Trends on Communication, Educational Assessment, Educational Innovation, Identity, Smart Learning, and Doctoral Consortium at TEEM 2023
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-97-1814-6_75
Reference71 articles.
1. Mokhtar, S., Alshboul, J.A.Q., Shahin, G.O.A.: Towards data-driven education with learning analytics for educator 4.0. In: Journal of Physics: Conference Series, vol. 1339, p. 012079 (2019). https://doi.org/10.1088/1742-6596/1339/1/012079
2. Nouri, J., et al.: Efforts in Europe for data-driven improvement of education – a review of learning analytics research in seven countries. Int. J. Learn. Anal. Artif. Intell. Educ. 1, 8 (2019). https://doi.org/10.3991/ijai.v1i1.11053
3. Kaliisa, R., Kluge, A., Mørch, A.I.: Overcoming challenges to the adoption of learning analytics at the practitioner level: a critical analysis of 18 learning analytics frameworks. Scand. J. Educ. Res. 66, 367–381 (2022). https://doi.org/10.1080/00313831.2020.1869082
4. Knight, S., Friend Wise, A., Chen, B.: Time for change: why learning analytics needs temporal analysis. J. Learn. Anal. 4 (2017). https://doi.org/10.18608/jla.2017.43.2
5. Conde, M.Á., Hernández-García, Á., Chaparro-Peláez, J.: Learning analytics: moving on? In: TEEM 2021: Ninth International Conference on Technological Ecosystems for Enhancing Multiculturality (TEEM 2021), pp. 583–586 (2021). https://doi.org/10.1145/3486011.3486519
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