Modeling Games for Adaptive and Personalized Learning: The A-GREM

Abstract

The potential of the adaptive games in the education is yet to be explored. This type of artifacts can increase the multiple benefits reported by the integration of digital games in educational processes, by adding up the advantages of delivering an experience tailored to the individual requirements of the learner. Unfortunately, the adoption of adaptive educational games in the practice is limited due to the difficulty of their implementation, which usually requires the application of techniques and skills related to several areas as pedagogy, game design, adaptive instructional systems, and artificial intelligence. Due to this difficulty, it is essential to carefully examine and evaluate the adaptation approach that best suits each educational process in order to ensure the efficacy of the personalization mechanism to implement. In this work, we present a conceptual model of adaptive educational games that supports this process of reflection and analysis required at the game design stage. The model supports the description of flexible game designs that can accommodate a wide range of adaptations and provides an abstraction layer over the technical details that allows its use by non-expert game designers like educators.