Journals / Turkish Online Journal of Distance Education / 2017 / Cilt: 18 - Sayı: 4

Achievement of Joint Perception in A Computer Supported Collaborative Learning Environment: A Case Study

Pages
78–90
Publication Date
2017-10-01
DOI
—
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

The analysis of the excerpts indicated that the initial struggles and their resolution in interaction as participants mastered the use of dynamic features in their shared workspace helped them gradually develop a shared understanding of the key spatial relationships among landmarks encoded in the 2D chart.

📌 3 Key Takeaways

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Objective & Hypothesis:The case study focuses on the interactional mechanisms through which online collaborative teams co-construct a shared understanding of an analytical geometry problem by using dynamic geometry representations.
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Key Findings & Data:The collaborative study consisted of an assignment on which the learners worked together in groups to solve a ship navigation problem as described in the Virtual Math Teams (VMT) environment.
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Conclusion & Impact:The analysis of the excerpts indicated that the initial struggles and their resolution in interaction as participants mastered the use of dynamic features in their shared workspace helped them gradually develop a shared understanding of the key spatial relationships among landmarks encoded in the 2D chart.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Computer supported collaborative learning · joint perception · CSCL

Abstract

The case study focuses on the interactional mechanisms through which online collaborative teams co-construct a shared understanding of an analytical geometry problem by using dynamic geometry representations. The collaborative study consisted of an assignment on which the learners worked together in groups to solve a ship navigation problem as described in the Virtual Math Teams (VMT) environment. In this paper, a single group’s problem solving activities were qualitatively analyzed to understand how they achieved a sense of joint perception of their shared workspace as a navigational chart which encodes the physical relationships between landmarks in the form of angle and distance measures. The analysis of the excerpts indicated that the initial struggles and their resolution in interaction as participants mastered the use of dynamic features in their shared workspace helped them gradually develop a shared understanding of the key spatial relationships among landmarks encoded in the 2D chart.

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Cite This Article

ADANIR, G. A. (2017). Achievement of Joint Perception in A Computer Supported Collaborative Learning Environment: A Case Study. Turkish Online Journal of Distance Education, Cilt: 18 - Sayı: 4, 78–90. https://ajindex.com/articles/139902

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References (5)

  1. Chan, C., Lee, E., & Van Aalst, J. (2001). Assessing and fostering knowledge building inquiry and discourse. In Biennial Meeting of the European Association for Learning and Instruction. Switzerland. Fournier, H., Kop, R., & Sitlia, H. (2011). The value of learning analytics to networked learning on a Personal Learning Environment. Gress, C. L., Fior, M., Hadwin, A. F., & Winne, P. H. (2010). Measurement and assessment in computer-supported collaborative learning. Computers in Human Behavior, 26(5), 806-814. 90 Hakkarainen, K. (2003). Emergence of progressive-inquiry culture in computer-supported collaborative learning. Learning Environments Research, 6, 199–220.
  2. Hutchins, E. (1995). Cognition in the Wild (Vol. 262082314). Cambridge, MA: MIT press. Janssen, J., Erkensa, G., Kanselaara, G. and Jaspersa, J. 2007. Visualization of participation: Does it contribute to successful computer-supported collaborative learning? Computers & Education, 49, 4, 1037–1065.
  3. Ludvigsen, S.R. and Mørch, A.I. 2009. Computer-supported collaborative learning: Basic concepts, multiple perspectives, and emerging trends. In The International Encyclopedia of Education, 3rd Edition,
  4. B. McGaw, P. Peterson and E. Baker, Eds. Elsevier (in press). Retalis, S., Petropoulou, O. and Lazakidou, G. 2010. Assessing the Performance of Learners Engaged in Computer-Supported Collaborative Problem-Solving Activities. Techniques for Fostering Collaboration in Online Learning Communities: Theoretical and Practical Perspectives, 245. Kumar, V. S. (1996, April). Computer-supported collaborative learning: issues for research. In Eighth Annual Graduate Symposium on Computer Science, University of Saskatchewan. Sarmiento, J. W., & Stahl, G. (2008, June). Extending the joint problem space: Time and sequence as essential features of knowledge building. InProceedings of the 8th international conference on International conference for the learning sciences-Volume 2 (pp. 295-302). International Society of the Learning Sciences. Scardamalia, M., & Bereiter, C. (2003). Knowledge Building. In Encyclopedia of Education. (2nd ed., pp. 1370-1373). New York: Macmillan Reference, USA Scardamalia, M. (2002). "Collective Cognitive Responsibility for the Advancement of Knowledge". In: B. Smith (ed.), Liberal Education in a Knowledge Society. Chicago: Open Court, pp. 67–98
  5. So, H. J., Seah, L. H., & Toh-Heng, H. L. (2010). Designing collaborative knowledge building environments accessible to all learners: Impacts and desi