A Comprehensive Survey on Deep Learning Techniques in Educational Data Mining

arXiv:2309.04761v3 Announce Type: replace
Abstract: Educational Data Mining (EDM) has emerged as a vital field of research, which harnesses the power of computational techniques to analyze educational data. With the increasing complexity and diversity of educational data, Deep Learning techniques have shown significant advantages in addressing the challenges associated with analyzing and modeling this data. This survey aims to systematically review the state-of-the-art in EDM with Deep Learning. We begin by providing a brief introduction to EDM and Deep Learning, …

abstract advantages analyze arxiv challenges complexity computational cs.cy cs.ir cs.lg data data mining deep learning deep learning techniques diversity educational mining power research survey type vital