基于学科知识图谱的数字化游戏学习自适应评估模型构建与实践应用OA

With the application of digital games in education and teaching,game-based assessment has become an research direction.However,existing studies pay insufficient attention to the adaptivity of learning activities,resulting in deficiencies in the dynamism and personalization of assessment methods.Therefore,integrating research findings on game-based learning assessment and adaptive assessment,this paper constructs an adaptive assessment model for digital game-based learning with the disciplinary knowledge graph as its theoretical core.In this model,the disciplinary knowledge graph serves as the organizing network for knowledge,questions,and contextual tasks within the digital game-based learning environment.The comprehensive assessment system provides a methodological roadmap for assessment adaptivity,and the adaptive behavior layer realizes the principles and core logic of adaptive assessment.This paper further embeds the model into a self-developed educational game platform for practical application,which verifies its effectiveness and provides theoretical and methodological support for research and practice in game-based learning.