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Exploring UsersInformation Source Selection and Use Strategies in Learning Related Search |
Song Xiaoxuan, Liu Chang |
Department of Information Management, Peking University, Beijing 100871 |
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Abstract With the volume of information increasing and online quality in question, it becomes more difficult for users to acquire appropriate information that satisfies their needs and enriches their knowledge by using search engines. When searching, usersinformation selection and subsequent use depend largely on information sources. A user experiment was conducted in order to design two kinds of tasks, one related to receptive learning and the other to critical learning. This study focused on the differences in the distribution of information source types during the usersprocess of source selection and use. It also explored the relationship between usersinformation source strategies and their learning outcomes. The results showed that users were more dependent on the information sources they ultimately selected rather than those recommended by search engines. According to the degree of dependence, four types of information source strategies were identified: total dependence, non-dependence, selective dependence, and use-dependence. We also found that usersinformation source strategies had significant impact on learning outcomes. Users adopting non-dependent strategies for receptive learning-related tasks, as well as those adopting total dependence strategies for critical learning-related tasks, could achieve better learning outcomes. This study contributes by clarifying the characteristics of usersinformation sources during selection and subsequent use in order to optimize search engine systems to improve userslearning outcomes by providing accurate and efficient guidance.
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Received: 26 December 2018
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