Abstract
The Internet has become the most important information source for students; however, most students lack adequate search processes and search abilities when solving problems using Web search. Current Web search with a single-user environment does not require students to seek assistance in solving their problem. Therefore, how to use information problem solving model to help students solve problems is an emerging issue, and integrated collaborative Web technologies with a suitable model is a key solution. We propose a novel collaborative search system, and it develops the knowledge base of an expert system by organizing the problem of the students. The experimental data were conducted with 36 students at a college school in Northern Taiwan. The results show that collaborative search benefits college student information gathering and improves search processes and search abilities.
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Su, A.Y.S., Huang, C.S.J., Ding, T.J., Huang, A.F.M., Yang, S.J.H., Hsieh, Y.Z. (2014). Collaborative Search Research in College Computer Courses. In: Yuizono, T., Zurita, G., Baloian, N., Inoue, T., Ogata, H. (eds) Collaboration Technologies and Social Computing. CollabTech 2014. Communications in Computer and Information Science, vol 460. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-44651-5_13
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DOI: https://doi.org/10.1007/978-3-662-44651-5_13
Publisher Name: Springer, Berlin, Heidelberg
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