Models of Adaptive Learning System in MOOC: A Systematic Literature Review

Dwi Listriana Kusumastuti, Meyliana, Achmad Nizar Hidayanto, Harjanto Prabowo

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

In the current era, many sectors have changed, including the education sector. With the support of the development of technology and information, it has resulted in changes in business processes in the world of education. Switch from traditional learning models to electronic learning models. Providing learning with the same learning method mechanism for all individuals will reduce the individual's right to receive learning. So that the electronic learning model has shifted to a personal and open learning system, namely learning with the Massive Open Online Course (MOOC). Based on these conditions, appropriate models and techniques are needed to achieve student-oriented learning. The purpose of this study is to identify and classify general criteria for adaptive learning system models in the MOOC system. The method used in this research is through literature studies on papers published in the last five years (2016-2020). The results showed a general model that is often used as a basis for developing adaptive learning, so that it can be used for further research and development.

Original languageEnglish
Title of host publication2021 9th International Conference on Information and Education Technology, ICIET 2021
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages242-246
Number of pages5
ISBN (Electronic)9781665419338
DOIs
Publication statusPublished - 27 Mar 2021
Event9th International Conference on Information and Education Technology, ICIET 2021 - Okayama, Japan
Duration: 27 Mar 202129 Mar 2021

Publication series

Name2021 9th International Conference on Information and Education Technology, ICIET 2021

Conference

Conference9th International Conference on Information and Education Technology, ICIET 2021
CountryJapan
CityOkayama
Period27/03/2129/03/21

Keywords

  • Adaptive learning system
  • Models
  • MOOC
  • personalized

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