• Dr.Divya Kashyap

Educational Data Mining could be a analysis field that focuses on the applying of machine learning, information mining and statistical methods to detect patterns in massive collections of instructional information. Various machine learning techniques area unit applied throughout this field over the years, but it’s been recently that Deep Learning has gained increasing attention among the academic domain. Deep Learning may well be a machine learning technique supported neural network architectures with multiple layers of method units, that has been successfully applied to a broad set of problems among the areas of image recognition and language method. This paper surveys the analysis dole out in Deep Learning techniques applied to [EDM], from its origins to the current day. The most goals of this study to square measure to spot the [EDM] tasks that have benefited from Deep Learning and people that square measure unfinished to be explored, to explain the main data sets used, to produce an outline of the key ideas, main architectures, and configurations of Deep Learning and its applications to EDM, and to debate current progressive and future directions on this space of analysis.

EDM, Deep learning, Natural Language processing, Machine Learning etc

"Deep Learning in the field of Education ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.7, Issue 4, page no.1441-1446, April-2020, Available :http://www.jetir.org/papers/JETIR2004395.pdf

"Deep Learning in the field of Education ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.7, Issue 4, page no. pp1441-1446, April-2020, Available at : http://www.jetir.org/papers/JETIR2004395.pdf