Educational Technology International

The Korean Society for Education Technology (한국교육공학회)
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The Influence of Achievement Goals on the Centrality of Social Networks in Online Discussion

  • Received : 2024.08.07
  • Accepted : 2024.10.11
  • Published : 2024.10.30
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Abstract

The effectiveness of online discussions depends on how learners interact with each other. Instructors should provide adaptive supports to learners with difficulty in sharing their opinions and questions with others. Social network analysis can provide insights into the dynamics of interactions in online discussions. This study explored how learners' achievement goals affect learners' centrality in a social network. For this study, 107 undergraduates enrolled at a university in South Korea participated in the online discussion over a week. This study found that achievement goals influenced the time of first writing and the types of online discussion messages, which were grouped into active participation, critique-oriented, and idea-oriented clusters. Although achievement goals did not significantly influence in-degree centrality, the time of first writing and the message types had significant effects on it. For outdegree centrality, mastery approach goals and the message types had significant effects. Learners of the active participation cluster showed higher in-degree and out-degree centrality than the others. This study implies that instructors should help learners experience more meaningful interactions in online discussions by enhancing mastery approach goals and providing scaffoldings for early participation and diverse types of messages.

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References

  1. Barron, K. E., & Harackiewicz, J. M. (2001). Achievement goals and optimal motivation: Testing multiple goal models. Journal of Personality and Social Psychology, 80, 706-722.
  2. Beheshitha, S. S., Hatala, M., Gasevic, D., & Joksimovic, S. (2016). The Role of achievement goal orientations when studying effect of learning analytics visualizations. In Proceedings of the 6th International Learning Analytics & Knowledge Conference, 54-63. ACM.
  3. Butts, C., (2008). Social network analysis: A methodological introduction. Asian Journal of Social Psychology, 11(1), 13-41.
  4. Calvani, A., Fini, A., Molino, M. and Ranieri, M. (2009) Visualizing and monitoring effective interactions in online collaborative groups. British Journal of Educational Technology, 41, 213-226.
  5. Carceller, C., Dawson, S., & Lockyer, L. (2015). Social capital from online discussion forums: Differences between online and blended modes of delivery. Australasian Journal of Educational Technology, 31(2), 150-163.
  6. Chen, B., & Huang, T. (2019). It is about timing: Network prestige in asynchronous online discussions. Journal of Computer Assisted Learning, 35, 503-515.
  7. Chen, G., Lo, C. K., & Hu, L. (2020). Sustaining online academic discussions: Identifying the characteristics of messages that receive responses. Computers & Education, 156, 103938.
  8. Chen, S-J. & Caropreso, E. J. (2004). Influence of personality on online discussion. Journal of Interactive Online Learning, 3(2), 1-17.
  9. Cho, H., Gay, G., Davidson, B., & Ingraffea, A. (2007). Social networks, communication styles, and learning performance in a CSCL community. Computers & Education, 49(2), 309-329.
  10. Cho, H., Lee, J.-S., Stefanone, M., & Gay, G. (2005). Development of computersupported collaborative social networks in a distributed learning community. Behavior & Information Technology, 24(6), 435-447.
  11. Cho, M-H., & Cho, Y. (2014). Instructor scaffolding for interaction and students' academic engagement in online leaning: Mediating role of perceived online class goal structures. The Internet and Higher Education, 21, 25-30.
  12. Cho, Y. H., Lee, J., & Jonassen, D. H. (2011). The role of tasks and epistemological beliefs in online peer questioning. Computers & Education, 56(1), 112-126.
  13. Chung, K. S. K., & Paredes, W. C. (2015). Towards a social networks model for online learning & performance. Educational Technology & Society, 18(3), 240-253.
  14. Darnon, C., Butera, F., & Harackiewicz, J. M. (2007). Achivement goals in social interactions: Learning with mastery vs. performance goals. Motivation and Emotion, 31, 61-70.
  15. Darnon, C., Muller, D., Schrager, S., Pannuzzo, N., & Butera, F. (2006). Mastery and performance goals predict epistemic and relational conflict regulation. Journal of Educational Psychology, 98, 766-776.
  16. De Laat, M., Lally, V., Lipponen, L., Simons, R. J. (2007). Investigating patterns of interaction in networked learning and computer-supported collaborative learning. International Journal of Computer-Supported Collaborative Learning, 2, 87-103.
  17. Elliot, A. J. (1999). Approach and avoidance motivation and achievement goals. Educational Psychologist, 34, 169-189.
  18. Elliot, A. J., & McGregor, H. A. (2001). A 2x2 achievement goal framework. Journal of Personality and Social Psychology, 80, 501-519.
  19. Giel, L. I. S., Noordzij, G., Noordegraaf-Eelens, L., & Denktas S. (2021). When birds of the same feather fly together: the impact of achievement goal compatibility in collaborative learning. Educational Psychology, 41(3), 79-98.
  20. Giri, B. E., Manongga, D., & Iriani, A. (2014). Using social networking analysis (SNA) to analyze collaboration between students (case study: students of open university in Kupang). International Journal of Computer Applications, 85(1), 44-49.
  21. Grau, V., & Whitebread, D. (2012). Self and social regulation of learning during collaborative activities in the classroom: The interplay of individual and group cognition. Learning and Instruction, 22(6), 401-412.
  22. Han, J., Kim, K. H., Rhee, W., & Cho, Y. H. (2021). Learning analytics dashboards for adaptive support in face-to-face collaborative argumentation. Computers and Education, 163, 104041.
  23. Hirst, G., Van Knippenberg, D., & Zhou, J. (2009). A cross-level perspective on employee creativity: Goal orientation, team learning behavior, and individual creativity. Academy of Management Journal, 52(2), 280-293.
  24. Hrastinski, S. (2008). What is online learning participation? A literature review. Computers & Education, 51, 1755-1765.
  25. Jo, I., Park, Y., & Lee, H. (2017). Three interaction patterns on asynchronous online discussion behaviours: A methodological comparison. Journal of Computer Assisted Learning, 33(2), 106-122.
  26. Kim, M. K., & Ketenci, T. (2019). Learner participation profiles in an asynchronous online collaboration context. The Internet and Higher Education, 31, 62-76.
  27. Kim, M. K., Wang, Y., & Ketenci, T. (2020). Who are online learning leaders? Piloting a leader identification method(LIM). Computers in Human Behavior. 105, 106205.
  28. Kim, M., K., Lee, I. H., & Kim, S. M. (2021). A longitudinal examination of temporal and iterative relationships among learner engagement dimensions during online discussion. Journal of Computers in Education, 8, 63-86.
  29. Klein, K., Lim, B-C., Saltz, J. L., & Mayer, D. M. (2004). How do they get there? An examination of the antecedents of centrality in team networks. Academy of Management Journal, 47, 952-963.
  30. Lau, S., Liem, A. D., & Nie, Y. (2010). Task- and self-related pathways to deep learning: The mediating role of achievement goals, classroom attentiveness, and group participation. British Journal of Educational Psychology, 78(4), 639-662.
  31. Levy, I., Kaplan, A. & Patrick, H. (2004). Early adolescents' achievement goals, social status, and attitudes towards cooperation with peers. Social Psychology of Education, 7, 127-159.
  32. Lim, J. Y., & Lim, K. Y. (2020). Co-regulation in collaborative learning: Grounded in achievement goal theory. International Journal of Educational Research, 103, 101621.
  33. Liu, C. C., Chen, Y. C., & Tai, S. J. D. (2017). A social network analysis on elementary student engagement in the networked creation community. Computers & Education, 115, 114-125.
  34. Macfadyen, L. P., & Dawson, S. (2010). Mining LMS data to develop an "early warning system" for educators: A proof of concept. Computers & Education, 54(2), 588-599.
  35. Memon, N., Xu, J. J., Hicks, D. L., & Chen, H. (2010). Social network data mining: Research questions, techniques, and applications. In N. Memon, J. J. Xu, D. L. Hicks, & H. Chen (Eds.). Data mining for social network data (pp. 1-8). Springer.
  36. Mochizuki, T., Kato, H., Fujitani, S., Yaegashi, K., Hisamatsu, S., Nagata, T., Nakahara, J., Nishimori, T., & Suzuki, M. (2007). Promotion of self-assessment for learners in online discussion using the visualization software. In N. Lambropoulos, & P. Zaphiris (Eds.), User-centered design of online learning communities (pp. 365-397). Information Science Publishing.
  37. Nicholls, J.G., Cobb, P., Wood, T., Yackel, E. Patashnick, P. (1990). Assessing students' theories of success in mathematics: Individual and classroom differences. Journal for Research in Mathematics Education, 21, 109-122.
  38. Park, B-G., & Lee, J-U. (2005). Development and validation of a 2x2 achievement goal orientation scale. The Korean Journal of Educational Psychology, 19(1), 327-352.
  39. Pintrich, P. R. (2000). An achievement goal theory perspective on issues in motivation terminology, theory, and research. Contemporary Educational Psychology, 25, 92-104.
  40. Poortvliet, P. M., Janssen, O., Van Yperen, N. W., & Van de Vliert, E. (2007). Achievement goals and interpersonal behavior: How mastery and performance goals shape information exchange. Personality and Social Psychology Bulletin, 33, 1435-1447.
  41. Romero, C., Lopez, M.-I., Luna, J.-M., & Ventura, S. (2013). Predicting students' final performance from participation in on-line discussion forums. Computers & Education, 68, 458-472.
  42. Rooderkerk, R.P. & Pauwels, K.H. (2016). No comment?! the drivers of reactions to online posts in professional groups. Journal of Interactive Marketing, 35, 1-15.
  43. Russo, T. C., & Koesten, J. (2005). Prestige, centrality, and learning: A social network analysis of an online class. Communication Education, 54(3), 254-261.
  44. Schoor, C. & Bannert, M. (2011). Motivation in a computer-supported collaborative learning scenario and its impact on learning activities and knowledge acquisition. Learning and Instruction, 21(4), 560-573.
  45. Shea, P., Hayes, S., Vickers, J., Gozza-Cohen, M., Uzuner, S., Mehta, R., ... Rangan, P. (2010). A re-examination of the community of inquiry framework: Social network and content analysis. Internet and Higher Education, 13(1), 10-21.
  46. Sommet, N., Darnon, C., & Butera, F. (2015). To confirm or to conform? Performance goals as a regulator of conflict with more-competent others. Journal of Educational Psychology, 107, 580-598.
  47. Stepanyan, K., Mather, R. and Dalrymple, R. (2013). Culture, role and group work: A social network analysis perspective on an online collaborative course. British Journal of Educational Technology, 45(4), 676-693.
  48. Tan, J. P. L., Koh, E., Jonathan, C. R., & Yang, S. (2017). Learner dashboards a double-edged sword? Students' sensemaking of a collaborative critical reading and learning analytics environment for fostering 21st century literacies. Journal of Learning Analytics, 4(1), 117-140.
  49. Wang, L. (2010). How social network position relates to knowledge building in online learning communities? Frontiers of Education in China, 5(1), 4-25.
  50. Wasserman, S., & Faust, K. (1994). Social network analysis: Methods and applications (Vol. 8). Cambridge University Press.
  51. Weinberger, A., & Fischer, F. (2006). A framework to analyze argumentative knowledge construction in computer-supported collaborative learning. Computers & Education, 46(1), 71-95.
  52. Xie, K., Yu, C., & Bradshaw, A. C. (2014). Impacts of role assignment and participation in asynchronous discussions in college-level online classes. Internet and Higher Education, 20, 10-19.
  53. Yamaguchi, R. (2001). Children's learning groups: A study of emergent leadership, dominance, and group effectiveness. Small Group Research, 32, 671-697.
  54. Zheng, J., Xing, W., & Zhu, GX. (2019). Examining sequential patterns of self- and socially shared regulation of STEM learning in a CSCL environment. Computers & Education, 136, 34-48.
  55. Zingaro, D., & Oztok, M. (2012). Interaction in an asynchronous online course: A synthesis of quantitative predictors. Journal of Asynchronous Learning Networks, 16(4), 71-82.