Game-Theoretic Approach to Group Learning Enhancement through Peer-to-Peer Explanation and Competition

Seyede Fatemeh Noorani, Mohammad Hossein Manshaei, Mohammad Ali Montazeri, Quanyan Zhu

Research output: Contribution to journalArticle

Abstract

Learners may not be motivated to actively participate in the stages of learning. This paper aims to motivate learners to get effectively involved in the learning process; i.e., they learn both directly from an instructor and by learning from and teaching each other in an interactive manner. Hence, we introduce a game with a purpose (GWAP) that motivates learners to become involved in the learning process to effectively improve their learning performance. In order to meet the mentioned objective, this paper proposes a Game-Theoretic Approach based on Explanation and Competition (G-TEC) which uses competitive learning and explanatory techniques. In this game, the learners are encouraged to compete for more beneficial explanations of educational concepts. We also use rewards and punishments as a means of encouraging learners to provide efficient explanations. We then apply game theoretic concepts to analyze the defined parameters in the proposed game for a Nash Equilibrium (NE) that leads learners to have stronger motivations for providing good explanations. The statistical analysis of experimental results using the Student’s t-test indicates that the proposed game drives the learners to participate actively in different learning stages, and helps them to improve their knowledge more efficiently.

Original languageEnglish (US)
JournalIEEE Access
DOIs
StateAccepted/In press - Sep 19 2018

Fingerprint

Statistical methods
Teaching
Students

Keywords

  • Competitive Learning
  • Dynamic Reward and Punishment
  • Game Theory
  • Peer Learning

ASJC Scopus subject areas

  • Computer Science(all)
  • Materials Science(all)
  • Engineering(all)

Cite this

Game-Theoretic Approach to Group Learning Enhancement through Peer-to-Peer Explanation and Competition. / Noorani, Seyede Fatemeh; Manshaei, Mohammad Hossein; Montazeri, Mohammad Ali; Zhu, Quanyan.

In: IEEE Access, 19.09.2018.

Research output: Contribution to journalArticle

Noorani, Seyede Fatemeh ; Manshaei, Mohammad Hossein ; Montazeri, Mohammad Ali ; Zhu, Quanyan. / Game-Theoretic Approach to Group Learning Enhancement through Peer-to-Peer Explanation and Competition. In: IEEE Access. 2018.
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