«State of the art data mining in education. Learning Analytics»

Cristóbal Romero Morales

Universidad de Córdoba

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Abstract

The application of data mining in education / learning analytics (educational data mining / learning analytics) is a topic of great interest nowadays due to the large amount of information that can be collected by different teaching systems on the interaction with students. students. In this talk, this research area will be introduced, which can already be considered to be in its mature state after eleven years of the first congress on EDM and eight of the LA. It will begin by defining the different terms used (EDM, LA, AA, EDS, BDE, etc.) and highlighting the few differences that exist between them. The practical application process will continue to be described, seeing the actors involved and the different types of data most used. The main techniques used to solve the different problems in educational environments, the most used software tools and the currently existing public datasets will be shown below. Finally, the main bibliography on the subject will be listed: most cited papers, most important books and surveys.

Bio

Professor of Computer Science and Artificial Intelligence at the Universidad de Córdoba and member of the research group KDIS (Knowledge Discovery and Intelligent Systems). He has published more than 40 articles in journals with impact index/JCR and more than 50 communications in international conferences, several special issues in prestigious journals, five books (one of them, the first book published on “data mining in e-learning” and another the Handbook of EDM) and eight books’ chapters. Lecturer and organizer of international events on data mining, educational technology and artificial intelligence. He has been pre-selected as ISI Highly Cited Research by Thomson Reuters on two occasions, 2012 and 2013, in the area of Computer Science. Senior member of IEEE and five other international societies, member of the scientific committee of more than 50 congresses, several research networks and reviewer in many international journals, being currently associate editor in the journal IEEE-TLT.

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