面向XR课程虚拟实验的AI智能评价模式构建与应用研究

打开文本图片集

中图分类号：G642 文献标识码：A文章编号：1672-3791（2026）03-0204-05

Research on the Construction and Application of Al Intelligent Evaluation Model for Virtual Experiments of XR Course

LI Runlin1，2 LIAO Yuan1，2* YIN Mingxu LIU Rui WEN Qiang

1.SchoolofIntellgenceTechnologyGelyUniversityofChina，Chengdu，SichuanProvince，641423Chna;2.tate

KeyLaboratoryof VirtualRealityTechnology and Systems，Beihang University，Beijing，1Oo191 China Abstract：With the indepth application of Artificial Inteligence（AI） technologies，particularly large language models，in educational practices，teaching evaluation in higher education is facing new opportunities for transformation. Aiming at the problems existing in the virtual experiment sesson of the XR Application Development course，such as asingle evaluation dimension，invisible process，delayed feedbackand insuficient personalized support，this paper systematicallyanalyzes the mainbotlenecks of the current traditional evaluation models.On this basis，it constructs an AI-driven inteligent evaluation model，incorporating comprehensivedata tracking，multidimensional capability analysis，and personalized feedback mechanisms，and puts forward the corresponding system architecture and design principles. Furthermore，from the perspectives of functional mechanism， indicator system and teaching scenario application， it explores the implementation processand strategic paths of this model.The research shows that this model notonly improves the scientificityand fairnessof virtual experiment evaluation，but alsoprovides teachers with precise teaching support，offering strong backing for the realization of teaching reforms oriented toward "evaluation-driven learning"and "competency-based education".Theresearch resultscanprovideatheoretical basis and practical reference for the inteligent reconstructionof the virtual experiment evaluation system in the XR Application Development course in universities.

Keywords：XR Application Development; Virtual experiment; Intellgent evaluation model; Artificial intellgence; Large model

近年来，人工智能（ArtificialIntelligence，AI）技术的快速发展，特别是以大语言模型为代表的生成式AI工具在教育领域的广泛应用，正深刻改变着传统课程教学和评价模式[1]。（剩余5438字）