AI-Enabled Serious Games: Integrating Intelligence and Adaptivity in Training Systems
A recent chapter investigates the potential of artificial intelligence to tackle ongoing issues in serious games utilized for education and training in sectors such as healthcare, defense, and education. Presently, these serious games face challenges like unchanging scenario designs, obstacles in content creation, insufficient learner modeling, and complications in applying real-time instructional adjustments. Advances in AI technology provide opportunities for dynamic scenario changes, contextual feedback, adaptive pacing, and improved learner-state modeling. Nonetheless, the incorporation of AI prompts worries regarding validity, transparency, system oversight, and learner confidence. The chapter highlights instructional intelligence—the ability of a system to deduce learner knowledge and evaluate teaching methods—as a crucial element, examining how modern AI can facilitate real-time adaptation while addressing these issues.
Key facts
- Serious games are used in healthcare, defense, and education.
- Persistent challenges include static scenario design, authoring bottlenecks, limited learner modeling, and difficulty with real-time instructional adaptation.
- AI advances offer dynamic scenario variation, contextual feedback, adaptive pacing, and learner-state modeling.
- AI integration raises questions about validity, transparency, system control, and learner trust.
- The chapter distinguishes instructional intelligence as a system's capacity to infer learner knowledge and reason about pedagogical approaches.
- The chapter examines how contemporary AI approaches may support real-time instructional adaptation in serious games.
Entities
Institutions
- arXiv