Abstract: Background: Learning Analytics (LA) and Educational Data Mining (EDM) have emerged as research and application areas with great potential to transform teaching and learning processes. These approaches enable the collection, analysis, and interpretation of large volumes of educational data, with the aim of better understanding the phenomena related to education and proposing improvements.
Materials and Methods....
Keywords: Learning Analytics; Educational Data Mining; Qualitative approach; Bibliographic research; Teaching and learning processes
[1].
Weinstein, Y., Madan, C. R., & Sumeracki, M. A. (2018). Teaching The Science Of Learning. Cognitive Research: Principles And Implications, 3(2). Https://Doi.Org/10.1186/S41235-017-0087-Y.
[2].
Nobre, A. J. P. (2021). Use Of Learning Analytics And Educational Data Mining To Support Pedagogical Decisions During The Application Of The Tbl Methodology. Monograph (Undergraduate In Software Engineering). University Of Brasília. Brasília: University Of Brasília - Unb Faculty Unb Gama.
[3].
Filatro, A. (2023). Instructional Design For Teachers. São Paulo: Senac. Isbn: 978-8539639526.
[4].
Ozyurt, O., Ozyurt, H., & Mishra, D. (2023). Uncovering The Educational Data Mining Landscape And Future Perspective: A Comprehensive Analysis. Ieee Access, 11, 120192-120208. Issn: 2169-3536. Https://Doi.Org/10.1109/Access.2023.3327624.
[5].
Defalco, J. A., Rowe, J. P., Paquette, L., Georgoulas-Sherry, V., Brawner, K., Mott, B. W., Baker, R. S., & Lester, J. C. (2018). Detecting And Addressing Frustration In A Serious Game For Military Training. International Journal Of Artificial Intelligence And Education, 28(2), 152-193