Learning Analytics for Programme Review: Evidence, Analysis, and Action to Improve Student Learning Outcomes

Author:

Armatas ChristineORCID,Kwong TheresaORCID,Chun Cecilia,Spratt Christine,Chan DickORCID,Kwan JoannaORCID

Funder

Hong Kong University Grants Committee

Publisher

Springer Science and Business Media LLC

Subject

Computer Science Applications,Human-Computer Interaction,Education,Mathematics (miscellaneous)

Reference50 articles.

1. Agudo-Peregrina, Á. F., Iglesias-Pradas, S., Conde-González, M. Á., & Hernández-García, Á. (2014). Can we predict success from log data in VLEs? Classification of interactions for learning analytics and their relation with performance in VLE-supported F2F and online learning. Computers in Human Behavior, 31, 542–550. https://doi.org/10.1016/j.chb.2013.05.031

2. Arnold, K. E., & Pistilli, M. D. (2012). Course signals at Purdue: Using learning analytics to increase student success. In Proceedings of the 2nd international conference on learning analytics and knowledge, Vancouver, BC, Canada (pp. 267–270). https://doi.org/10.1145/2330601.2330666. Retrieved 25th May, 2021.

3. Atherton, M., Shah, M., Vazquez, J., Griffiths, Z., Jackson, B., & Burgess, C. (2017). Using learning analytics to assess student engagement and academic outcomes in open access enabling programmes. Open Learning: The Journal of Open, Distance and e-Learning, 32(2), 119–136. https://doi.org/10.1080/02680513.2017.1309646

4. Australian Government TEQSA. (2017). Guidance Note: Academic Governance Version 2.3. Retrieved 25th May, 2021, from https://www.teqsa.gov.au/sites/default/files/guidance-note-academic-governance-2-3-web.pdf?v=1581307179.

5. Azcona, D., Corrigan, O., Scanlon, P., & Smeaton, A. F. (2017). Innovative learning analytics research at a data-driven HEI. In Proceedings of the 3rd international conference on higher education advances, Valencia, Spain. https://doi.org/10.4995/HEAd17.2017.5245. Retrieved 25th May, 2021.

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