This study used eye-tracking technology to track students’ eye movements while searching information on the web. The research question guiding this study was “Do students with different search performance levels have different visual attention distributions while searching information online? If yes, what are the patterns for high and low performing searchers?” 14 university students in Macau were invited to search an answer online for the question: “After you clean a glass with tap water, why are there always some water drops remaining in the glass surface?” A Tobii Pro X2-30 remote eye tracker was used for data collection. Two students with the highest and lowest search task scores were selected for comparisons in their online search behavior and eye-movement patterns. The high-performing student worked more in revising search queries, and reading and assessing the information in the selected webpages for its relevance. Search patterns showed that the high-performing student tended to switch more frequently between search query box and search result page whereas the low-performing student tended to switch between the search result and selected web page. This implied that the high-performing student was more metacognitively engaged by revisiting and revising search queries to improve the quality of search results.