Data Fusion for Prediction of Variations in Students Grades

Author:

Teixeira RenataORCID,Marcondes Francisco S.ORCID,Lima Henrique,Durães DalilaORCID,Novais PauloORCID

Publisher

Springer Nature Switzerland

Reference16 articles.

1. Prasad, C., Gupta, P.: Educational impact on the society. Int. J. Novel Res. Educ. Learn. 7, 1–7 (2020). ISSN 2394–9686

2. Romero, C., Ventura, S.: Data Mining in Education. Data Mining and Knowledge Discovery, Wiley Interdisciplinary Reviews (2013)

3. Lahat, D., Adali, T., Jutten, C.: Multimodal data fusion: an overview of methods, challenges, and prospects. Proc. IEEE 103(9), 1449–1477 (2015)

4. Asar, S., Jalalpour, S., Ayoubi, F., Rahmani, M., Rezaeian, M.: PRISMA. Preferred Reporting Items for Systematic Reviews and Meta-Analyses. JRUMS (2016)

5. Qu, Y., Li, F., Li, L., Dou, X., Wang, H.: Can we predict student performance based on tabular and textual data? IEEE Access 10, 86008–86019 (2022)

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