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Large-scale Analysis of Discussion Networks in College Courses

Published:01 June 2022Publication History

ABSTRACT

Online discussion boards serve an important role in college courses by facilitating social learning and student support. However, the student experience and learning outcomes are likely to depend on the structure of student engagement with one another and the teaching staff. Using social network analysis, we investigated the network structure of 616 course discussion boards at a selective research university. We first examine variation in discussion boards using a wide range of composite metrics from the social network analysis literature. We then develop a typology of discussion board networks using principal component analysis and k-Means clustering to arrive at three clusters: dense discussion; distinct discussion groups; and discussion brokers and hubs.

References

  1. Nor Azura Adzharuddin and L Hwei Ling. 2013. Learning management system (LMS) among university students: Does it work. International Journal of eEducation, e-Business, e-Management and e-Learning 3, 3 (2013), 248--252.Google ScholarGoogle ScholarCross RefCross Ref
  2. Mina Shirvani Boroujeni, Tobias Hecking, H. Ulrich Hoppe, and Pierre Dillenbourg. 2017. Dynamics of MOOC discussion forums. In Proceedings of the Seventh International Learning Analytics & Knowledge Conference (LAK '17). Association for Computing Machinery, 128--137. https://doi.org/10.1145/3027385.3027391Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. Magdalena Cantabella, Raquel Martínez-España, Belén Ayuso, Juan Antonio Yáñez, and Andrés Muñoz. 2019. Analysis of student behavior in learning management systems through a Big Data framework. Future Generation Computer Systems 90 (2019), 262--272.Google ScholarGoogle ScholarCross RefCross Ref
  4. Bonnie J. Covelli. 2017. Online Discussion Boards: The Practice of Building Community for Adult Learners. The Journal of Continuing Higher Education 65, 2 (May 2017), 139--145.Google ScholarGoogle ScholarCross RefCross Ref
  5. Gabor Csardi and Tamas Nepusz. 2006. The igraph software package for complex network research. InterJournal Complex Systems (2006), 1695. https://igraph.orgGoogle ScholarGoogle Scholar
  6. Corinne Dalelio. 2013. Student Participation in Online Discussion Boards in a Higher Education Setting. International Journal on E-Learning 12, 3 (Jun 2013), 249--271.Google ScholarGoogle Scholar
  7. Dan Davis, Daniel Seaton, Claudia Hauff, and Geert-Jan Houben. 2018. Toward large-scale learning design: categorizing course designs in service of supporting learning outcomes. In Proceedings of the Fifth Annual ACM Conference on Learning at Scale (L@S '18). Association for Computing Machinery, 1--10. https://doi.org/ 10.1145/3231644.3231663Google ScholarGoogle ScholarDigital LibraryDigital Library
  8. Gina Deom, Stefano Fiorini, Mark McConahay, Linda Shepard, and Julie Teague. 2021. Data-Driven Decisions: Using Network Analysis to Guide Campus Course Offerings. College and University 96, 4 (2021), 2--13.Google ScholarGoogle Scholar
  9. Nia M. Dowell, Oleksandra Skrypnyk, Srecko Joksimovic, Arthur C. Graesser, Shane Dawson, Dragan Gasevic, Thieme A. Hennis, Pieter de Vries, and Vitomir Kovanovic. 2015. Modeling Learners' Social Centrality and Performance through Language and Discourse. International Educational Data Mining Society. https: //eric.ed.gov/?id=ED560532Google ScholarGoogle Scholar
  10. James E. Eckles and Eric G. Stradley. 2012. A social network analysis of student retention using archival data. Social Psychology of Education 15, 2 (June 2012), 165--180. https://doi.org/10.1007/s11218-011--9173-z 110.Google ScholarGoogle ScholarCross RefCross Ref
  11. Marissa R. Fearnley and Johnny T. Amora. 2020. Learning Management System Adoption in Higher Education Using the Extended Technology Acceptance Model. IAFOR Journal of Education 8, 2 (Jul 2020), 89--106.Google ScholarGoogle ScholarCross RefCross Ref
  12. Ed Fincham, Abelardo Pardo. 2018. From Social Ties to Network Processes: Do Tie Definitions Matter? Journal of Learning Analytics 5, 2 (Aug 2018), 9--28.Google ScholarGoogle ScholarCross RefCross Ref
  13. Nabeel Gillani, Taha Yasseri, Rebecca Eynon, and Isis Hjorth. 2014. Structural limitations of learning in a crowd: communication vulnerability and information diffusion in MOOCs. Scientific Reports 4, 1 (Sep 2014), 6447. https://doi.org/10. 1038/srep06447 75.Google ScholarGoogle ScholarCross RefCross Ref
  14. Daniel Z. Grunspan, Benjamin L. Wiggins, and Steven M. Goodreau. 2014. Understanding Classrooms through Social Network Analysis: A Primer for Social Network Analysis in Education Research. CBE-Life Sciences Education 13, 2 (June 2014), 167--178. https://doi.org/10.1187/cbe.13-08-0162 249.Google ScholarGoogle ScholarCross RefCross Ref
  15. Jonathan Huang, Anirban Dasgupta, Arpita Ghosh, Jane Manning, and Marc Sanders. 2014. Superposter behavior in MOOC forums. In Proceedings of the first ACM conference on Learning@ scale conference. ACM, 117--126.Google ScholarGoogle ScholarDigital LibraryDigital Library
  16. Sandeep M Jayaprakash, Erik W Moody, Eitel JM Lauría, James R Regan, and Joshua D Baron. 2014. Early alert of academically at-risk students: An open source analytics initiative. Journal of Learning Analytics 1, 1 (2014), 6--47.Google ScholarGoogle ScholarCross RefCross Ref
  17. Libor Juha?ák, Ji?í Zounek, and Lucie Rohlíková. 2019. Using process mining to analyze students' quiz-taking behavior patterns in a learning management system. Computers in Human Behavior 92 (2019), 496--506.Google ScholarGoogle ScholarDigital LibraryDigital Library
  18. Reynol Junco. 2015. Student class standing, Facebook use, and academic performance. Journal of Applied Developmental Psychology 36 (Jan. 2015), 18--29. https://doi.org/10.1016/j.appdev.2014.11.001 323.Google ScholarGoogle ScholarCross RefCross Ref
  19. René F Kizilcec. 2013. Collaborative learning in geographically distributed and in-person groups. In AIED 2013 Workshops Proceedings Volume, Vol. 67.Google ScholarGoogle Scholar
  20. Alexis V. Knaub, Charles Henderson, and Kathleen Quardokus Fisher. 2018. Finding the leaders: an examination of social network analysis and leadership identification in STEM education change. International Journal of STEM Education 5, 1 (Jun 2018), 26. https://doi.org/10.1186/s40594-018-0124--5 24.Google ScholarGoogle ScholarCross RefCross Ref
  21. Kathleen A. Krentler and Laura A. Willis-Flurry. 2005. Does Technology Enhance Actual Student Learning? The Case of Online Discussion Boards. Journal of Education for Business 80, 6 (Jul 2005), 316--321.Google ScholarGoogle ScholarCross RefCross Ref
  22. Miller McPherson, Lynn Smith-Lovin, and James M Cook. 2001. Birds of a Feather: Homophily in Social Networks. Annual Review of Sociology 27, 1 (Aug 2001), 415--444. https://doi.org/10.1146/annurev.soc.27.1.415 19210.Google ScholarGoogle ScholarCross RefCross Ref
  23. Peter R. Monge and Noshir S. Contractor. 2003. Theories of communication networks. Oxford University Press. 3047.Google ScholarGoogle Scholar
  24. Connor Neill, Sehoya Cotner, Michelle Driessen, and Cissy J Ballen. 2019. Structured learning environments are required to promote equitable participation. Chemistry Education Research and Practice 20, 1 (2019), 197--203.Google ScholarGoogle ScholarCross RefCross Ref
  25. M. E. J. Newman. 2003. Mixing patterns in networks. Physical Review E 67, 2 (Feb 2003), 026126.Google ScholarGoogle ScholarCross RefCross Ref
  26. Fan Ouyang and Cassandra Scharber. 2017. The influences of an experienced instructor's discussion design and facilitation on an online learning community development: A social network analysis study. The Internet and Higher Education 35 (Oct. 2017), 34--47. https://doi.org/10.1016/j.iheduc.2017.07.002 90.Google ScholarGoogle Scholar
  27. Kathleen Quardokus and Charles Henderson. 2015. Promoting instructional change: using social network analysis to understand the informal structure of academic departments. Higher Education 70, 3 (Sept. 2015), 315--335. https: //doi.org/10.1007/s10734-014--9831-0 64.Google ScholarGoogle ScholarCross RefCross Ref
  28. Bart Rienties, YingFei Héliot, and Divya Jindal-Snape. 2013. Understanding social learning relations of international students in a large classroom using social network analysis. Higher Education 66, 4 (Oct. 2013), 489--504. https: //doi.org/10.1007/s10734-013--9617--9 149.Google ScholarGoogle ScholarCross RefCross Ref
  29. Peter Shea, Suzanne Hayes, Sedef Uzuner-Smith, Mary Gozza-Cohen, Jason Vickers, and Temi Bidjerano. 2014. Reconceptualizing the community of inquiry framework: An exploratory analysis. The Internet and Higher Education 23 (Oct 2014), 9--17. https://doi.org/10.1016/j.iheduc.2014.05.002 151.Google ScholarGoogle Scholar
  30. Vincent Tinto. 1975. Dropout from higher education: A theoretical synthesis of recent research. Review of educational research 45, 1 (1975), 89--125.Google ScholarGoogle Scholar
  31. Alexandru Topîrceanu. 2017. Breaking up friendships in exams: A case study for minimizing student cheating in higher education using social network analysis. Computers & Education 115 (Dec 2017), 171--187. https://doi.org/10.1016/j. compedu.2017.08.008 20.Google ScholarGoogle Scholar
  32. Gloria Y. Washington. 2019. The Learning Management System Matters in Faceto-Face Higher Education Courses. Journal of Educational Technology Systems 48, 2 (Dec 2019), 255--275.Google ScholarGoogle ScholarCross RefCross Ref
  33. Stanley Wasserman and Katherine Faust. 1994. Social network analysis: methods and applications. Cambridge University Press. 41197.Google ScholarGoogle Scholar
  34. Kim Weeden and Benjamin Cornwell. 2020. The Small-World Network of College Classes: Implications for Epidemic Spread on a University Campus. Sociological Science 7 (2020), 222--241.Google ScholarGoogle ScholarCross RefCross Ref
  35. Alyssa Friend Wise and Yi Cui. 2018. Learning communities in the crowd: Characteristics of content related interactions and social relationships in MOOC discussion forums. Computers & Education 122 (Jul 2018), 221--242.Google ScholarGoogle Scholar
  36. Kui Xie, Gennaro Di Tosto, Lin Lu, and Young Suk Cho. 2018. Detecting leadership in peer-moderated online collaborative learning through text mining and social network analysis. The Internet and Higher Education 38 (July 2018), 9--17. https: //doi.org/10.1016/j.iheduc.2018.04.002 42.Google ScholarGoogle Scholar
  37. Diyi Yang, Tanmay Sinha, David Adamson, and Carolyn Penstein Rosé. 2013. Turn on, tune in, drop out: Anticipating student dropouts in massive open online courses. In Proceedings of the 2013 NIPS Data-driven education workshop, Vol. 11. 14.Google ScholarGoogle Scholar

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        L@S '22: Proceedings of the Ninth ACM Conference on Learning @ Scale
        June 2022
        491 pages
        ISBN:9781450391580
        DOI:10.1145/3491140

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        • Published: 1 June 2022

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