多媒体学习中的认知负荷:测量方法与技术纵览  

Cognitive Load in Multimedia Learning:An Overview of Measurement Methods and Technologies

作　　者：王国华[1] 聂胜欣 薛瑞鑫 WANG Guohua;NIE Shengxin;XUE Ruixin(Department of Education,Henan Normal University,Xinxiang Henan 453000)

机构地区：[1]河南师范大学教育学部,河南新乡453000

出　　处：《电化教育研究》2022年第4期19-25,54,共8页E-education Research

基　　金：2021年度教育部人文社会科学研究青年项目“多模态生理数据驱动的在线学习认知负荷测评模型及方法研究”(项目编号:21YJC880072);2020年度河南省哲学社会科学研究青年项目“在线学习社区中知识共享的动力机制及仿真研究”(项目编号:2020CJY042)。

摘　　要：认知负荷是在线学习及多媒体学习领域研究的焦点问题,如何科学、有效地测量学习者的认知负荷是相关研究开展的基础,更是减少学习者认知资源消耗、提升学习成效的关键。文章以国内外近20年来的301篇实证研究论文为基础,使用客观—因果二维四象限分类法对不同类型的认知负荷测量方法与技术进行分类,并对相关测量方法与技术的理论假设、优点及不足进行分类评述,并得出些许启示。通过分析发现,不同测量方法各有优劣并具有互补性,基于认知科学和信息科学的测量方法值得重点关注,深度学习技术会成为未来认知负荷测量的关键技术。Cognitive load is the focus of research in the field of online and multimedia learning.How to measure learners’cognitive load scientifically and effectively is the basis for relevant research,and is also the key to reducing the consumption of learners’cognitive resource and improving learning effectiveness.Based on 301 empirical research papers in the past two decades at home and abroad,this paper uses the objective-causal two-dimensional four-quadrant classification method to classify different types of cognitive load measurement methods and techniques,and reviews the theoretical hypotheses,advantages and disadvantages of related measurement methods and technologies,and draws some insights.Through analysis,it is found that different measurement methods have their own advantages and disadvantages and are complementary to each other.Measurement methods based on cognitive science and information science are worthy of focus.Deep learning technology will become the key technology of cognitive load measurement in the future.

关 键 词：多媒体学习 在线学习 认知负荷 测量方法 测量技术 

分 类 号：G434[文化科学—教育学]