Learning support through personalized review material recommendations

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Recent enrichment of digital learning environments has made it possible to obtain learning logs (data) on learners' learning behavior. In this situation, it is possible to recommend learning contents which are appropriate for individual learner by analyzing learning data. Our study develops a learning support system which recommends personalized review materials based on the results of quizzes and learning activities recorded by e-textbooks. In this paper, we explain the details of the system and report experimental results.

Original languageEnglish
Title of host publicationICCE 2020 - 28th International Conference on Computers in Education, Proceedings
EditorsHyo-Jeong So, Ma. Mercedes Rodrigo, Jon Mason, Antonija Mitrovic, Michelle P. Banawan, Mas Nida BT MD Khambari, Ali Dewan, Swapna Gottipati, Mohammed Nehal Hasnine, Madathil Warriem Jayakrishnan, Bo Jiang, Morris Jong, Kazuaki Kojima, Jenilyn L. Agapito, Ping Li, Tatsunori Matsui, Hiroaki Ogata, Patcharin Panjaburee, Rustam Shadiev, Han-Yu Sung, Thepchai Supnithi, Ahmed Tlili, Charoenchai Wongwatkit, Chengjiu Yin
PublisherAsia-Pacific Society for Computers in Education
Pages137-143
Number of pages7
ISBN (Electronic)9789869721462
Publication statusPublished - Nov 23 2020
Event28th International Conference on Computers in Education, ICCE 2020 - Virtual, Online
Duration: Nov 23 2020Nov 27 2020

Publication series

NameICCE 2020 - 28th International Conference on Computers in Education, Proceedings
Volume2

Conference

Conference28th International Conference on Computers in Education, ICCE 2020
CityVirtual, Online
Period11/23/2011/27/20

All Science Journal Classification (ASJC) codes

  • Computer Science (miscellaneous)
  • Computer Science Applications
  • Education

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