Year: 2025
Type: article
Abstract: In the context of global digital transformation, the increase in the amount of educational data is the driving force behind modern technological methods applied in educational analysis, notably the application of deep learning in predicting student outcome. Given its potential to mitigate academic challenges and foster positive educational outcomes, the prediction of student learning outcomes emerges as a pivotal research area within educational data mining, capturing the interest of researchers worldwide. This article presents an overview of the application of deep learning in educational data analysis, with a special focus on the problem of predicting student learning outcomes. Some modern research trends in educational science based on data analysis techniques are also mentioned.
Author: Nguyen Thi Kim Son
Language: English
Subfield: Computer Science Applications
Field: Computer Science
Domain: Physical Sciences
SDG: Quality education
Open Access status: diamond
OpenAlex ID: W4416125694
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