Undergraduates' online search strategies and visual attention distribution

碩士 === 國立臺灣科技大學 === 數位學習與教育研究所 === 100 === The purpose of this study was to explore the relationship between the undergraduates’ online searching strategies and visual attention distribution by using eye-tracking technique. Thirty-one undergraduate subjects (20 males,11 females) participated in the...

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Bibliographic Details
Main Authors: Wan Yi Liu, 劉宛宜
Other Authors: Meng-Jung Tsai
Format: Others
Language:zh-TW
Published: 2012
Online Access:http://ndltd.ncl.edu.tw/handle/70432912116809764047
Description
Summary:碩士 === 國立臺灣科技大學 === 數位學習與教育研究所 === 100 === The purpose of this study was to explore the relationship between the undergraduates’ online searching strategies and visual attention distribution by using eye-tracking technique. Thirty-one undergraduate subjects (20 males,11 females) participated in the experiment in which they were asked to solve a task individually regarding the requirements for causing landslides. Participants’ visual attention distribution were measured with an eye-tracker. Students’ online searching strategies were assessed via a online information searching strategy inventory immediately after the online searching task. This study used independent/paired t-test and correlation analyses to examine the each research questions proposed in this study. Results of this study revealed that students with higher prior knowledge can better identify relevant information from websites. And students with better problem-solving performance were found to spend more time reading relevant online information. In addition, students with better evaluation strategy were found to integrate the relevant information more efficiently. Furthermore, a significant gender difference was found in their visual attention allocated on the task problem and on the first page of search results. Finally, overall, it was found that online search task was effective to improve the students' problem-solving performance. Base on the above results, this study suggested that teachers can train students problem-solving ability through online searching activities. Future studies also can use eye-tracking technique to deeply explore students’ visual attention distribution in different online searching task.