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Network Analysis of Collective Actions on Digital Educational Objects

Theory and Practice of Educating and Upbringing , UDC: 371.683:004 DOI: 10.25688/2076-9121.2019.50.4.09

Authors

  • Patarakin Evgeniy Dmitrievich
  • Svetlana Vachkova

Annotation

The paper proposes a reduction in the variety of situations of joint activities to a gener­alized scheme that allows for the comparison and study of such situations using social net­work analysis methods. The authors examine the cases of network analysis of collaborative activities on the educational wiki portal Letopisi.org, the digital storytelling portal studios Scratch.mit.edu, the educational policy discussion portal preobra.ru, document sharing sites inside school Google Suites, and the repository of educational scripts in the «Moscow electronic school» (MES).

How to link insert

Patarakin, E. D. & Svetlana, V. . (2019). Network Analysis of Collective Actions on Digital Educational Objects Bulletin of the Moscow City Pedagogical University. Series "Pedagogy and Psychology", 2019, №4 (50), 101-112. https://doi.org/10.25688/2076-9121.2019.50.4.09
References
1. Barabasi A.-L. Network Science. Cambridge University Press, 2016. 474 p.
2. Blackwell A.F. Thinking with diagrams. Dordrecht; Boston: Kluwer Academic Publishers, 2001.
3. Blikstein P., Krannich D. The Makers' Movement and FabLabs in Education: Ex­periences, Technologies, and Research // Proceedings of the 12th International Conference on Interaction Design and Children. New York, NY, USA: ACM, 2013. P. 613-616.
4. Borner K. Plug-and-play macroscopes // Communications of the ACM. 2011. Vol. 54. № 3. P. 60-69.
5. Borner K. Visual analytics in support of education // Proceedings of the 2nd Interna­tional Conference on Learning Analytics and Knowledge. ACM, 2012. P. 2-3.
6. DeChurch L.A., Mesmer-Magnus J.R. Measuring shared team mental models: A meta-analysis // Group Dynamics: Theory, Research, and Practice. 2010. Vol. 14. № 1. P. 1-14.
7. Gama J. et al. Network analysis and intra-team activity in attacking phases of pro­fessional football // International Journal of Performance Analysis in Sport. 2014. Vol. 14. № 3. P. 692-708.
8. Huerta-Quintanilla R., Canto-Lugo E., Viga-de Alva D. Modeling social network topologies in elementary schools // PloS one. 2013. Vol. 8. № 2. P. e55371.
9. Kramer S., Ljungberg C. Thinking with Diagrams: The Semiotic Basis of Human Cognition. Walter de Gruyter GmbH & Co KG, 2016. 309 p.
10. 10. Krockel P., Piazza A., Neuhofer K. Dynamic Network Analysis of the Euro2016 Final: Preliminary Results // 2017 5th International Conference on Future Internet of Things and Cloud Workshops (FiCloudW). 2017. P. 114-119.
11. 11. Patarakin E.D. Wikigrams-Based Social Inquiry // Digital Tools and Solutions for Inquiry-Based STEM Learning. IGI Global, 2017. Vol. 1. P. 112-138.
12. 12. Patarakin E. et al. Management of Collaboration Based on the Analysis of Social Structure // Chugunov A., Bolgov R., Kabanov Y., Kampis G., Wimmer M. (eds.) Digital Transformation and Global Society. DTGS 2016. Communications in Computer and Infor­mation Science. Cham: Springer International Publishing, 2016. Vol. 674. P. 344-349.
13. 13. Patarakin E., Burov V., Remorenko I. Scaffolding Educational Community of Prac­tice Using Visual Storytelling // Proceedings of the 10th International Conference on Theory and Practice of Electronic Governance. New York, NY, USA: ACM, 2017. P. 355-358.
14. 14. Patarakin E., Burov V., Yarmakhov B. Computational Pedagogy: Thinking, Partici­pation, Reflection // Digital Turn in Schools — Research, Policy, Practice / ed. T. Valjataga, M. Laanpere. Springer Singapore, 2019. P. 123-137.
15. 15. Rosnay J. de. The macroscope: A new world scientific system. 1st edition. New York: Harper & Row, 1979. 247 p.
16. 16. Wickham H. ggplot2: Elegant Graphics for Data Analysis. 2nd ed. 2016 edition. New York, NY: Springer, 2016. 276 p.
17. 17. Wilkinson L. et al. The Grammar of Graphics. 2nd edition. New York: Springer, 2005. 691 p.
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