A COMPUTER-ASSISTED LEARNING MODEL BASED ON THE DIGITAL GAME EXPONENTIAL REWARD SYSTEM
The aim of this research was to construct a motivational model which would stimulate voluntary and proactive learning using digital game methods offering players more freedom and control. The theoretical framework of this research lays the foundation for a pedagogical learning model based on digital games. We analyzed the game reward system, which is recognized as one of the most important mechanisms to engage players in active sustainable digital game playing. In general, the reward system is designed similar to an exponential learning model. This paper compares the reward systems of four typical digital games which have more than 10 million school-age players around the world. Based on the results, we propose a computer-assisted exponential learning model similar to that applied in digital game based learning models. By applying these results to educational algorithms associated with the field of artificial intelligence, we are able to motivate emergent learning. Using the proposed method, it is possible to form a model of computer-assisted learning, adequate for all learning levels.