眼动
任务(项目管理)
计算机科学
眼球运动
焦虑
心理学
选择(遗传算法)
认知心理学
视觉搜索
人工智能
精神科
经济
管理
作者
Meng‐Jung Tsai,An‐Hsuan Wu
标识
DOI:10.1016/j.compedu.2021.104236
摘要
Online information problem solving (OIPS) is essential for 21st century information literacy which often requires information selection competencies. However, students usually have problems in discriminating information from complex web sources. This study, utilizing eye-tracking technology, aims to examine the relationships among learners' visual search patterns, information anxiety and OIPS task performance in web search contexts. In this study, 46 university students volunteered to participate in a web search task for solving a landslide problem. Student’ visual behaviors were recorded by eye-trackers during the task and information anxiety was self-reported immediately after the task. Reaction time and task performance were also recorded and scored. Pearson's correlation analyses, multiple regression analyses, cluster analyses and lag sequential analyses (LSA) were conducted. The results show that learners' eye-tracking measures, information anxiety, and task performances are significantly correlated in OIPS. Students' visual attention paid onto irrelevant web information can significantly and positively predicts their information anxiety, but negatively predicts their task performance. Additionally, based on eye-tracking measures and reaction time, three visual search patterns are identified: Confused, Slow-thinking and Fast-thinking. The LSA results further show that different information selection and attentional control strategies are utilized by different groups, especially when discriminating the relevancy of web information. This study bridges the associations among eye-tracking measures, information anxiety and task performances in OIPS contexts. Future studies are suggested to analyze eye-tracking data using cluster analyses plus LSAs to profile online learners' characteristics in terms of visual search or information processing patterns.
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