How do you connect? Analysis of social capital accumulation in connectivist MOOCs

ACM International Conference Proceeding Series

Volumn 16-20-March-2015, Issue , 2015, Pages 64-68

  Joksimović, Srećko ^a   Kovanović, Vitomir ^b   Dowell, Nia ^c   Gašević, Dragan ^b   Graesser, Arthur C ^d   Skrypnyk, Oleksandra ^e   Dawson, Shane ^e  

^a SIMON FRASER UNIVERSITY   (Canada)

^b UNIVERSITY OF EDINBURGH   (United Kingdom)

^c UNIVERSITY OF MEMPHIS   (United States)

^d University of Memphis   (United States)

^e UNIVERSITY OF SOUTH AUSTRALIA   (Australia)

Author keywords

Coh Metrix; Language; MOOCs; Social capital; Social Network Analysis

Indexed keywords

COMPUTATIONAL LINGUISTICS; MODELING LANGUAGES; SOCIAL NETWORKING (ONLINE); TEACHING;

COH-METRIX; DISTRIBUTED LEARNING ENVIRONMENTS; INTERACTION NETWORKS; LANGUAGE; LEARNING OUTCOME; LINEAR MIXED-EFFECTS MODEL; MOOCS; SOCIAL CAPITALS;

COMPUTER AIDED INSTRUCTION;

EID: 84955566203     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2723576.2723604     Document Type: Conference Paper

References (36)

1. A. A. Mcauley, B. Stewart, G. Siemens, and D. Cormier, "The MOOC Model for Digital Practice," p. 33, 2010.
2. A. Fini, "The Technological Dimension of a Massive Open Online Course: The Case of the CCK08 Course Tools," Int. Rev. Res. Open Distance Learn., vol. 10, no. 5, 2009.
3. R. Kop, "The challenges to connectivist learning on open online networks: Learning experiences during a Massive Open Online Course," Int. Rev. Res. Open Distance Learn., vol. 12, no. 3, pp. 19-38, 2011.
4. R. Kop, J. Sui, and F. Mak, "A Pedagogy of Abundance or a Pedagogy to Support Human Beings? Participant Support on Massive Open Online Courses," Int. Rev. Res. Open Distance Learn., vol. 12, no. 7, pp. 1-10, 2011.
5. C. Milligan, A. Littlejohn, and A. Margaryan, "Patterns of Engagement in a Connectivist MOOC," J. Online Learn. Teach., vol. 9, no. 2, 2013.
6. J. Anh, B. Butler, and A. Alam, "Learner Participation and Engagement in Open Online Courses: Insights from the Peer 2 Peer University,"MERLOT JOLT, vol. 9, no. 2, 2013.
7. J. Knox, "Digital culture clash: 'massive' education in the E- learning and Digital Cultures MOOC," Distance Educ., vol. 35, no. 2, pp. 164-177, 2014.
8. N. Lin, "Social capital: a theory of social structure and action," Soc. Forces, vol. 82, no. 3, pp. 1209-11, 2004.
9. A. Lockwood, "Community collaboration and social capital: an interview with Gary G. Wehlage," Lead. Tomorrows Sch., vol. 2, pp. 19-25, 1996.
10. J. Scott and P. Carrington, The SAGE Handbook of Social Network Analysis. SAGE, 2011.
11. R. S. Burt, "The Network Structure of Social Capital," Res. Organ. Behav., vol. 22, pp. 345-423, 2000.
12. O. Skrypnyk, S. Joksimovic, V. Kovanovic, D. Gasevic, and S. Dawson, "Roles of course facilitators, learners, and technology in the flow of information of a cMOOC," Br. J. Educ. Technol. Spec. Issue MOOCs, p. submmited for review, 2014.
13. A. Graesser, D. Mcnamara, and J. Kulikowich, "Coh-Metrix: Providing Multilevel Analyses of Text Characteristics," Educ. Res., vol. 40, no. 5, pp. 223-234, Jun. 2011.
14. C. Carceller, S. Dawson, and L. Lockyer, "Improving academic outcomes: does participating in online discussion forums payoff?," Int. J. Technol. Enhanc. Learn., vol. 5, no. 2, pp. 117-132, 2013.
15. L. M. Vaquero and M. Cebrian, "The rich club phenomenon in the classroom," Sci Rep, vol. 3, Jan. 2013.
16. D. Gasevic, A. Zouaq, and R. Janzen, "'Choose Your Classmates, Your GPA Is at Stake!': The Association of Cross-Class Social Ties and Academic Performance," Am. Behav. Sci., 2013.
17. V. Kovanovic, S. Joksimovic, D. Gasevic, and M. Hatala, "What is the Source of Social Capital? The Association between Social Network Position and Social Presence in Communities of Inquiry," in Proceedings of the Workshops held at Educational Data Mining 2014, co-located with 7th International Conference on Educational Data Mining (EDM 2014), London, UK, 2014, pp. 1-8.
18. A. J. Scholand, Y. R. Tausczik, and J. W. Pennebaker, "Assessing Group Interaction with Social Language Network Analysis," in Advances in Social Computing, S.-K. Chai, J. J. Salerno, and P. L. Mabry, Eds. Springer Berlin Heidelberg, 2010, pp. 248-255.
19. A. C. Graesser and D. S. McNamara, "Computational Analyses of Multilevel Discourse Comprehension," Top. Cogn. Sci., vol. 3, no. 2, pp. 371-398, 2011.
20. W. Kintsch, Comprehension: A Paradigm for Cognition. Cambridge, U.K.: Cambridge University Press, 1998.
21. C. E. Snow, Reading for Understanding: Toward a Research and Development Program in Reading Comprehension. Santa Monica, CA: Rand Corporation, 2002.
22. N. Dowell, W. Cade, Y. Tausczik, J. Pennebaker, and A. Graesser, "What Works: Creating Adaptive and Intelligent Systems for Collaborative Learning Support," Intell. Tutoring Syst. Proc. ITS 2014, pp. 124-133, 2014.
23. L. C. Freeman, "Centrality in social networks conceptual clarification," Soc. Netw., vol. 1, no. 3, pp. 215-239, 1979.
24. S. Wasserman and K. Faust, Social network analysis: Methods and applications. Cambridge, UK: Cambridge University Press, 1994, p. 825.
25. G. Csardi and T. Nepusz, "The igraph software package for complex network research," InterJournalournal, vol. Complex Sy, p. 1695, 2006.
26. D. S. McNamara, A. C. Graesser, P. M. McCarthy, and Z. Cai, Automated evaluation of text and discourse with Coh-Metrix. Cambridge, M.A.: Cambridge University Press., 2014.
27. J. C. Pinheiro and D. M. Bates, Mixed-effects models in S andS-PLUS. Springer, 2000.
28. S. W. Raudenbush and A. S. Bryk, Hierarchical Linear Models: Applications and Data Analysis Methods. SAGE Publications, 2002.
29. T. Hastie, R. Tibshirani, and J. Friedman, The Elements of Statistical Learning, 2nd editio. New York: Springer, 2009.
30. R. Xu, "Measuring explained variation in linear mixed effects models," Stat. Med., vol. 22, no. 22, pp. 3527-3541, 2003.
31. D. Bates, M. Maechler, B. Bolker, and S. Walker, lme4: Linear mixed-effects models using Eigen and S4. 2013.
32. R. H. Baayen, Analyzing Linguistic Data: A Practical Introduction to Statistics Using R. Cambridge University Press, 2008.
33. M. De Laat, "Networked learning," Police Acad. Neth. Apeldoorn, 2006.
34. S. Dawson and G. Siemens, "Analytics to literacies: The development of a learning analytics framework for multiliteracies assessment," Int. Rev. Res. Open Distance Learn., vol. 15, no. 4, 2014.
35. R. M. Bernard, P. C. Abrami, E. Borokhovski, C. A. Wade, R. M. Tamim, M. A. Surkes, and E. C. Bethel, "A Meta- Analysis of Three Types of Interaction Treatments in Distance Education," Rev. Educ. Res., vol. 79, no. 3, pp. 1243-1289, Sep. 2009.
36. E. Borokhovski, R. Tamim, R. M. Bernard, P. C. Abrami, and A. Sokolovskaya, "Are contextual and designed student-student interaction treatments equally effective in distance education?," Distance Educ., vol. 33, no. 3, pp. 311-329, 2012.