Understanding the dynamics of MOOC discussion forums with simulation investigation for empirical network analysis (SIENA)

Distance Education

Volumn 37, Issue 3, 2016, Pages 270-286

  Zhang, Jingjing ^a   Skryabin, Maxim ^b   Song, Xiongwei ^c  

^a BEIJING NORMAL UNIVERSITY   (China)

^b ITMO UNIVERSITY   (Russian Federation)

^c Chinese Academy of Governance   (China)

Author keywords

MOOC; network dynamics; simulation investigation for empirical network analysis (SIENA); social learning analytics

Indexed keywords

EID: 84992104277     PISSN: 01587919     EISSN: 14750198     Source Type: Journal    
DOI: 10.1080/01587919.2016.1226230     Document Type: Article

References (60)

1. T.Anderson, (2003). Modes of interaction. In M.G.Moore & W.G.Anderson (Eds.), Handbook of distance education (pp. 129–144). Mahwah, NJ:Lawrence Erlbaum Associates.
2. M.Arvaja, H.Rasku-Puttonen, P.Häkkinen, & A.Eteläpelto, (2003). Constructing knowledge through a role-play in a web-based learning environment. Journal of Educational Computing Research, 28, 319–341. Retrieved from https://www.learntechlib.org/p/6917310.2190/4FAV-EK1T-XV4H-YNXF
3. A.L.Barabási, & R.Albert, (1999). Emergence of scaling in random networks. Science, 286, 509–512. doi:10.1126/science.286.5439.509
4. F.Berkes, & C.Folke, (1998). Linking social and ecological systems:Management practices and social mechanisms for building resilience. Cambridge:Cambridge University Press.
5. R.M.Bernard, P.C.Abrami, E.Borokhovski, A.Wade, R.Tamim, M.Surkes, & E.C.Bethel, (2009). A meta-analysis of three interaction treatments in distance education. Review of Educational Research, 79, 1243–1289. doi:10.3102/0034654309333844
6. J.A.Bondy, & U.S.R.Murty, (2008). Graph theory. London:Springer.10.1007/978-1-84628-970-5
7. D.E.Booher, & J.E.Innes, (2002). Network power in collaborative planning. Journal of Planning Education and Research, 21, 221–236. doi:10.1177/0739456X0202100301
8. D.O.Bruff, D.H.Fisher, K.E.McEwen, & B.E.Smith, (2013). Wrapping a MOOC:Student perceptions of an experiment in blended learning. MERLOT Journal of Online Learning and Teaching, 9, 187–199. Retrieved from http://jolt.merlot.org/index.html
9. J.Buder, C.Schwind, A.Rudat, & D.Bodemer, (2015). Selective reading of large online forum discussions:The impact of rating visualizations on navigation and learning. Computers in Human Behavior, 44, 191–201. doi:10.1016/j.chb.2014.11.043
10. D.Centola, (2010). The spread of behavior in an online social network experiment. Science, 329, 1194–1197. doi:10.1126/science.1185231
11. D.Clow, (2013, April). MOOCs and the funnel of participation. Paper presented at the 3rd international conference on learning analytics and knowledge (LAK), Leuven, Belgium.
12. B.Crona, & Ö.Bodin, (2006). What you know is who you know? Communication patterns among resource users as a prerequisite for co-management. Ecology and Society, 11, 7. Retrieved from http://www.ecologyandsociety.org/vol11/iss2/art7/
13. R.Cross, S.P.Borgatti, & A.Parker, (2001). Beyond answers:Dimensions of the advice network. Social Networks, 23, 215–235. doi:10.1016/S0378-8733(01)00041-7
14. M.F.De Laat, (2006). Networked learning. Apeldoorn:Politie Academie.
15. M.G.Everett, & S.P.Borgatti, (1994). Regular equivalence:General theory. The Journal of Mathematical Sociology, 19, 29–52. doi:10.1080/0022250X.1994.9990134
16. N.Gillani, & R.Eynon, (2014). Communication patterns in massively open online courses. The Internet and Higher Education, 23, 18–26. doi:10.1016/j.iheduc.2014.05.004
17. N.Gillani, T.Yasseri, R.Eynon, & I.Hjorth, (2014). Structural limitations of learning in a crowd:Communication vulnerability and information diffusion in MOOCs. Scientific Reports, 4, 1–7. doi:10.1038/srep06447
18. L.Harasim, (1989). Online education:A new domain. In R.M.Mason & A.Kaye (Eds.), Mindweave:Communication, computers, and distance education (pp. 50–62). Oxford:Pergamon Press.
19. R.L.Hartman, & J.D.Johnson, (1989). Social contagion and multiplexity communication networks as predictors of commitment and role ambiguity. Human Communication Research, 15, 523–548. doi:10.1111/j.1468-2958.1989.tb00198.x
20. C.Haythornthwaite, & M.De Laat, (2010, May). Social networks and learning networks:Using social network perspectives to understand social learning. Paper presented at the 7th international conference on networked learning, Aalborg, Denmark.
21. F.Henri, (1992). Formation à distance et téléconférence assistée par ordinateur:Interactivité, quasi-interactivité, ou monologue? International Journal of E-Learning & Distance Education, 7, 5–24. Retrieved from http://www.ijede.ca/index.php/jde/index
22. S.Kellogg, S.Booth, & K.Oliver, (2014). A social network perspective on peer supported learning in MOOCs for educators. The International Review of Research in Open and Distributed Learning, 15, 263–289. Retrieved from http://www.irrodl.org/index.php/irrodl/
23. K.B.Klingsieck, S.Fries, C.Horz, & M.Hofer, (2012). Procrastination in a distance university setting. Distance Education, 33, 295–310. doi:10.1080/01587919.2012.723165
24. J.Lave, & E.Wenger, (1991). Situated learning. Cambridge:Cambridge University Press.10.1017/CBO9780511815355
25. P.F.Lazarsfeld, & R.K.Merton, (1954). Friendship as a social process:A substantive and methodological analysis. In M.Berger (Ed.), Freedom and control in modern society (pp. 18–66). New York, NY:Van Nostrand.
26. H.J.Leavitt, (1951). Some effects of certain communication patterns on group performance. The Journal of Abnormal and Social Psychology, 46, 38–50. doi:10.1037/h0057189
27. D.Levy, (2011). Lessons learned from participating in a connectivist massive online open course (MOOC). In Y.Eshet-Alkalai, A.Caspi, S.Eden, N.Geri, & Y.Yair (Eds.), Learning in the technological era. Proceedings of the Chais conference on instructional technologies research 2011 (pp. 31–36). Raanana:The Open University of Israel.
28. J.P.Liebeskind, A.L.Oliver, L.Zucker, & M.Brewer, (1996). Social networks, learning, and flexibility:Sourcing scientific knowledge in new biotechnology firms. Organization Science, 7, 428–443. doi:10.1287/orsc.7.4.428
29. R.Luckin, W.Clark, R.Graber, K.Logan, A.Mee, & M.Oliver, (2009). Do Web 2.0 tools really open the door to learning? Practices, perceptions and profiles of 11–16-year-old students. Learning, Media and Technology, 34, 87–104. doi:10.1080/17439880902921949
30. A.B.F.Mansur, N.Yusof, & M.S.Othman, (2011, August). Analysis of social learning network for wiki in Moodle e-learning. Paper presented at the 4th international conference on interaction sciences (ICIS), Busan, South Korea.
31. B.W.McElroy, & B.H.Lubich, (2013). Predictors of course outcomes:Early indicators of delay in online classrooms. Distance Education, 34, 84–96. doi:10.1080/01587919.2013.770433
32. M.McPherson, L.Smith-Lovin, & J.M.Cook, (2001). Birds of a feather:Homophily in social networks. Annual Review of Sociology, 27, 415–444. doi:10.1146/annurev.soc.27.1.415
33. R.K.Merton, (1968). The Matthew effect in science:The reward and communication systems of science are considered. Science, 159, 56–63. doi:10.1126/science.159.3810.56
34. S.Naidu, (in press). Open educational practice:Caveat emptor. In D.Singh (Ed.), Responsible leadership:Higher education. Globethics.net.
35. M.Nicolini, & C.Ocenasek, (1998). Environmental impact assessment with public participation:The case of a proposed landfill site in the Austrian Pinzgau. In H.Weidner (Ed.), Alternative dispute resolution in environmental conflicts:Experiences in 12 countries (pp. 330–339). Berlin:Edition Sigma.
36. W.Powell, (1990). Neither market nor hierarchy:Network forms of organization. Research in Organizational Behavior, 12, 295–336. Retrieved from https://www.researchgate.net/publication/31842399_Neither_Market_nor_Hierarchy_Network_Forms_of_Organization_WW_Powell
37. L.B.Resnick, J.M.Levine, & S.D.Teasley, (1993). Perspectives on socially shared cognition. Washington, DC:American Psychological Association.
38. R.M.Ripley, T.A.B.Snijders, Z.Boda, A.Voros, & P.Preciado, (2015). Manual for SIENA(version May 22 2015). Oxford:University of Oxford. Retrieved from http://www.stats.ox.ac.uk/siena/
39. P.J.Rogers, (1995). Diffusion of innovations (4th ed.). New York, NY:Free Press.
40. J.Scott, (2000). Social network analysis:A handbook (2nd ed.). Thousand Oaks, CA:Sage.
41. N.Selwyn, (2011). Education and technology:Key issues and debates. London:Continuum.
42. M.D.Siciliano, (2016). It’s the quality not the quantity of ties that matters:Social Networks and self-efficacy beliefs. American Educational Research Journal, 53, 227–262. doi:10.3102/0002831216629207
43. R.L.Sie, T.D.Ullmann, K.Rajagopal, K.Cela, M.Rijpkema, & P.B.Sloep, (2012). Social network analysis for technology-enhanced learning:Review and future directions. International Journal of Technology Enhanced Learning, 4, 172–190. doi:10.1504/IJTEL.2012.051582
44. G.Siemens, (2005). Connectivism:A learning theory for the digital age. International Journal of Instructional Technology and Distance Learning, 2, 3–10. Retrieved from http://itdl.org/
45. G.Siemens, & S.Downes, (2011). Connectivism and connective knowledge 2011. Retrieved from http://cck11.mooc.ca
46. P.B.Sloep, A.J.Berlanga, W.Greller, S.Stoyanov, M.Van der Klink, S.Retalis, & J.Hensgens, (2012). Educational innovation with learning networks:Tools and developments. Journal of Universal Computer Science, 18, 44–61. doi:10.3217/jucs-017-01-0044
47. T.A.B.Snijders, (2011). Network dynamics. In J.Scott & P.J.Carrington (Eds.), The Sage handbook of social network analysis (pp. 501–513). London:Sage.
48. T.A.Snijders, G.G.van de Bunt, & C.E.Steglich, (2010). Introduction to stochastic actor-based models for network dynamics. Social Networks, 32, 44–60. doi:10.1016/j.socnet.2009.02.004
49. R.T.Sparrowe, & R.C.Liden, (1997). Process and structure in leader-member exchange. Academy of Management Review, 22, 522–552. doi:10.5465/AMR.1997.9707154068
50. C.Steglich, T.A.Snijders, & M.Pearson, (2010). Dynamic networks and behavior:Separating selection from influence. Sociological Methodology, 40, 329–393. doi:10.1111/j.1467-9531.2010.01225.x
51. K.Stepanyan, K.Borau, & C.Ullrich, (2010). A social network analysis perspective on student interaction within the Twitter microblogging environment. Paper presented at the 10th IEEE international conference on advanced learning technologies (ICALT), Sousse, Tunisia.
52. K.Stepanyan, R.Mather, & R.Dalrymple, (2013). Culture, role and group work:A social network analysis perspective on an online collaborative course. British Journal of Educational Technology, 45, 676–693. doi:10.1111/bjet.12076
53. Y.Todo, P.Matous, & D.Mojo, (2015). Effects of social network structure on the diffusion and adoption of agricultural technology:Evidence from rural Ethiopia (WINPEC Working Paper Series No. E 1505). Retrieved from http://www.waseda.jp/fpse/winpec/assets/uploads/2015/06/No.E1505Todo_Matous_Mojo.pdf
54. R.Toivonen, L.Kovanen, M.Kivelä, J.P.Onnela, J.Saramäki, & K.Kaski, (2009). A comparative study of social network models:Network evolution models and nodal attribute models. Social Networks, 31, 240–254. doi:10.1016/j.socnet.2009.06.004
55. R.Viswanathan, (2012). Teaching and learning through MOOC. Frontiers of Language and Teaching, 3, 32–40. Retrieved from http://www.flt.ioksp.com/index.htm
56. M.Waite, J.Mackness, G.Roberts, & E.Lovegrove, (2013). Liminal participants and skilled orienteers:Learner participation in a MOOC for new lecturers. Journal of Online Learning and Teaching, 9, 200–215. Retrieved from http://jolt.merlot.org/
57. R.Wei, (2008). China’s radio & TV universities and the British Open University:A comparative study. Nanjing:Yilin Press.
58. E.Wenger, (1998). Communities of practice. Cambridge:Cambridge University Press.10.1017/CBO9780511803932
59. B.Xu, Y.Zhang, F.Li, & D.Yang, (2015). MOOC Ke Cheng Lun Tan Zhong Xue Xi Zhe Lun Tan Jiao Hu Wang Luo Jie Gou Te Zheng Fen Xi [The structural analysis of interactive network formed MOOC discussion forums]. Computer Education, 15, 23–35. doi:10.16512/j.cnki.jsjjy.2015.15.007
60. D.Yang, T.Sinha, D.Adamson, & C.P.Rosé, (2013). Turn on, tune in, drop out:Anticipating student dropouts in massive open online courses. Paper presented at the NIPS Data-Driven Education Workshop, Lake Tahoe, NV. Retrieved from http://www.cs.cmu.edu/~diyiy/docs/nips13.pdf