同伴互动的认知神经机制研究分析与未来展望  被引量:3

Analysis of Cognitive Neural Mechanisms of Peer Interaction and Future Prospects

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作  者:王宇 陈晨 杨韵莹 郑娅峰 董艳[1] WANG Yu;CHEN Chen;YANG Yunying;ZHENG Yafeng;DONG Yan(School of Educational Technology,Beijing Normal University,Beijing 100875;Melbourne Graduate School of Education,The University of Melbourne,Melbourne Australia 3010;School of Computer and Information Engineering,Henan University of Economics and Law,Zhengzhou Henan 450016)

机构地区:[1]北京师范大学教育技术学院,北京100875 [2]墨尔本大学教育研究生院,澳大利亚墨尔本3010 [3]河南财经政法大学计算机与信息工程学院,河南郑州450016

出  处:《电化教育研究》2022年第2期26-33,共8页E-education Research

基  金:2021年度国家自然科学基金面上项目“STEM教育情境下同伴互动的脑协同机制及策略研究”(项目编号:62177011);2019年度河南省高校科技创新人才支持计划(人文社科类)“在线教育中学生交互行为分析研究”(项目编号:2020-cx-030)。

摘  要:同伴互动是人类获取知识的重要途径,揭示其内在学习机制与规律对优化学习策略、提升学习效果具有积极意义。认知神经科学为大脑交互研究提供了基础,打破了以往无法解释互动学习模式的认知黑箱,为多维视角探究同伴互动的内在机制提供了跨学科研究的新路径。研究通过探寻同伴互动的认知科学神经基础与技术应用,揭示出现有研究聚焦于发现或验证单一互动行为的神经指标、复杂互动行为背后人际脑同步指标及其影响因素。已有成果为聚焦以学生为中心的教学实践提供融合生理、心理和行为三者模态数据的有效根据,为教师优化学生协作学习的策略提供科学、精准的依据。最后,作者从数据融合、情境聚焦、设备研发、方法整合等方面对未来研究进行了展望。Peer interaction is an important way for human beings to acquire knowledge,and revealing its intrinsic learning mechanisms and rules is of positive significance for optimizing learning strategies and improving learning outcomes.Cognitive neuroscience provides the basis for the study of brain interaction,breaking the cognitive black box that previously could not explain the interactive learning patterns,and providing a new multidisciplinary approach to explore the intrinsic mechanism of peer interaction from a multidisciplinary perspective.By exploring the foundations and technological applications of cognitive neuroscience of peer interaction,this study illuminates that existing studies focus on the discovery or validation of neural indicators of single interactive behaviors,interpersonal brain synchronization indicators behind complex interactive behaviors and their influencing factors.The results provide a valid basis for the integration of physiological,psychological,and behavioral modal data for student-centered teaching practice,and provide a scientific and accurate basis for teachers to optimize their strategies for student collaborative learning.Finally,future study is prospected from data fusion,contextual focus,gadget development,and methodological integration.

关 键 词:同伴互动 认知神经机制 神经影像技术 人际脑交互 协作学习 

分 类 号:G434[文化科学—教育学]

 

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