Effects of Performance Clustering in User Modelling for Learning Style Knowledge Representation

Author:

Teoh Chin-Wei,Ho Sin-BanORCID,Dollmat Khairi Shazwan,Chai Ian,Mohd-Isa Wan-Noorshahida,Tan Chuie-Hong,Teh Sek-Kit,Raihan Manzoor Shahida

Publisher

Springer International Publishing

Reference18 articles.

1. Castro Hoyos, A.A., Velasquez, J.D.: Teaching analytics: current challenges and future development. IEEE J. Latin-Am. Learn. Technol. IEEE R. Iberoamericana Tecnologias Aprendizaje 15(1), 1–9 (2020). https://doi.org/10.1109/RITA.2020.2979245

2. Al Kurdi, B., Alshurideh, M., Salloum, S.A.: Investigating a theoretical framework for e-learning technology acceptance. Int. J. Electr. Comput. Eng. 10(6), 6484–6496 (2020)

3. Romero, C., Ventura, S.: Educational data mining and learning analytics: an updated survey. WIREs: Data Min. Knowl. Discov. 10(3), e1355 (2020). https://doi.org/10.1002/widm.1355

4. Salal, Y.K., Abdullaev, S.M., Kumar, M.: Educational data mining: student performance prediction in academic. Int. J. Eng. Adv. Technol. 8(4C), 54–59 (2019)

5. Lecture Notes in Computer Science;J Jasser,2017

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