Student Opinions About Personalized Recommendation and Feedback Based on Learning Analytics

Author:

Karaoglan Yilmaz Fatma Gizem,Yilmaz Ramazan

Publisher

Springer Science and Business Media LLC

Subject

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

Reference64 articles.

1. Archer, E., & Prinsloo, P. (2019). Speaking the unspoken in learning analytics: Troubling the defaults. Assessment & Evaluation in Higher Education. https://doi.org/10.1080/02602938.2019.1694863.

2. Baker, L., & Brown, A. L. (1984). Metacognitive skills and reading. In P. D. Pearson, R. Barr, M. L. Kamil, & P. Mosenthal (Eds.), Handbook of reading research (pp. 353–394). New York: Longman.

3. Brown, A. L. (1987). Metacognition, executive control, self-regulation, and other more mysterious mechanisms. In F. E. Weinert & R. H. Kluwe (Eds.), Metacognition, motivation, and understanding (pp. 65–116). Hillsdale, New Jersey: Lawrence Erlbaum Associates.

4. Beattie, S., Woodley, C., & Souter, K. (2014). Creepy analytics and learner data rights. In Proceedings of the rhetoric and reality: Critical perspectives on educational technology-conference (Dunedin).

5. Bodily, R., & Verbert, K. (2017). Review of research on student-facing learning analytics dashboards and educational recommender systems. IEEE Transactions on Learning Technologies, 10(4), 405–418.

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