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在线测评中的学习者眼动行为分析——以浙江工业大学的眼动实验为例 被引量:7

Research on the Learners' Eye Movement Behavior in Online Testing ——Taking the Eye Movement Experiment in Zhejiang University of Technology for Example
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摘要 文章使用TobiiEyeX眼动仪实时记录在线测评环境下学习者答题的眼动行为数据,对涉及的17种眼动指标进行数据分析,探索了学习者在测试时的视觉注意模式和眼动行为轨迹特点。通过针对浙江工业大学20名硕士研究生的眼动实验,文章发现:在线测试中,题目类型和难度都会影响被试的视觉注意,且题目类型的影响更大;不同组别被试的视觉注意模式存在差异;在不同类型的题目中,被试的视觉注意力分配存在差异。研究在线测评中学习者的眼动行为,有助于预测学习者的答题情况,并为未来多模态生物数据表征研究提供参考。 In this paper, the Tobii Eye X eye tracker was used to record the real-time eye movement behavior data of learners' answers in the online testing environment, and further the concerned 17 kinds of eye movement indexs were analyzed to explore the learners' visual attention pattern and the characteristics of eye movement track. Through the eye movement experiment of twenty postgraduate students in Zhejiang University of Technology, it was found that the type and difficulty of questions affected the participants' visual attention, and the influence of the type of questions on participants' visual attention was greater. Meanwhile, there was difference in the visual attention pattern for different groups of participants. In addition, there was difference in the distribution of visual attention for different types of question. Researching on the learners' eye movement behavior in online testing was conducive to predicting students' answer performances and providing reference for the furture characterization study of multimodality biological data.
作者 江波 王小霞 刘迎春 高明 JIANG Bo;WANG Xiao-xia;LIU Ying-chun;GAO Ming(College of Education Science and Technology,Zhejiang University of Technology,Hangzhou,Zhejiang,China 310023)
出处 《现代教育技术》 CSSCI 北大核心 2018年第5期19-25,共7页 Modern Educational Technology
基金 国家自然科学基金青年基金项目"基于多目标稀疏优化的多视图聚类方法"(项目编号:61503340) 浙江省自然科学基金青年基金项目"多视图聚类的进化多目标优化"(项目编号:LQ16F030008)资助
关键词 视觉注意 眼动行为 在线测评 visual attention eye movement behavior online testing
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