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Empirical Study of Collaborative Learning Knowledge Management System for Thai Students

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Industrial Engineering, Management Science and Applications 2015

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 349))

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Abstract

This paper deliberates about the design of the prototype model of the online collaborative learning system for introductory Structural Analysis and Design course. The model of collaborative learning system has been developed in pursuance of supporting the collaborative learning activities in virtual environment. A design of a structure model for an online collaborative learning system has been constructed for the sake of sustaining the online collaborative learning activities in a virtual environment. The methodology of this study consists of three processes which are data collection, system analysis & design and system implementation. Initially, a set of questionnaire was conducted to a sample group including one hundred of second- year students from Modern Management and Information Technology program at Chiang Mai University (CMU), Chiang Mai, Thailand. The students were selected to be respondents during the data collection process. The analysis results from the questionnaires will reveal the students’ interests, learning styles and preferences in learning Structural Analysis and Design course for the online system development. The results have illustrated significant correlation proving that the online application has been essential and helpful for the students to achieve better results in Structural Analysis and Design course.

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Correspondence to Krittawaya Thongkoo .

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© 2015 Springer-Verlag Berlin Heidelberg

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Thongkoo, K., Thongkhu, C. (2015). Empirical Study of Collaborative Learning Knowledge Management System for Thai Students. In: Gen, M., Kim, K., Huang, X., Hiroshi, Y. (eds) Industrial Engineering, Management Science and Applications 2015. Lecture Notes in Electrical Engineering, vol 349. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-47200-2_18

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  • DOI: https://doi.org/10.1007/978-3-662-47200-2_18

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-662-47199-9

  • Online ISBN: 978-3-662-47200-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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