Categorization of Learning Analytics Models: Brief Literature Review

Authors

  • Garamkhand Surendeleg Competency-Based Education Center
  • Uranchimeg Tudevdagva TU Chemnitz

DOI:

https://doi.org/10.14464/ess.v9i4.558

Abstract

Learning analytics is one of the technological tools aiming to investigate educational database collected during the learning delivery process for further purpose of use in decision making or process update. Various types of methods on learning analytics are originated by scholars with their own ambition to contribute the field study. It is emerging study field since 2010s. This paper review literature papers which focused on categorization of learning analytics models with focus of its’ criteria. The papers are chosen from open scholar databases. The selected papers reviewed learning analytics model related studies to bring up their suggested categorization. The category based on the learning analytics models’ main objective as well as used approach. It is observed that prediction of student achievement or success is significant method among learning analytics models.

LCL2022

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Published

2022-12-23