[1]刘 智,方常丽,刘三女牙,等.物理学习空间中学习者情绪感知研究综述[J].远程教育杂志,2019,(02):033-44.[doi:10.15881/j.cnki.cn33-1304/g4.2019.02.005]
 Liu Zhi,Fang Changli,Liu Sannyuya,et al.A Review of Physical Learning Spaces Oriented Learners’ Emotion Perception Research[J].Distance Education Journal,2019,(02):033-44.[doi:10.15881/j.cnki.cn33-1304/g4.2019.02.005]
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物理学习空间中学习者情绪感知研究综述()
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《远程教育杂志》[ISSN:1006-6977/CN:61-1281/TN]

卷:
期数:
2019年02期
页码:
033-44
栏目:
前沿探索
出版日期:
2019-03-21

文章信息/Info

Title:
A Review of Physical Learning Spaces Oriented Learners’ Emotion Perception Research
作者:
刘 智; 方常丽; 刘三女牙; 孙建文
1.华中师范大学 教育大数据应用技术国家工程实验室,湖北武汉 430079;2.华中师范大学 教育信息技术协同创新中心,湖北武汉 430079;3.华中师范大学 国家数字化学习工程技术研究中心,湖北武汉 430079
Author(s):
Liu Zhi; Fang Changli; Liu Sannyuya; Sun Jianwen
1. National Engineering Laboratory for Educational Big Data, Central China Normal University, Wuhan Hubei 430079;2. Collaborative Innovation Center for Educational Technology, Central China Normal University, Wuhan Hubei 430079;3.National Engineering Research Center for E-Learning, Central China Normal University, Wuhan Hubei 430079
关键词:
情绪感知传感器可穿戴技术生理信号学习分析智能教育
Keywords:
Emotion Perception Sensor Wearable Technology Physiological Signals Learning Analytics Intelligence Education
分类号:
G420
DOI:
10.15881/j.cnki.cn33-1304/g4.2019.02.005
文献标志码:
A
摘要:
在“人—技”协同进化的教育发展态势下,学习者的学习方式和交互环境正面临深刻变革,物理空间内的学习支持服务亟待重塑。近年来,研究者们致力于采用传感器获取学习者的生理行为数据,结合学习分析技术推测其情绪状态,并以适当的干预机制来提高积极情绪唤醒度进而助力于个体学业成功。当前,物理学习空间中学习者情绪感知的主要手段(人工观察法、自我报告法、基于生理信号、语音信号、面部表情信号以及眼动信号的感知方法)和应用研究案例(智能导师系统、虚拟学习同伴、情绪互动支持、自我调节能力评估、学情分析监控)。对物理学习空间中学习者情绪感知的研究可为未来学习空间的重塑带来新的研究视角和参照。
Abstract:
Under the educational development of “human-technology” co-evolution, learners’ learning styles and interactive environments are facing profound transformations; Thus, the learning support services in physical spaces need to be reshaped urgently. In recent years, researchers have focused on using sensor technology to collect learners’ physiological and behavioral data, combining learning analytics to infer their emotional states, and adopting appropriate intervention mechanisms to improve the positive emotional arousal and academic success. Currently, the main methods of learners’ emotion perception (artificial observational and self-report methods, perception methods based on physiological signals, speech signals, facial expression signals and eye movement signals)and five typical cases (intelligent tutoring system, virtual learning companion, emotional interaction support, self-regulated capability assessment and learning situation analysis monitoring) are pointed out to provide a novel research insight for the future re-construction of the physical learning spaces.

备注/Memo

备注/Memo:
基金项目:本文受国家自然科学基金项目“多场景网络学习中基于‘行为-情感-主题’联合建模的学习者兴趣挖掘关键技术研究(项目编号:61702207);国家重点研发计划课题“数据驱动的数字教育个性化服务支撑技术研究”(项目编号:2017YFB1401303);教育部人文社会科学研究项目“高校慕课环境下的互动话语行为及其对学习效果的影响机理研究(项目编号:16YJC880052)资助。
更新日期/Last Update: 1900-01-01