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The Study on the Roles in the Practical Applying Oriented Asynchronous Collaborative Learning Network

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Blended Learning. New Challenges and Innovative Practices (ICBL 2017)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 10309))

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Abstract

Asynchronous collaborative learning network (ACLN) makes the process of collaboration learning more convenient. In ACLN there are various roles, e.g., group leader, group member including positive member and negative member etc. They play different parts in group learning, especially each person. This work explored how the personal member enact relationship in the regular collaborative learning and influence the direction of the group, and how their interaction is enabled and constrained by personal role. This study considers four aspects of ACLN: the design, cohesion, roles and power network structures. The design is evaluated by the Social Interdependence Theory of Cooperative Learning. The network structures are analyzed by Social Network Analysis of the response relations among participants during online discussions. After analyzing data for three years from one ACLN academic university courses, we found that the knowledge construction process reached the setting aim and developed cohesive cliques in ACLN.

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Acknowledgments

This work is supported by 2014 Guangzhou philosophy and social science “12th Five-Year” planning project (14Y15), the National Science Foundation of China (Grant No. 61370229), the National Key Technology R&D Program of China (Grant No. 2014BAH28F02), and the S&T Projects of Guangdong Province (Grant No. 2014B010117007, 2015B010109003, 2015B010110002, 2016B010109008).

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Correspondence to Bo Liu .

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© 2017 Springer International Publishing AG

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Liu, B., Cui, H., Liu, X., Huang, C. (2017). The Study on the Roles in the Practical Applying Oriented Asynchronous Collaborative Learning Network. In: Cheung, S., Kwok, Lf., Ma, W., Lee, LK., Yang, H. (eds) Blended Learning. New Challenges and Innovative Practices. ICBL 2017. Lecture Notes in Computer Science(), vol 10309. Springer, Cham. https://doi.org/10.1007/978-3-319-59360-9_26

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  • DOI: https://doi.org/10.1007/978-3-319-59360-9_26

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-59359-3

  • Online ISBN: 978-3-319-59360-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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