence-Based Perspective edited by R. P. Perry and J. C. Smart. Springer (2007), 319--383.

Cited By

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  • (2024)An Analysis of Learning Analytics Approaches for Course EvaluationBlended Learning. Intelligent Computing in Education10.1007/978-981-97-4442-8_17(229-237)Online publication date: 29-Jun-2024
  • (2017)Inferring Students' Sense of Community from Their Communication Behavior in Online CoursesProceedings of the 25th Conference on User Modeling, Adaptation and Personalization10.1145/3079628.3079678(238-246)Online publication date: 9-Jul-2017

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  1. Evaluating the Relationship Between Course Structure, Learner Activity, and Perceived Value of Online Courses

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    Published In

    cover image ACM Conferences
    L@S '15: Proceedings of the Second (2015) ACM Conference on Learning @ Scale
    March 2015
    438 pages
    ISBN:9781450334112
    DOI:10.1145/2724660
    Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 14 March 2015

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    Author Tags

    1. engagement
    2. learning analytics
    3. learning management system
    4. student evaluation of teaching

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    • Work in progress

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    L@S 2015
    Sponsor:
    L@S 2015: Second (2015) ACM Conference on Learning @ Scale
    March 14 - 18, 2015
    BC, Vancouver, Canada

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    L@S '15 Paper Acceptance Rate 23 of 90 submissions, 26%;
    Overall Acceptance Rate 117 of 440 submissions, 27%

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    Cited By

    View all
    • (2024)An Analysis of Learning Analytics Approaches for Course EvaluationBlended Learning. Intelligent Computing in Education10.1007/978-981-97-4442-8_17(229-237)Online publication date: 29-Jun-2024
    • (2017)Inferring Students' Sense of Community from Their Communication Behavior in Online CoursesProceedings of the 25th Conference on User Modeling, Adaptation and Personalization10.1145/3079628.3079678(238-246)Online publication date: 9-Jul-2017

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