眼动
计算机科学
BitTorrent跟踪器
人机交互
可视化
计算思维
集合(抽象数据类型)
人工智能
跟踪(教育)
接口(物质)
光学(聚焦)
数据科学
最大气泡压力法
程序设计语言
并行计算
气泡
心理学
物理
光学
教育学
作者
Fengfeng Ke,Ruohan Liu,Zlatko Sokolikj,Ibrahim Dahlstrom‐Hakki,Maya Israel
标识
DOI:10.1007/978-3-030-77414-1_16
摘要
This paper presents a conceptual discussion of the theoretical constructs and perspectives in relation to using eye tracking as an assessment and research tool of computational thinking. It also provides a historical review of major mechanisms underlying the current eye-tracking technologies, and a technical evaluation of the set-up, the data capture and visualization interface, the data mining mechanisms, and the functionality of freeware eye trackers of different genres. During the technical evaluation of current eye trackers, we focus on gauging the versatility and accuracy of each tool in capturing the targeted cognitive measures in diverse task and environmental settings—static versus dynamic stimuli, in-person or remote data collection, and individualistic or collaborative learning space. Both theoretical frameworks and empirical review studies on the implementation of eye-tracking suggests that eye-tracking is a solid tool or approach for studying computational thinking. However, due to the current constraints of eye-tracking technologies, eye-tracking is limited in acting as an accessible and versatile tool for tracking diverse learners’ naturalistic interactions with dynamic stimuli in an open-ended, complex learning environment.
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