中国医学教育技术2025，Vol.39Issue(3)：359-369,11.DOI:10.13566/j.cnki.cmet.cn61-1317/g4.202503012
多维度特征视域下"人工智能+"学习行为识别研究
Research of learning behavior recognition of"artificial intelligence+"based on multi-dimensional features
摘要
Abstract
With the arrival of the era of digital intelligence,the recognition of students'learn-ing behavior based on artificial intelligence becomes more and more important to the improvement of teaching quality.However,due to the spatial and temporal isolation of teaching,the variance of stu-dents'classroom behaviors,and the high complexity of learning environment,the recognition of stu-dents'learning behavior is still an open question.Therefore,based on multi-dimensional features,this study uses graph bibliometric analysis and literature review to explore the ecology of student's learning behavior research of higher education at home and abroad,continuously tracks the dynamic context,combines horizontal and vertical analysis,and unifies static analysis and dynamic analysis,so as to provide evidence-based basis for the innovation of traditional teaching evaluation system by digi-tal intelligence technology.关键词
多维度特征/学习行为识别/人工智能/文献计量学/综述Key words
multi-dimensional features/learning behavior recognition/artificial intelligence/bibliometrics/literature review分类
社会科学引用本文复制引用
吕东芳,魏晓彤..多维度特征视域下"人工智能+"学习行为识别研究[J].中国医学教育技术,2025,39(3):359-369,11.基金项目
国家自然科学基金青年项目"基于生命早期多模态虚拟诊疗路径建构的交互思维智能评估框架研究"(72204267) （72204267）
中国医科大学"十四五"第一批医学教育科学研究课题"学习分析视角下教学互动对医学生自主学习的改革策略构建" （）
