Learning analytics to study and support self-regulated learning

Název: Learning analytics to study and support self-regulated learning
Autor: Juhaňák, Libor; Joksimović, Srećko; Ifenthaler, Dirk
Zdrojový dokument: Studia paedagogica. 2023, roč. 28, č. 3, s. [5]-8
Rozsah
[5]-8
  • ISSN
    1803-7437 (print)
    2336-4521 (online)
Type: Editorial; Ediční poznámka
Jazyk
anglicky
Licence: Neurčená licence
Přístupová práva
otevřený přístup
 

Upozornění: Tyto citace jsou generovány automaticky. Nemusí být zcela správně podle citačních pravidel.


Reference
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[2] Broadbent, J., & Poon, W. L. (2015). Self-regulated learning strategies & academic achievement in online higher education learning environments: A systematic review. Internet and Higher Education, 27, 1-13. https://doi.org/10.1016/j.iheduc.2015.04.007

[3] Ifenthaler, D., & Yau, J. Y.-K. (2020). Utilising learning analytics to support study success in higher education: A systematic review. Educational Technology Research and Development, 68(4), 1961-1990. https://doi.org/10.1007/s11423-020-09788-z

[4] Joksimović, S., Kovanović, V., & Dawson, S. (2019). The Journey of Learning Analytics. HERDSA Review of Higher Education, 6, 37-63.

[5] Juhaňák, L., & Zounek, J. (2019). Learning analytics: Challenges and opportunities of using data analysis in education. In P. Ordóñez de Pablos, M. Lytras, X. Zhang, & K. Chui (Ed.), Opening up education for inclusivity across digital economies and societies (pp. 52-72). IGI Global.

[6] Panadero, E. (2017). A Review of self-regulated learning: Six models and four directions for research. Frontiers in Psychology, 8(422), 1-28. https://doi.org/10.3389/fpsyg.2017.00422

[7] Park, E., Ifenthaler, D., & Clariana, R. (2023). Adaptive or adapted to: Sequence and reflexive thematic analysis to understand learners' self-regulated learning in an adaptive learning analytics dashboard. British Journal of Educational Technology, 54(1), 98-125. https://doi.org/10.1111/bjet.13287

[8] Sedrakyan, G., Malmberg, J., Verbert, K., Järvelä, S., & Kirschner, P. (2018). Linking learning behavior learning analytics and learning science concepts: Designing a learning analytics dashboard for feedback to support learning regulation. Computers in Human Behavior, 107, 1-15. https://doi.org/10.1016/j.chb.2018.05.004

[9] Schumacher, C., & Ifenthaler, D. (2021). Investigating prompts for supporting students’ self-regulation - A remaining challenge for learning analytics approaches? The Internet and Higher Education, 49, 100791. https://doi.org/10.1016/j.iheduc.2020.100791

[10] Siemens, G. (2013). Learning analytics: The emergence of a discipline. American Behavioral Scientist, 57(10), 1380-1400. https://doi.org/10.1177/0002764213498851

[11] Viberg, O., Khalil, M., & Baars, M. (2020). Self-regulated learning and learning analytics in online learning environments: A review of empirical research. The 10th International Learning Analytics and Knowledge Conference, March 23-27, 2020, Frankfurt, Germany.

[12] Winne, P. (2017). Learning analytics for self-regulated learning. In C. Lang, G. Siemens, Wise, A., & D. Gasevic (Eds.), Handbook of Learning Analytics (pp. 241-249). Society for Learning Analytics Research.

[13] Wong, J., Baars, M., Davis, D., Van Der Zee, T., Houben, G.-J., &Paas, F. (2019). Supporting self-regulated learning in online learning environments and MOOCs: A systematic review. International Journal of Human–Computer Interaction, 35(4–5), 356–373. https://doi.org/10.1080/10447318.2018.1543084

[14] Zimmerman, B. J., & Schunk, D. H. (2011). Handbook of Self-Regulation of Learning and Performance. Routledge.