Abstract
This paper reports student interaction patterns and self-reported results of using Twitter microblogging environment. The study employs longitudinal probabilistic social network analysis (SNA) to identify the patterns and trends of network dynamics. It is building on earlier works that explore associations of student achievement records with the observed network measures. It integrates gender as an additional variable and reports some relation with interaction patterns. Additionally, the paper reports the results of a questionnaire that enables further discussion on the communication patterns.
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References
Ullrich, C., Borau, K., Luo, H., Tan, X., Shen, L., Shen, R.: Why web 2.0 is good for learning and for research: principles and prototypes (2008)
Haythornthwaite, C.: Social Network Methods and Measures for Examining E-learning. Social Networks (2005)
Borau, K., Ullrich, C., Feng, J., Shen, R.: Microblogging for Language Learning: Using Twitter to Train Communicative and Cultural Competence, p. 87 (2009)
Stepanyan, K., Borau, K., Ullrich, C.: A Social Network Analysis Perspective on Student Interaction Within the Twitter Microblogging Environment. In: The 10th IEEE International Conference on Advanced Learning Technologies, Sousse, Tunisia (2010)
Wellman, B., Berkowitz, S.D.: Social structures: A Network Approach. Elsevier Science & Technology Books (1997)
Wasserman, S., Faust, K.: Social Network Analysis: Methods and Applications. Cambridge University Press, Cambridge (1994)
Reffay, C., Chanier, T.: How social network analysis can help to measure cohesion in collaborative distance-learning, Designing for change in networked learning environments. In: Proceedings of the International Conference on Computer Support for Collaborative Learning, pp. 343–352 (2003)
MartÃnez, A., Dimitriadis, Y., Rubia, B., Gómez, E., De la Fuente, P.: Combining qualitative evaluation and social network analysis for the study of classroom social interactions. Computers & Education 41, 353–368 (2003)
Snijders, T.A.B.: The Statistical Evaluation of Social Network Dynamics. Sociological Methodology 31, 361–395 (2001)
Steglich, C., Snijders, T.A.B., West, P.: Applying SIENA: An Illustrative Analysis of the Coevolution of Adolescents’ Friendship Networks, Taste in Music, and Alcohol Consumption. Methodology 2, 48–56 (2006)
Snijders, T.A.B., Steglich, C.E.G., Schweinberger, M., Huisman, M.: Manual for SIENA, version 3. University of Groningen, Groningen (2006)
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Ullrich, C., Borau, K., Stepanyan, K. (2010). Who Students Interact With? A Social Network Analysis Perspective on the Use of Twitter in Language Learning. In: Wolpers, M., Kirschner, P.A., Scheffel, M., Lindstaedt, S., Dimitrova, V. (eds) Sustaining TEL: From Innovation to Learning and Practice. EC-TEL 2010. Lecture Notes in Computer Science, vol 6383. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-16020-2_33
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DOI: https://doi.org/10.1007/978-3-642-16020-2_33
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-16019-6
Online ISBN: 978-3-642-16020-2
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