本研究之目的在運用眼動技術來探究大學生的線上搜尋策略與視覺注意力之間的關係。研究樣本為31名大學生(男生20人，女生11人)。本研究以土石流成因問題線上搜尋任務為實驗觀察歷程，以眼動儀器追蹤紀錄每位受試者在線上搜尋歷程中之視覺注意力，並且在搜尋任務結束後立即以線上搜尋策略量表檢測受試者的線上搜尋策略。本研究以獨立樣本T檢定、相依樣本T檢定和相關分析來檢驗各研究問題。研究結果發現，在線上搜尋歷程中，先備知識較高的學生比較能判斷篩選線上資訊，問題解決成效較好的學生花比較多時間閱讀與任務問題有關的網頁資訊內容，而資訊評估策略較好的學生則比能能有效地整合有關的網頁資訊內容。此外，性別對於閱讀任務問題及閱讀第一頁搜尋結果列時的視覺注意力分佈亦有顯著差異的發現，同時，線上搜尋歷程有助於提升整體學生線上資訊問題解決成效的表現。本研究建議未來教師在教學時可利用線上搜尋活動來訓練學生問題解決的能力。此外，未來研究可針對不同搜尋任務問題類型進行更深入的研究，以探究不同任務類型視覺注意力分佈的情形。

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.

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