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

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.