IDEAS home Printed from https://ideas.repec.org/a/spr/syspar/v36y2023i5d10.1007_s11213-022-09625-9.html
   My bibliography  Save this article

Social Network Analysis as a Cybernetic Modelling Facility for Participatory Design in Technology-Supported College Curricula

Author

Listed:
  • Shantanu Tilak

    (The Ohio State University)

  • Marvin Evans

    (The Ohio State University)

  • Ziye Wen

    (The Ohio State University)

  • Michael Glassman

    (The Ohio State University)

Abstract

Despite iterative learning design being increasingly implemented, such approaches are often delineated by well-defined periods of design/implementation. However, second-order cybernetics, which suggests a participatory approach to learning design, involves responsively adapting learning environments to meet students’ needs, treating them as agentic participants in the classroom. In our mixed methods study, we investigate whether such a process can facilitate egalitarian participation and collaborative interactions in a technology-assisted classroom. We use the example of a graduate psychology class of 17 students and suggest that adaptation of live-chat activities by a participant observer on the Reddit social media platform that supplemented the in-person lecture dynamically, using a network analysis and qualitative ethnography as a modelling facility mimicked the ongoing feedback loops of social media platforms, enabling students to use social media with a critical eye, and engage in productive collaboration. Our quantitative results present network graphs for weekly eigen centrality to understand the egalitarian nature of the network, and transitivity to understand the likelihood for collaboration between more than two agents. Our qualitative results elaborate selected Reddit posts, and weekly field notes to explain how redesigning the chat weekly helped augment lecture-based discussion with the instructor and critique of student presentations, spurring egalitarian participation through a space-place dialectic. Students also provided end-semester feedback that was analyzed using inductive coding, to design future courseware.

Suggested Citation

  • Shantanu Tilak & Marvin Evans & Ziye Wen & Michael Glassman, 2023. "Social Network Analysis as a Cybernetic Modelling Facility for Participatory Design in Technology-Supported College Curricula," Systemic Practice and Action Research, Springer, vol. 36(5), pages 691-724, October.
  • Handle: RePEc:spr:syspar:v:36:y:2023:i:5:d:10.1007_s11213-022-09625-9
    DOI: 10.1007/s11213-022-09625-9
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11213-022-09625-9
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s11213-022-09625-9?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Jonathan Haidt & Nick Allen, 2020. "Scrutinizing the effects of digital technology on mental health," Nature, Nature, vol. 578(7794), pages 226-227, February.
    2. Nickerson, David W., 2008. "Is Voting Contagious? Evidence from Two Field Experiments," American Political Science Review, Cambridge University Press, vol. 102(1), pages 49-57, February.
    3. Gergely Palla & Albert-László Barabási & Tamás Vicsek, 2007. "Quantifying social group evolution," Nature, Nature, vol. 446(7136), pages 664-667, April.
    4. Fowler, J.H. & Christakis, N.A., 2008. "Estimating peer effects on health in social networks: A response to Cohen-Cole and Fletcher; and Trogdon, Nonnemaker, and Pais," Journal of Health Economics, Elsevier, vol. 27(5), pages 1400-1405, September.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Steven N. Durlauf & Yannis M. Ioannides, 2010. "Social Interactions," Annual Review of Economics, Annual Reviews, vol. 2(1), pages 451-478, September.
    2. Loh, Chung-Ping A. & Li, Qiang, 2013. "Peer effects in adolescent bodyweight: Evidence from rural China," Social Science & Medicine, Elsevier, vol. 86(C), pages 35-44.
    3. Grácio, Matilde & Vicente, Pedro C., 2021. "Information, get-out-the-vote messages, and peer influence: Causal effects on political behavior in Mozambique," Journal of Development Economics, Elsevier, vol. 151(C).
    4. Finan, Frederico & Seira, Enrique & Simpser, Alberto, 2021. "Voting with one’s neighbors: Evidence from migration within Mexico," Journal of Public Economics, Elsevier, vol. 202(C).
    5. Alberto Chong & Gianmarco León‐Ciliotta & Vivian Roza & Martín Valdivia & Gabriela Vega, 2019. "Urbanization Patterns, Information Diffusion, and Female Voting in Rural Paraguay," American Journal of Political Science, John Wiley & Sons, vol. 63(2), pages 323-341, April.
    6. Yakusheva, Olga & Kapinos, Kandice & Weiss, Marianne, 2011. "Peer effects and the Freshman 15: Evidence from a natural experiment," Economics & Human Biology, Elsevier, vol. 9(2), pages 119-132, March.
    7. Halliday, Timothy J. & Kwak, Sally, 2009. "Weight gain in adolescents and their peers," Economics & Human Biology, Elsevier, vol. 7(2), pages 181-190, July.
    8. Vincenzo Galasso & Tommaso Nannicini, 2016. "Persuasion and Gender: Experimental Evidence from Two Political Campaigns," CESifo Working Paper Series 5868, CESifo.
    9. Carolin V. Zorell, 2020. "Nudges, Norms, or Just Contagion? A Theory on Influences on the Practice of (Non-)Sustainable Behavior," Sustainability, MDPI, vol. 12(24), pages 1-21, December.
    10. Aurora Murgea, 2023. "The Dark Side of Digitalisation: Wealthier but Unhappier," Ovidius University Annals, Economic Sciences Series, Ovidius University of Constantza, Faculty of Economic Sciences, vol. 0(2), pages 326-334, December.
    11. Anna M. Wilke & Donald P. Green & Jasper Cooper, 2020. "A placebo design to detect spillovers from an education–entertainment experiment in Uganda," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 183(3), pages 1075-1096, June.
    12. Chih‐Sheng Hsieh & Lung‐Fei Lee & Vincent Boucher, 2020. "Specification and estimation of network formation and network interaction models with the exponential probability distribution," Quantitative Economics, Econometric Society, vol. 11(4), pages 1349-1390, November.
    13. Galasso, Vincenzo & Nannicini, Tommaso, 2013. "Men Vote in Mars, Women Vote in Venus: A Survey Experiment in the Field," CEPR Discussion Papers 9547, C.E.P.R. Discussion Papers.
    14. Barton, Jared & Pan, Xiaofei, 2022. "Movin’ on up? A survey experiment on mobility enhancing policies," European Journal of Political Economy, Elsevier, vol. 74(C).
    15. Ana Balsa & Carlos Díaz, 2018. "Social interactions in health behaviors and conditions," Documentos de Trabajo/Working Papers 1802, Facultad de Ciencias Empresariales y Economia. Universidad de Montevideo..
    16. Mariella Gonzales & Gianmarco León-Ciliotta & Luis R. Martínez, 2022. "How Effective Are Monetary Incentives to Vote? Evidence from a Nationwide Policy," American Economic Journal: Applied Economics, American Economic Association, vol. 14(1), pages 293-326, January.
    17. Lu Huang & Xiang Chen & Yi Zhang & Changtian Wang & Xiaoli Cao & Jiarun Liu, 2022. "Identification of topic evolution: network analytics with piecewise linear representation and word embedding," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(9), pages 5353-5383, September.
    18. Fosco, Constanza & Laruelle, Annick & Sánchez, Angel, 2009. "Turnout Intention and Social Networks," IKERLANAK info:eu-repo/grantAgreeme, Universidad del País Vasco - Departamento de Fundamentos del Análisis Económico I.
    19. Aslan, Serpil & Kaya, Buket & Kaya, Mehmet, 2019. "Predicting potential links by using strengthened projections in evolving bipartite networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 525(C), pages 998-1011.
    20. Hoffman, Mitchell & León, Gianmarco & Lombardi, María, 2017. "Compulsory voting, turnout, and government spending: Evidence from Austria," Journal of Public Economics, Elsevier, vol. 145(C), pages 103-115.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:syspar:v:36:y:2023:i:5:d:10.1007_s11213-022-09625-9. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.