A personalized game-based learning system with evenly matched competition strategies

Chih Yueh Chou, Shao Pin Lu, Zhi Hong Chen

Research output: Contribution to conferencePaperpeer-review

Abstract

Appropriate challenge and uncertain outcome are key factors of motivating game based learning systems; that is, these systems attempt to keep students uncertain to win or lose until the end of the game. In this paper, we present a personalized game-based learning system, which is adaptive to different student game status, to engage different students in evenly matched competition during the game. The system adopts a competitive race game with drill and practice of four fundamental operations of arithmetic. The system adaptively adjusts virtual opponent competence and uncertain game factors, the generated numbers for operation, to keep the competition evenly matched for different students. This paper presents the implementation of virtual opponent and adaptation mechanisms of the system.

Original languageEnglish
Pages751-754
Number of pages4
Publication statusPublished - 2012
Externally publishedYes
Event20th International Conference on Computers in Education, ICCE 2012 - Singapore, Singapore
Duration: 2012 Nov 262012 Nov 30

Other

Other20th International Conference on Computers in Education, ICCE 2012
Country/TerritorySingapore
CitySingapore
Period2012/11/262012/11/30

Keywords

  • Adaptivity
  • Evenly matched competition
  • Personalized game-based learning system
  • Virtual opponent

ASJC Scopus subject areas

  • Computer Science (miscellaneous)
  • Education

Fingerprint

Dive into the research topics of 'A personalized game-based learning system with evenly matched competition strategies'. Together they form a unique fingerprint.

Cite this