A Personalized Game-based Learning System with Evenly Matched Competition Strategies

Abstract

Appropriate challenge and uncertain outcome are ke y 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 pape r, we present a personalized game-based learning system, which is adaptive to different stu dent game status, to engage different students in evenly matched competition during the g ame. The system adopts a competitive race game with drill and practice of four fundament al operations of arithmetic. The system adaptively adjusts virtual opponent competence and uncertain game factors, the generated numbers for operation, to keep the competition even ly matched for different students. This paper presents the implementation of virtual oppone nt and adaptation mechanisms of the system.