State of Art of Data Mining and Learning Analytics Tools in Higher Education

Authors

  • Mohammed Salihoun EMSI the High School of engineering group

DOI:

https://doi.org/10.3991/ijet.v15i21.16435

Keywords:

Learning Analytics, LMS, Big Data, Educational Data Mining, Text Mining.

Abstract


In this decade, the use of learning management systems (LMS) does not cease to increase, becoming one of the most popular approaches adopted and widely used in the learning process. Learners' online activities generate a huge amount of unused data that is wasted because traditional learning analyses are not able to process them. In this regard, a large collection of applications/tools have emerged to conduct research in educational data mining (EDM) and / or learning analysis (LA). This study looks into the recent applications/tools of Big Data technologies in education and presents some of the most widely used, accessible, and powerful tools in this field of research. The majority of these tools are for researchers with the purpose of conducting research on educational data mining and learning analysis.

Author Biography

Mohammed Salihoun, EMSI the High School of engineering group

SMARTiLab laboratory

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Published

2020-11-16

How to Cite

Salihoun, M. (2020). State of Art of Data Mining and Learning Analytics Tools in Higher Education. International Journal of Emerging Technologies in Learning (iJET), 15(21), pp. 58–76. https://doi.org/10.3991/ijet.v15i21.16435

Issue

Section

Papers