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Identifying sets of key players and cliques in socio-educational co-creative projects

Published: 24 November 2015 Publication History

Abstract

The paper presents a new form of network collaboration -- the socio-educational projects as an activity that aims not only to better management, but also the formation of links between actors and objects of collaboration. Learning analytics and diagrams methodology helps to analyze and discuss situations that arise during co-creative projects. Our contribution makes agent-based model which help identify social objects that initiate the emergence of relations between actors, identify key actors and biggest cliques of actors, identify network characteristics of different types of participants.

References

[1]
V. Zwass, "Co-Creation: Toward a Taxonomy and an Integrated Research Perspective," Int. J. Electron. Commerce, vol. 15, no. 1, pp. 11--48, 2010.
[2]
UNESCO, ICT Competency Standarts for Teachers: Policy Framework. Paris, 2008.
[3]
V. Burov, E. Patarakin, and B. Yarmakhov, "A crowdsourcing model for public consultations on draft laws," in Proceedings of the 6th International Conference on Theory and Practice of Electronic Governance, New York, NY, USA, 2012, pp. 450--451.
[4]
J. Dewey, Democracy and Education. Paradigm Publishing, 2014.
[5]
E. Patarakin, V. Burov, and R. Parfenov, "Learning Analytics for Mixed E-Governance-E-Learning Projects," in Proceedings of the 2014 Conference on Electronic Governance and Open Society: Challenges in Eurasia, New York, NY, USA, 2014, pp. 34--37.
[6]
D. Schneider, B. Class, K. Benetos, M. Lange, D. Schneider, B. Class, K. Benetos, and M. Lange, "Requirements for learning scenario and learning process analytics," presented at the World Conference on Educational Multimedia, Hypermedia and Telecommunications, 2012, vol. 2012, pp. 1632--1641.
[7]
M. Fontana and P. Terna, "From Agent-based models to network analysis (and return): the policy-making perspective," University of Turin, Department of Economics and Statistics Cognetti de Martiis. Working Paper 201507, 2015.
[8]
U. Wilensky and W. Rand, An Introduction to Agent-Based Modeling: Modeling Natural, Social, and Engineered Complex Systems with NetLogo. MIT Press, 2015.
[9]
N. Gilbert and K. G. Troitzsch, Simulation for the Social Scientist. McGraw-Hill International, 2005.
[10]
S. P. Borgatti, "Identifying Sets of Key Players in a Social Network," Comput. Math. Organ. Theory, vol. 12, no. 1, pp. 21--34, 2006.
[11]
A. Berzinji, L. Kaati, and A. Rezine, "Detecting Key Players in Terrorist Networks," in Proceedings of the 2012 European Intelligence and Security Informatics Conference, Washington, DC, USA, 2012, pp. 297--302.
[12]
F. Radicchi, C. Castellano, F. Cecconi, V. Loreto, and D. Parisi, "Defining and identifying communities in networks," PNAS, vol. 101, no. 9, pp. 2658--2663, Mar. 2004.
[13]
M. Girvan and M. E. J. Newman, "Community structure in social and biological networks," PNAS, vol. 99, no. 12, pp. 7821--7826, 2002.

Cited By

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  • (2021)Typology of schools operating in the Moscow Electronic School system based on the analysis of network indicatorsSHS Web of Conferences10.1051/shsconf/2021980300198(03001)Online publication date: 9-Mar-2021
  • (2017)Scaffolding Educational Community of Practice Using Visual StorytellingProceedings of the 10th International Conference on Theory and Practice of Electronic Governance10.1145/3047273.3047378(355-358)Online publication date: 7-Mar-2017

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cover image ACM Other conferences
EGOSE '15: Proceedings of the 2015 2nd International Conference on Electronic Governance and Open Society: Challenges in Eurasia
November 2015
271 pages
ISBN:9781450340700
DOI:10.1145/2846012
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 24 November 2015

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Author Tags

  1. E-governance
  2. E-learning
  3. NetLogo
  4. agency
  5. agent-based modeling
  6. co-creation
  7. collaboration
  8. crowdsourcing
  9. learning analytics

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  • Research-article
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EGOSE '15
EGOSE '15: Challenges in Eurasia
November 24 - 25, 2015
St. Petersburg, Russian Federation

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EGOSE '15 Paper Acceptance Rate 43 of 63 submissions, 68%;
Overall Acceptance Rate 146 of 237 submissions, 62%

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Cited By

View all
  • (2021)Typology of schools operating in the Moscow Electronic School system based on the analysis of network indicatorsSHS Web of Conferences10.1051/shsconf/2021980300198(03001)Online publication date: 9-Mar-2021
  • (2017)Scaffolding Educational Community of Practice Using Visual StorytellingProceedings of the 10th International Conference on Theory and Practice of Electronic Governance10.1145/3047273.3047378(355-358)Online publication date: 7-Mar-2017

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