AMEG: Adaptive mechanism for educational games based on IMSLD and artificial intelligence

Video games are very well known for their engaging and immersive capacities as well as motivation enhancement. Recently, we have witnessed their use in different serious areas such as education. Educational games must ensure an effective educational experience as well as an entertaining gameplay for each kind of player/learner. Most commercial video games adapt the playing experience to the player by using different artificial intelligence algorithms. In this paper we will propose an adaptive mechanism, which is constituted of two bricks, the first one, `AI brick´ will adapt the gameplay based on the player´s playing style personal decisions and performance in the game. The second one, `IMSLD brick´ will be based on IMSLD elements to adapt the learning content depending on the learner´s knowledge and learning style. Thus, ensuring both fun and effective educational experience at the same time.