A survey on data-driven approaches in educational games

Danial Hooshyar, Chanhee Lee, Heui Seok Lim

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

Abstract

Open-ended educational systems such as games have been broadly under investigation in recent years due to their potential in making learning enjoyable and offering the adaptive pedagogy of intelligent tutoring systems. The most important challenge in building such systems is to predict individual behavior which results in better understanding of the learning process. Model-based methods are a standard way to learn individual behavior in highly-structured systems. However, these methods heavily rely on expert domain knowledge. Since adaptive educational games may create a huge space of actions, applying model-based approaches in these systems are very difficult. In order to counter this difficulty, researchers utilize data-driven methods that are not dependent on expert domain knowledge to learn a subject's behavior based on a history of user interactions. Due to the fact that the potential of applying data-driven approaches in adaptive educational games is still missing, the goal of this report is to cater a survey in the area in order to ease comprehending the state of the art.

Original languageEnglish
Title of host publicationProceeding - 2016 2nd International Conference on Science in Information Technology, ICSITech 2016: Information Science for Green Society and Environment
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages291-295
Number of pages5
ISBN (Electronic)9781509017218
DOIs
Publication statusPublished - 2017 Feb 13
Event2nd International Conference on Science in Information Technology, ICSITech 2016 - Balikpapan, Indonesia
Duration: 2016 Oct 262016 Oct 27

Other

Other2nd International Conference on Science in Information Technology, ICSITech 2016
CountryIndonesia
CityBalikpapan
Period16/10/2616/10/27

Fingerprint

Intelligent systems

Keywords

  • data-driven approaches
  • educational games
  • user modeling formatting

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Computer Science Applications
  • Information Systems
  • Signal Processing

Cite this

Hooshyar, D., Lee, C., & Lim, H. S. (2017). A survey on data-driven approaches in educational games. In Proceeding - 2016 2nd International Conference on Science in Information Technology, ICSITech 2016: Information Science for Green Society and Environment (pp. 291-295). [7852650] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICSITech.2016.7852650

A survey on data-driven approaches in educational games. / Hooshyar, Danial; Lee, Chanhee; Lim, Heui Seok.

Proceeding - 2016 2nd International Conference on Science in Information Technology, ICSITech 2016: Information Science for Green Society and Environment. Institute of Electrical and Electronics Engineers Inc., 2017. p. 291-295 7852650.

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

Hooshyar, D, Lee, C & Lim, HS 2017, A survey on data-driven approaches in educational games. in Proceeding - 2016 2nd International Conference on Science in Information Technology, ICSITech 2016: Information Science for Green Society and Environment., 7852650, Institute of Electrical and Electronics Engineers Inc., pp. 291-295, 2nd International Conference on Science in Information Technology, ICSITech 2016, Balikpapan, Indonesia, 16/10/26. https://doi.org/10.1109/ICSITech.2016.7852650
Hooshyar D, Lee C, Lim HS. A survey on data-driven approaches in educational games. In Proceeding - 2016 2nd International Conference on Science in Information Technology, ICSITech 2016: Information Science for Green Society and Environment. Institute of Electrical and Electronics Engineers Inc. 2017. p. 291-295. 7852650 https://doi.org/10.1109/ICSITech.2016.7852650
Hooshyar, Danial ; Lee, Chanhee ; Lim, Heui Seok. / A survey on data-driven approaches in educational games. Proceeding - 2016 2nd International Conference on Science in Information Technology, ICSITech 2016: Information Science for Green Society and Environment. Institute of Electrical and Electronics Engineers Inc., 2017. pp. 291-295
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