Design and Implementation of an AI-Enhanced Heuristic Learning System in a Virtual Realm
Xiaozhu Wang, Shengzhuo Liu, Paul Adams · 2024
This paper explores how artificial intelligence (AI) and Virtual Reality (VR) technology can be integrated with heuristic learning methods in a virtual realm. Heuristic learning emphasizes the promotion of deeper understanding and internalization of knowledge through discovery, problem-solving, and practice. This paper outlines AI-enhanced heuristic learning strategies, highlighting how AI integration enables customized learning paths, immersive simulation environments, intelligent feedback and evaluation, auxiliary functions, and data-driven insights. The designed system structure includes modules for data collection, feature engineering, model training and deployment, knowledge base creation, and user interface. Examples of intelligent learning companions demonstrate the practical application of AI-assisted tools in providing real-time heuristic guidance and personalized support in animation design courses. Through experimental comparative analysis, it is concluded that combining heuristic methods with AI-supported environments can enhance the learning experience of students, providing valuable insights for future courses in terms of participation, efficiency, customization, and knowledge internalization.