Data science for analyzing and improving educational processes

Shadi Aljawarneh; Juan A Lara

doi:10.1007/s12528-021-09299-7

Data science for analyzing and improving educational processes

J Comput High Educ. 2021;33(3):545-550. doi: 10.1007/s12528-021-09299-7. Epub 2021 Oct 29.

Authors

Shadi Aljawarneh¹, Juan A Lara²

Affiliations

¹ Software Engineering Department, Jordan University of Science and Technology, Irbid, Jordan.
² Escuela de Ciencias Técnicas e Ingeniería, Madrid Open University, UDIMA, Ctra. de la Coruña, km 38.500 - Vía de Servicio, 15 - 28400, Collado Villalba, Madrid Spain.

Abstract

In this full review paper, the recent emerging trends in Educational Data Science have been reviewed and explored to address the recent topics and contributions in the era of Smart Education. This includes a set of rigorously reviewed world-class manuscripts addressing and detailing state-of-the-art, frameworks and techniques research projects in the area of Data Science applied to Education, using different approaches such as Information Fusion, Soft Computing, Machine Learning, and Internet of Things, among others. Based on this systematic review, we have put some recommendations and suggestions for researchers, practitioners and scholars to improve their research quality in this area.

Keywords: Educational data mining; Educational data science; Educational processes; Learning analytics.

Publication types

Editorial