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篇名 脑机接口的智能化课堂教学应用研究
並列篇名 Research on Application of Brain-Computer Interface in Smart Classroom
作者 王朋利(WANG Pengli) 、柯清超(KE Qingchao) 、张洁琪(ZHANG Jieqi)
中文摘要 基于移动学习终端的智能化课堂学习数据分析多是基于教学互动和学习结果反馈等显性学习行为实现的,可穿戴的脑机接口设备能够测量学生的认知负荷、注意力、情感等内隐状态,为智能化课堂教学提供新的技术支持。本文构建了基于脑机接口的智能化课堂应用模型,通过脑机接口与移动终端的结合,实现师生教与学风格识别匹配、学习者脑波状态测量、教师教学行为智能化支持、学生复杂能力评测等智能化教学任务。为验证模型的可行性,本文开展了两项实证研究,验证基于脑机接口实现学习风格分类的可能性,分析了常态课堂教学中学生注意力特征,并基于学生教学活动的注意力特征提出课堂教学优化策略。
英文摘要 Currently, analyzing smart classroom learning data is mostly based on explicit learning behaviors such as teaching interactions and feedback on learning results. The implicit state of learners is insufficiently measured. The brain-computer interface technology can measure the implicit state of students, cognitive load, attention, emotion, etc. , and provide support for intelligent teaching. This paper proposes a smart classroom application model of the brain-computer interface. It combines brain-computer interface technology with mobile terminals to realize teaching and learning style recognition, teaching effect evaluation, improvement of teaching and research strategies, and student after-school remediation. To verify the feasibility of the model, we validate the possibility of implementing learning style classification based on BCI through empirical research and analyze the characteristics of students’ attention in normal classroom teaching and the level of attention in different teaching activities. BCI-based smart classroom teaching provides a brand-new teaching method to improve perspectives and approaches and has great development potential in classroom teaching.
頁次 072-081
關鍵詞 脑机接口 智能化课堂 学习风格 brain-computer interface smart classroom learning style CSSCI
卷期 26:1
日期 202002
刊名 開放教育研究
出版單位 上海遠程教育集團、上海電視大學
DOI 10. 13966/j. cnki. kfjyyj. 2020. 01.008