Proceedings of the 9th international conference on Intelligent user interfaces
Digital Game-Based Learning
Porting an Intelligent Tutoring System across Domains
Proceedings of the 2007 conference on Artificial Intelligence in Education: Building Technology Rich Learning Contexts That Work
| Hi-index | 12.05 |
Using new game-based learning systems in college education is neither an easy nor a simple task. The aim of such systems is to keep attention, teach students or assess their knowledge through a game. With the aim of keeping students' attention through a game, in this paper we show the implementation of game-based learning systems with a pedagogical agent. We presents two models for assessing student's knowledge used by a pedagogical agent which is a part of the new class of Multimedia Interactive Modules for Learning - MIMLE. One of the models is used for activating the agent. It is realized as a window of Help option and built in accordance to Marcov decision process theory (MDP). The basic goal of this mode is to determine the minimal intervention of the agent towards making the right direction concerning the studying process based on simulation learning. With the second, long-term model, we have assessed student's knowledge in the current game level that is used to decide students should pass on to the next level of learning or if they should stay on the same level.