现代教育技术2026，Vol.36Issue(9)：34-44,11.DOI:10.3969/j.issn.1009-8097.2026.09.004
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
Construction and Practical Application of an Adaptive Assessment Model for Digital Game Learning Based on the Disciplinary Knowledge Graph
摘要
Abstract
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.关键词
数字化游戏学习/自适应学习/学习评估/学科知识图谱Key words
digital game-based learning/adaptive learning/learning assessment/subject knowledge graph分类
社会科学引用本文复制引用
张洁,苗永岱,张晶..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[J].现代教育技术,2026,36(9):34-44,11.基金项目
本文为2026年度吉林省科技厅科技发展计划重点研发课题"职前教师智能教育素养螺旋进阶培育关键技术研究与应用示范"(项目编号:20260201091GX)的阶段性研究成果. （项目编号:20260201091GX）
