A Study of Users’ Reactions to a Mixed Online Discussion Model: A Lag Sequential Analysis Approach

REFERENCES

• Asterhan, S. S. C. (2008). Direct tutor moderation of synchronous discussions: The importance of involvement and personalizatio. Proceedings of the Chais Conference on Instructional Technologies Research 2008, 13–17.
   Google Scholar
• Bakeman, R., & Gottman, J. M. (1997). Observing interaction: An introduction to sequential analysis (2nd ed.). Cambridge, UK: Cambridge University Press.
   Google Scholar
• Barcellini, F., Détienne, F., Burkhardt, J. M. (2008). User and developer mediation in an Open Source Software community: Boundary spanning through cross participation in online discussions. International Journal of Human–Computer Studies, 66, 558–570.
   Web of Science ®Google Scholar
• Chen, F. C., Lee, Y. W., Chu, H. J., Wang, H. R., & Jiang, H. M. (2005). How do social talks interweave with effective discussions and learning? The Official Journal of Global Chinese Society for Computer in Education, 3(1).
   Google Scholar
• Cheung, W. S., & Hew, K. F. (2010). Using asynchronous online discussion in education: Lessons learned over the last ten years. Proceedings of World Conference on Educational Multimedia, Hypermedia and Telecommunications 2010, 279–282.
   Google Scholar
• Cobb, A. (2010). To differentiate or not to differentiate? Using Internet–based technology in the classroom. Quarterly Review of Distance Education,11, 37–45, 59. Retrieved from Education Full Text database.
   Google Scholar
• De Wever, B., Schellens, T., Van Keer, H., & Valcke, M. (2008). Structuring asynchronous discussion groups by introducing roles: Do students act in line with assigned roles? Small Group Research, 39, 770–794.
   Web of Science ®Google Scholar
• Dewiyanti, S., Brand-Gruwel, S., Jochems, W., & Broers, N. J. (2007). Students’ experience with collaborative learning in asynchronous computer-supported collaborative learning environments. Computers in Human Behavior, 23, 496–514.
   Web of Science ®Google Scholar
• Garrison, D. R., Anderson, T., & Archer, W. (2000). Critical thinking in a text-based environment: computer conferencing in higher education. Internet and Higher Education, 11, 1–14.
   Google Scholar
• Gunawardena, C., Lowe, C., & Anderson, T. (1997). Analysis of global online debate and the development of an interaction analysis model for examining social construction of knowledge in computer conferencing. Journal of Educational Computing Research, 17, 397–431.
   Web of Science ®Google Scholar
• Gwet, K. L. (2012). Handbook of inter-rater reliability. Gaithersburg, MD: Advanced Analytics, LLC.
   Google Scholar
• Hou, H. T. (2010). Exploring the behavioural patterns in project-based learning with online discussion: Quantitative content analysis and progressive sequential analysis. Turkish Online Journal of Educational Technology, 9(3), 52–60.
   Web of Science ®Google Scholar
• Hou, H. T., Chang, K. E., & Sung, Y. T. (2007). An analysis of peer assessment online discussions within a course that uses project–based learning. Interactive Learning Environments, 15, 237–251.
   Web of Science ®Google Scholar
• Hou, H. T., Chang, K. E., & Sung, Y. T. (2009). Using blogs as a professional development tool for teachers: Analysis of interaction behavioral patterns. Interactive Learning Environments, 17, 325–340.
   Web of Science ®Google Scholar
• Hou, H. T., Chang, K. E., & Sung, Y. T. (2010). Applying lag sequential analysis to detect visual behavioral patterns of online learning activities. British Journal of Educational Technology, 41, e25–27.
   Web of Science ®Google Scholar
• Hou, H. T., Sung, Y. T. & Chang, K. E. (2008). Exploring the behavioral patterns of an online knowledge sharing discussion activity among teachers with problem-solving strategy. Teaching and Teacher Education, 25, 101–108.
   Web of Science ®Google Scholar
• Hou, H. T., & Wu, S. Y. (2011). Analyzing the social knowledge construction behavioral patterns of an online synchronous collaborative discussion instructional activity using an instant messaging tool: A case study. Computers & Education, 57, 1459–1468.
   Web of Science ®Google Scholar
• Huang, A. H., & Yen, D. C. (2013). Predicting the helpfulness of online reviews—A replication. International Journal of Human-Computer Interaction, 29, 129–138.
   Web of Science ®Google Scholar
• Hwang, W. Y., Huang, Y. M., & Wu, S. Y. (2011). The effect of an MSN agent on learning community and achievement. Interactive Learning Environments, 19, 413–432.
   Web of Science ®Google Scholar
• Isaacs, E., Walendowski, A., & Ranganthan, D. (2002). Hubbub: A sound-enhanced mobile instant messenger that supports awareness and opportunistic interactions. Proceedings of CHI 2002, 179–186.
   Google Scholar
• Jeong, A. C. (2003). The sequential analysis of group interaction and critical thinking in online threaded discussions. American Journal of Distance Education, 17, 25–43.
   Google Scholar
• Kim, H. M., & Kim, Y. S. (2001). Application of Internet services to promote interactions between the instructor and the students in the course of an introduction to biology education. Retrieved from http://bioedu.snu.ac.kr/dept/labs/bioedu_lab/students/1998_kimhyunmyoung/project/KR108–Kim.doc
   Google Scholar
• Krajcik, J. S., Czerniak, C. M., & Berger, C. F. (2003). Teaching science in elementary and middle school classrooms: A project–based approach. New York, NY: McGraw-Hill.
   Google Scholar
• Lucas, M., Gunawardena, C., & Moreira, A. (2014). Assessing social construction of knowledge online: A critique of the interaction analysis model. Computers in Human Behavior, 30, 574–582.
   Web of Science ®Google Scholar
• Marra, R. M., Moore, J. L., & Klimczak, A. K. (2004). Content analysis of online discussion forums: A comparative analysis of protocols. Educational Technology, Research and Development, 52(2), 23–40.
   Web of Science ®Google Scholar
• Murray, H. J. R. (1952). A history of board-games other than chess. New York, NY: Oxford University Press
   Google Scholar
• Nardi, B. A., Whittaker, S., & Bradner, E. (2000). Interaction and outeraction: Instant messaging in action. Proceedings of CSCW 2000, 79–88.
   Google Scholar
• Newman, G., Johnson, C., Webb, B., & Cochrane, C. (1997). Evaluating the quality of learning in computer supported co-operative learning. Journal of the American Society for Information Science, 48, 484–495.
   Web of Science ®Google Scholar
• Newman, G., Webb, B., & Cochrane, C. (1995). A content analysis method to measure critical thinking in face-to-face and computer supported group learning. Interpersonal Computing and Technology, 3(2), 56–77.
   Google Scholar
• Orvis, K. L., Wisher, R. A., Bonk, C. J., & Olson, T. M. (2002). Communication patterns during synchronous web-based military training in problem solving. Computers in Human Behavior, 18, 783–795.
   Web of Science ®Google Scholar
• Qin, L., Kim, Y., Hsu, J., & Tan, X. (2011). The effects of social influence on user acceptance of online social networks. International Journal of Human–Computer Interaction, 27, 885–899.
   Web of Science ®Google Scholar
• Schellens, T., & Valcke, M. (2005). Collaborative learning in asynchronous discussion groups: What about the impact on cognitive processing? Computers in Human Behavior, 21, 957–975.
   Web of Science ®Google Scholar
• Sharon, A., Perelman, V., & Dori, D. (2008). A project-product lifecycle management approach for improved systems engineering practices. INCOSE International Symposium, 18, 942–957.
   Google Scholar
• Shen, N. K., & Khalifa, M. (2008). Exploring multidimensional conceptualization of social presence in the context of online communities. International Journal of Human–Computer Interaction, 24, 722–748.
   Web of Science ®Google Scholar
• Sung, Y. T., Chang, K. E., Lee, Y. H., & Yu, W. C., 2008. Effects of a mobile electronic guidebook on visitors’ attention and visiting behaviors. Educational Technology & Society, 11, 67–80.
   Web of Science ®Google Scholar
• Tu, C. H., & Corry, M. (2003). Designs, management tactics, and strategies in asynchronous learning discussions. The Quarterly Review of Distance Education, 4, 303–315.
   Google Scholar
• Van Joolingen, W. R., De Jong, T., & Dimitrakopoulou, A. (2007). Issues in computer supported inquiry learning in science. Journal of Computer Assisted Learning, 23, 111–119.
   Web of Science ®Google Scholar
• Vasalou, A., Joinson, A., & Courvoisier, D. (2010). Cultural differences, experience with social networks and the nature of true commitment in Facebook. International Journal of Human–Computer Studies, 68, 719–728.
   Web of Science ®Google Scholar
• Wang, Q. Y., & Woo, H. L. (2007). Comparing asynchronous online discussions and face-to-face discussions in a classroom setting. British Journal of Educational Technology, 38, 272–286.
   Web of Science ®Google Scholar
• Wu, S. Y., Hou, H. T., & Hwang, W. Y. (2012). Exploring students’ cognitive dimensions and behavioral patterns during a synchronous peer assessment discussion activity using instant messaging. The Asia-Pacific Education Researcher, 21, 442–453.
   Web of Science ®Google Scholar
• Wu, S. Y., Hou, H. T., Hwang, W. Y., & Liu, Z. F. (2011 , May). A case study of seamless online learning integrated discussion. Paper presented at the 15th Global Chinese Conference on Computers in Education, Hangzhou, China.
   Google Scholar
• Zhu, E. (1996). Meaning negotiation, knowledge construction, and mentoring in a distance learning course. Proceedings of Selected Research and Development Presentations at the 1996 National Convention of the Association for Educational Communications and Technology. Retrieved from ERIC database. (ED 397 849).
   Google Scholar