ABSTRACT
Although collaborative web-based tools are often used in blended environments such as education, little research has analysed the predictive power of face-to-face social connections on measurable user behaviours in online collaboration, particularly in diverse settings. In this paper, we use Social Network Analysis to compare users' pre-existing social networks with the quantity of their contributions to an online chat-based collaborative activity in a higher education classroom. In addition, we consider whether the amount of diversity present in one's social network leads to more online contributions in an anonymous cross-cultural collaborative setting. Our findings indicate that pre-existing social connections can predict how much users contribute to online education-related collaborative activities with diverse group members, even more so than academic performance. Furthermore, our findings suggest that future Web Science research should consider how the more traditionally 'qualitative' socio-cultural influences affect user participation and use of online collaborative tools.
- Schantl, J., et al., The utility of social and topical factors in anticipating repliers in Twitter conversations, in 3rd Annual ACM Web Science Conference. 2013: Paris, France. Google ScholarDigital Library
- Lu, D. and R. Farzan, Time to introduce myself!: Impact of self-disclosure timing of newcomers in online discussion forums, in 5th Annual ACM Web Science Conference. 2015: Oxford, UK.Google Scholar
- Ellison, N. B., et al., Cultivating social resources on social networking sites: Facebook relatinship maintenance behaviors and their role in social capital processes. Journal of Computer-Mediated Communication, 2014. 19(4): p. 855--870. Google ScholarDigital Library
- Moore, P. and G. Hampton, 'It's a bit of a generalisation, but...': Participant perspectives on intercultural group assessment in higher education. Assessment and Evaluation in Higher Education, 2015. 40(3): p. 390--406.Google Scholar
- Hall, D. and S. Buzwell, The problem of free-riding in group projects: Looking beyond social loafing as reason for non-contribution. Active Learning in Higher Education, 2013. 14(1): p. 37--49.Google Scholar
- Strijbos, J.-W. and M. F. de Laat, Developing the role concept for computer-supported collaborative learning: An explorative synthesis. Computers in Human Behavior, 2010. 26: p. 495--505. Google ScholarDigital Library
- Xing, W., B. Wadholm, and S. Goggins, Learning analytics in CSCL with a focus on assessment: An exploratory study of activity theory-informed cluster analysis, in Fourth International Conference on Learning Analytics and Knowledge. 2014: Indianapolis, USA. Google ScholarDigital Library
- Caspi, A., P. Gorsky, and E. Chajut, The influence of group size on nonmandatory asynchronous instructional disscussion groups. Internet and Higher Education, 2003. 6: p. 227--240.Google Scholar
- Capdeferro, N. and M. Romero, Are online learners frustrated with collaborative learning experiences? The International Review of Research in Open and Distance Learning, 2012. 13(2): p. 26--43.Google Scholar
- Popov, V., et al., Multicultural student group work in higher education: An explorative case study on challenges as perceive by students. International Journal of Intercultural Relations, 2012. 36: p. 302--317.Google Scholar
- Kimmel, K. and S. Volet, University students' perceptions of and attitudes towards culturally diverse group work: Does context matter? Journal of Studies in International Education, 2012. 16(2): p. 157--181.Google Scholar
- Summers, M. and S. Volet, Students' attitudes towards culturally mixed groups on international campuses: Impact of participation in diverse and non-diverse groups. Studies in Higher Education, 2008. 33(4): p. 357--370.Google Scholar
- Rienties, B., N. Johan, and D. Jindal-Snape, Bridge building potential in cross-cultural learning: A mixed method study. Asia Pacific Education Review, 2015. 16(1): p. 37--48.Google Scholar
- Gasevic, D., A. Zouaq, and R. Janzen, "Choose your classmates, your GPA is at stake!": The association of cross-class social ties and academic performance. American Behavioral Scientist, 2013. 57: p. 1460--1479.Google Scholar
- Skinner, C. W. and H. Beckham, Treadway Tire Company: John dissatisfaction and higher turnover at the Lima plant. Harvard Business School Brief Case 082--189, 2008.Google Scholar
- Wasserman, S. and K. Faust, Social network analysis: Methods and applications. 1994, Cambridge: Cambridge University Press.Google Scholar
- Rienties, B., P. Alcott, and D. Jindal-Snape, To let students self-select or not: that is the question for teachers of culturally diverse groups. Journal of Studies in International Education, 2014. 18(1): p. 64--83.Google Scholar
- Rienties, B., Y. Heliot, and D. Jindal-Snape, Understanding social learning relations of international students in a large classroom using social network analysis. Higher Education, 2013. 66: p. 489--504.Google Scholar
- Rienties, B. and I. Kinchin, Understanding (in)formal learning in an academic development programme: A social network pespective. Teaching and Teacher Education, 2014. 39: p. 123--135.Google Scholar
- House, R. J., et al., Culture, Leadership, and Organizations: The GLOBE Study of 62 Societies. 2004, Thousand Oaks, CA: Sage.Google Scholar
- Woods, P., M. Barker, and R. Hibbins, Tapping the benefits of multicultural group work: An exploratory study of postgraduate management students. International Journal of Educational Management, 2010. 9(2): p. 59--70.Google Scholar
Index Terms
- Using social network analysis to predict online contributions: the impact of network diversity in cross-cultural collaboration
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