The ability to access and process massive amounts of online information is required in many learning situations. In order to develop a better understanding of student online search process especially in academic contexts, an online tool (SCOOP) is developed for tracking mouse behavior on the web to build a more extensive account of student web search processes. Over 100 university students' search activities with SCOOP were recorded as they searched for answers to assigned questions. The primary use of the SCOOP dataset is thus to provide the raw data for the development of online information search models. Further complications will arise because other personal and contextual factors affect the search process for different students with different personalities, learning styles or types of tasks. Hence, the dataset is also for testing the relationship between other factors and online search processes.