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Learning from the Past: Using Peer Data to Improve Course Recommendations in Personalized Education

  • Missouri University of Science and Technology

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

Original languageEnglish
Title of host publicationProceedings - 2024 IEEE 48th Annual Computers, Software, and Applications Conference, COMPSAC 2024
EditorsHossain Shahriar, Hiroyuki Ohsaki, Moushumi Sharmin, Dave Towey, AKM Jahangir Alam Majumder, Yoshiaki Hori, Ji-Jiang Yang, Michiharu Takemoto, Nazmus Sakib, Ryohei Banno, Sheikh Iqbal Ahamed
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages127-137
Number of pages11
ISBN (Electronic)9798350376968
DOIs
StatePublished - 2024
Event48th Annual IEEE Computers, Software, and Applications Conference, COMPSAC 2024 - Osaka, Japan
Duration: Jul 2 2024Jul 4 2024

Publication series

NameProceedings - 2024 IEEE 48th Annual Computers, Software, and Applications Conference, COMPSAC 2024

Conference

Conference48th Annual IEEE Computers, Software, and Applications Conference, COMPSAC 2024
Country/TerritoryJapan
CityOsaka
Period7/2/247/4/24

ASJC Scopus Subject Areas

  • Artificial Intelligence
  • Computer Networks and Communications
  • Computer Science Applications
  • Software
  • Media Technology
  • Computational Mathematics
  • Education

Keywords

  • Q-learning
  • collaborative filtering
  • e-learning
  • recommender system
  • reinforcement learning

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