增强现实教育应用研究中的多模态学习分析  

Analysis of Multimodal Learning in Augmented Reality Education Application

作　　者：刘潇 王志军 薛彬 LIU Xiao;WANG Zhijun;XUE Bin(Department of Education,Tianjin Normal University,Tianjin 300387;School of Computer and Information Technology,Cangzhou Jiaotong College,Cangzhou 061100,Hebei,China)

机构地区：[1]天津师范大学教育学部,天津300387 [2]沧州交通学院计算机与信息技术学院,河北沧州061100

出　　处：《实验室研究与探索》2024年第3期111-116,223,共7页Research and Exploration In Laboratory

基　　金：全国教育科学“十四五”规划2021年度教育部青年课题(ECA210407)。

摘　　要：采用系统性文献综述法,收集来自Springer、SAGE、ERIC和CNKI等数据库的增强现实(AR)教育应用相关文献,从“数据来源”“评价指标”和“数据整合方式”对AR教育应用研究中多模态学习分析的应用情况做出解释并提出改进措施,以期通过优化学习分析手段更好地揭示AR学习的本质。研究发现,在相关研究中,多模态学习分析数据来源以文本测量为主,较为单一;评价指标基本涵盖多个维度,对较为复杂的思维水平缺少观测;数据整合方式多倾向于“一对一”,缺乏科学性。未来研究应努力实现数据来源在线化、评价指标高阶化以及整合方法关联化。The literature review method is adopted to collect AR education application from Springer,SAGE,ERIC and CNKI databases,to explain the application of multimodal learning analytics in the research of augmented reality(AR)education application in terms of“data sources”,“evaluation indexes”,and“data integration methods”,and to put forward the improvement measures,so as to better reveal the nature of AR learning by means of optimizing learning analytics.It is found that in related studies,the data source of multimodal learning analysis is mainly textual measurement,which is relatively single;the evaluation indicators basically realizes multidimensionality,but lacks the observation of the more complex thinking level;and the data integration method tends to be one-to-one,which is lack of scientificity.Future research should strive to realize online data sources,higher-order evaluation indicators,and related integration methods.

关 键 词：增强现实 多模态学习分析 系统性文献综述 评价指标 数据整合 

分 类 号：G43[文化科学—教育学]