Automatic time-based learning type analysis towards dynamic personalization

Kusuma Ayu Laksitowening, Harry Budi Santoso, Zainal A. Hasibuan

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

Abstract

E-Learning personalization enables system to present learning strategy based on individual learning type. In directing the personalization, the system should identify the learning type of the course participants. The learning type then will become the reference on arranging the appropriate learning strategy. Commonly, the learning type is analyzed once in the beginning of semester. Thus, the learning strategy is given with the assumption that learning type of each learner is constant. In contrast to previous studies, our research considers that learning type may change overtime and learning strategy also need adjustment to the current conditions of the learner. Therefore, the time-based analysis is necessary to acquire the detailed information related to learner's progress over time and learning type changes. This research extracted activity log from e-Learning system to identify learning type of each learner using The Tripe-Factor Approach. Our proposed system integrates automatic scheduled learning type analysis module into existing e-Learning system. Those mechanisms enable system to obtain comprehensive view of learners' behaviour and to readjust the personalized learning strategy according to learning type changes.

Original languageEnglish
Title of host publicationProceedings of the 3rd International Conference on Informatics and Computing, ICIC 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781538669204
DOIs
Publication statusPublished - 1 Oct 2018
Event3rd International Conference on Informatics and Computing, ICIC 2018 - Palembang, Indonesia
Duration: 17 Oct 201818 Oct 2018

Publication series

NameProceedings of the 3rd International Conference on Informatics and Computing, ICIC 2018

Conference

Conference3rd International Conference on Informatics and Computing, ICIC 2018
CountryIndonesia
CityPalembang
Period17/10/1818/10/18

Keywords

  • E-Learning
  • Learning type
  • Personalization
  • Time-based

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