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International Conference on Electronic Governance and Open Society: Challenges in Eurasia

EGOSE 2019: Electronic Governance and Open Society: Challenges in Eurasia pp 308–319Cite as

Using of Automatically and Semi-automatically Generated Diagrams in Educational Practice

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Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1135))

Abstract

Maps and diagrams have long been used by science and education. The results and achievements of geography, astronomy, biology, economics have always been presented in the form of maps. Modern methods and tools of network science allow to deeper understand collaboration because relations between agents of activity are represented as a map. For many collaborative educational systems maps of relations between agents and activity products are built automatically. However, these diagrams are not used in educational practice as tools for better learning. The paper provides examples of how the diagrams were used in educational practice in order to support a group reflection of collaborative activities.

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References

  1. Luke, D.A.: A User’s Guide to Network Analysis in R. UR. Springer, Cham (2015). https://doi.org/10.1007/978-3-319-23883-8

    Book  MATH  Google Scholar 

  2. DeChurch, L.A., Mesmer-Magnus, J.R.: Measuring shared team mental models: a meta-analysis. Group Dyn. Theory Res. Pract. 14, 1–14 (2010). https://doi.org/10.1037/a0017455

    Article  Google Scholar 

  3. Gama, J., Passos, P., Davids, K., et al.: Network analysis and intra-team activity in attacking phases of professional football. Int. J. Perform. Anal. Sport 14, 692–708 (2014). https://doi.org/10.1080/24748668.2014.11868752

    Article  Google Scholar 

  4. Kröckel, P., Piazza, A., Neuhofer, K.: Dynamic network analysis of the Euro2016 final: preliminary results. In: 2017 5th International Conference on Future Internet of Things and Cloud Workshops (FiCloudW), pp. 114–119 (2017)

    Google Scholar 

  5. Huerta-Quintanilla, R., Canto-Lugo, E., Viga-de Alva, D.: Modeling social network topologies in elementary schools. PLoS ONE 8, e55371 (2013)

    Article  Google Scholar 

  6. Barabási, A.-L.: Network Science. Cambridge University Press, Cambridge (2016). Committee on Network Science for Future Army Applications, National Research Council: Network Science. The National Academies Press (2005)

    MATH  Google Scholar 

  7. Mehra, A., Borgatti, A., Soltis, S., et al.: Imaginary worlds: using visual network scales to capture perceptions of social networks. In: Borgatti, S., Brass, D., Halgin, D., Labianca, G., Mehra, A. (eds.) Contemporary Perspectives on Organizational Social Networks, pp. 315–336. Emerald Group Publishing Limited, Bingley (2014)

    Chapter  Google Scholar 

  8. Wasserman, S., Faust, K.: Social Network Analysis: Methods and Applications, 1st edn. Cambridge University Press, Cambridge (1994)

    Book  Google Scholar 

  9. Schwartz, D.L.: The productive agency that drives collaborative learning. In: Dillenbourg, P. (ed.) Collaborative Learning: Cognitive and Computational Approaches, pp. 197–218. Elsevier Science/Permagon (1999)

    Google Scholar 

  10. Schwartz, D.L., Lin, X.: Computers, productive agency, and the effort after shared meaning. J. Comput. High Educ. 12, 3–33 (2001). https://doi.org/10.1007/BF02940954

    Article  Google Scholar 

  11. Börner, K., Palmer, F., Davis, J.M., et al.: Teaching children the structure of science. In: IS&T/SPIE Electronic Imaging, p. 724307. International Society for Optics and Photonics (2009)

    Google Scholar 

  12. Fontana, M., Terna, P.: From Agent-based models to network analysis (and return): the policy-making perspective. University of Turin (2015)

    Google Scholar 

  13. Epstein, J.M., Axtell, R.: Growing Artificial Societies: Social Science from the Bottom Up. The Brookings Institution, Washington, DC, USA (1996)

    Book  Google Scholar 

  14. Epstein, J.M.: Generative Social Science: Studies in Agent-Based Computational Modeling. Princeton University Press, Princeton (2007)

    Google Scholar 

  15. Epstein, J.M.: Agent_Zero: Toward Neurocognitive Foundations for Generative Social Science. Princeton University Press, Princeton (2014)

    Book  Google Scholar 

  16. Resnick, M.: Turtles, Termites, and Traffic Jams: Explorations in Massively Parallel Microworlds. MIT Press, Cambridge (1997)

    Google Scholar 

  17. Patarakin, E.D.: Wikigrams-based social inquiry. In: Levin, I., Tsybulsky, D. (eds.) Digital Tools and Solutions for Inquiry-Based STEM Learning, pp. 112–138. IGI Global, Hershey (2017)

    Chapter  Google Scholar 

  18. Burov, V., Patarakin, E., Yarmakhov, B.: A crowdsourcing model for public consultations on draft laws. In: Proceedings of the 6th International Conference on Theory and Practice of Electronic Governance, pp. 450–451. ACM, New York (2012)

    Google Scholar 

  19. Wickham, H., Grolemund, G.: R for Data Science: Import, Tidy, Transform, Visualize, and Model Data. O’Reilly Media Inc., Sebastopol (2016)

    Google Scholar 

  20. Tyner, S., Briatte, F., Hofmann, H.: Network visualization with ggplot2. R J. 9, 27 (2017)

    Article  Google Scholar 

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Author information

Authors and Affiliations

  1. Moscow City University, Moscow, Russia

    Evgeny Patarakin & Vasiliy Burov

Authors
  1. Evgeny Patarakin
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  2. Vasiliy Burov
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Corresponding author

Correspondence to Evgeny Patarakin .

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Editors and Affiliations

  1. ITMO University, St. Petersburg, Russia

    Andrei Chugunov

  2. Russian Academy of National Economy and Public Administration, St. Petersburg, Russia

    Igor Khodachek

  3. University of Leeds, Leeds, UK

    Yuri Misnikov

  4. ITMO University, St. Petersburg, Russia

    Dmitrii Trutnev

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Patarakin, E., Burov, V. (2020). Using of Automatically and Semi-automatically Generated Diagrams in Educational Practice. In: Chugunov, A., Khodachek, I., Misnikov, Y., Trutnev, D. (eds) Electronic Governance and Open Society: Challenges in Eurasia. EGOSE 2019. Communications in Computer and Information Science, vol 1135. Springer, Cham. https://doi.org/10.1007/978-3-030-39296-3_23

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  • DOI: https://doi.org/10.1007/978-3-030-39296-3_23

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-39295-6

  • Online ISBN: 978-3-030-39296-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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