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脑机接口研究之演化及教育应用趋势的知识图谱分析——基于1985-2018年SCI及SSCI期刊论文研究 被引量:21

Mapping Knowledge Domains Analysis on Evolution of BCI and Potential Application in Educational Field:Based on Journals of SCI and SSCI from 1985 to 2018
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摘要 作为一项涉及到神经科学、心理认知科学、生物医学、计算机科学、通信技术等多门学科的交叉技术,脑机接口技术建立了人脑和计算机或技术装置直接交流的通信通道,这一技术的逐步成熟并显现出在未来教育领域巨大的应用潜力。脑机接口历史演化和研究现状表明:脑机接口在教育领域中的应用主要集中在学习者情感识别、注意力水平测量、教学质量测量等三方面;脑机接口的研究可以为学习设计、智慧学习环境创设提供实时、准确的学生状态信息,进而为学习者深度分析、个性化学习、自适应学习提供助力。脑机接口技术在未来具有广阔的应用和发展前景。 As a multi-disciplinary technology mentioned neuroscience, psychology and cognitive science, biomedical, computer science, communication technology, brain computer interface(BCI) technology established a directly communication channel between human brain and computer or other devices. The technology mature gradually showed the great potential and great prospects of appli-cation in the field of education in the future. Mapping knowledge domains analysis on evolution and research status of BCI show that:the application of BCI in education field mainly focuse on learners ' emotion recognition, attention level measurement, teaching quality measurement; The study of BCI can provide real-time, accurate student information for learning design and smart learning environ-ment, then provide power for deep analysis of learners, personalized learning and adaptive learning, which has a broad development prospect in the future.
作者 姜雷 张海 张岚 吴闯 孙启存 李海斌 Jiang Lei1,2,Zhang Hai2, Zhang Lan3 Wu Chuang1, Sun Qicun1, Li Haibin1(1 .Library, Northeast Normal University, Changchun Jilin 130024 ; 2.School of Media Science, Northeast Normal University, Changchun Jilin 130117 ;3.The Affiliated Hospital to Changchun University of Chinese Medicine, Changchun Jilin 130021)
出处 《远程教育杂志》 CSSCI 北大核心 2018年第4期27-38,共12页 Journal of Distance Education
基金 东北师范大学哲学社会科学校内青年基金项目"基于服务型图书馆的读者行为分析"(编号:13QN032)阶段性成果
关键词 脑机接口 BCI 脑科学 教育神经科学 知识图谱 大数据 智慧学习环境 学习通用设计 Brain Computer Interlace BCI Brain Science Educational Neuroscience Mapping Knowledge Domains Big Data Smart Learning Environment Universal Design tor Learning
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