Active Choice Is Tendency of Players: Case Studies of Motivation Classification in the Motivation Behavior Games

To assess the motivation level of player interest is difficult; many instruments are potentially biased, unreliable and invalid test. Whereas, in serious game is important to know the motivation level. If the motivation level can be measured well, the mastery learning can be achieved. Mastery learning is the core of the learning process in serious game. To classify the motivation level of players, researchers propose a Motivation Behavior Game (MBG). MBG improves this motivation concept to monitor how players interact with the game. This game employs Learning Vector Quantization (LVQ) for optimizing the motivation behavior input classification of the player. Training data in LVQ use data observation from the teacher. Populations of motivation behavior classification in this research are pupils when playing the game. Mostly players Motivation Behavior Game have motivation behavior category are Active Choice. Some of them have Mental Effort category, and a few included in the group Persistence. Thus, the general level of interest of the player is still to trial.