Introduction to special section: learning analytics as part of the higher education ecosystem
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Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s12528-024-09400-w.pdf
Reference14 articles.
1. Barnard, L., Lan, W. Y., To, Y. M., Paton, V. O., & Lai, S. L. (2009). Measuring self-regulation in online and blended learning environments. The Internet and Higher Education, 12(1), 1–6. https://doi.org/10.1016/j.iheduc.2008.10.005.
2. Blackmon, S. J., & Moore, R. L. (2020). A framework to support interdisciplinary engagement with learning analytics. In D. Ifenthaler & D. C. Gibson (Eds.), Adoption of Data Analytics in HIgher Education Learning and Teaching (pp. 39–52). Springer. https://doi.org/10.1007/978-3-030-47392-1_3.
3. Blackmon, S. J., & Moore, R. L. (2023). Using networked learning to improve learning analytics implementation. Journal of Computing in Higher Education, Advance online publication. https://doi.org/10.1007/s12528-023-09362-5.
4. Çakiroğlu, Ü., Kokoç, M., & Atabay, M. (2024). Online learners’ self-regulated learning skills regarding LMS interactions: a profiling study. Journal of Computing in Higher Education, Advance on. https://doi.org/10.1007/s12528-024-09397-2.
5. Khalil, M., Slade, S., & Prinsloo, P. (2023). Learning analytics in support of inclusiveness and disabled students: A systematic review. Journal of Computing in Higher Education, Advance on. https://doi.org/10.1007/s12528-023-09363-4.
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