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Instructional Design on Controlling the Quality of Collaboration in a CSCL Setting Through Illusionary Adaptive Support

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Research on e-Learning and ICT in Education

Abstract

This work proposes an instructional design within a Computer Supported Collaborative Learning (CSCL) setting. The aim of this design is to examine if the provision of illusionary adaptive support, in the form of control that resides at the collaborators, could be perceived as such and cause intrinsic motivation toward better collaborative performance. Two conditions, i.e., control and experimental, of collaborative concept mapping were applied to 11 groups of dyads. The groups during the experimental condition, unlike the control one, received an illusionary type of support and, according to the experimental results, they produced better collaborative performance, on the basis of relevant indicators, as compared to their performance during the control condition. The proposed approach extends previous relative work from individual to collaborative settings and reveals new possibilities in the design of adaptive CSCL support, under the perspective of illusion of control.

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References

  • Berger, J., & Schnerring, D. (1982). The effects of desire for control and extrinsic rewards on the illusion of control and gambling. Motivation & Emotion, 6(4), 329–335.

    Article  Google Scholar 

  • Boulding, K. E. (1956). General Systems Theory- The skeleton of science. Management Science, 11(3), 197–208.

    Article  Google Scholar 

  • Cañas, A. J., Hill, G., Carff, R., Suri, N., Lott, J., & Eskridge, T. (2004). CmapTools: A knowledge modeling and sharing environment. In A. J. Cañas, J. D. Novak & F. M. González (eds.), Proceedings of the first international conference on concept mapping ‘Concept maps: Theory, methodology, technology’ (pp. 125–133). Pamplona, Spain: Universidad Pública de Navarra.

    Google Scholar 

  • Checkland, P. B. (1981). Systems Thinking, Systems Practice. New York: John Wiley & Sons.

    Google Scholar 

  • Corbalan, G., Kester, L., & Merriënboer, J. (2009). Combining shared control with variability over surface features: Effects on transfer test performance and task involvement. Computers in Human Behavior, 25, 290–298.

    Article  Google Scholar 

  • Cordova, D. I., & Lepper, M. R. (1996). Intrinsic motivation and the process of learning: Beneficial effects of contextualization, personalization, and choice. Journal of Educational Psychology, 88, 715–730.

    Article  Google Scholar 

  • Dror, I. E. (2008). Technology enhanced learning: The good, the bad, and the ugly. Pragmatics & Cognition, 16, 215–223.

    Google Scholar 

  • Gabriele, S. (1997). Boulding’s typology elaborated: A framework for understanding school and classroom systems. Systems Practice, 10(3), 271–303.

    Article  Google Scholar 

  • Gabriele, S. (2010). The hard facts of soft social systems: Towards a theoretical and practical model for schools and other organizations. Retrieved 17 March 2011 from http://journals.isss.org/index.php/proceedings54th/search/authors?searchInitial=G.

  • Hadjileontiadou, S., Nikolaidou, G., & Hadjileontiadis, L. (2010). Illusionary adaptive support as a means for intrinsic motivation in CSCL settings: A case in concept mapping. In A. Jimoyiannis (ed.), Proceedings of the 7th Panhellenic Conference with International Participation ‘Information and Communication Technologies in Education’ (pp. 163–170). Korinthos, Greece: University of Peloponnese.

    Google Scholar 

  • Kapur, M., & Rummel, N. (2009). The assistance dilemma in CSCL. In A. Dimitrakopoulou, C. O’ Maley, D. Suthers, & R. Reimann (eds.), Proceedings of the CSCL2009-symposia (pp.37–39). NJ: International Society of the Learning Sciences.

    Google Scholar 

  • Kinzie, M. B. (1990). Requirements and benefits of effective interactive instruction: Learner control, self regulation, and continuing motivation. Educational Technology, Research and Development, 38, 5–21.

    Article  Google Scholar 

  • Mathworks (2009). Matlab R2009b Signal Processing Toolbox. http://www.mathworks.com.

  • Novak, J. D., & Gowin, D. B. (1984). Learning How to Learn. New York: Cambridge University Press.

    Google Scholar 

  • Paas, F., Tuovinen, J. E., Merrilnboer, J. J. G., & Darabi, A. (2005). A motivational perspective on the relation between mental effort and performance: Optimizing learner involvement in instruction. Educational Technology Research and Development, 53, 5–34.

    Article  Google Scholar 

  • Reeve, J., Nix, G., & Hamm, D. (2003). Testing models of the experience of self determination in intrinsic motivation and the conundrum of choice. Journal of Educational Psychology, 95(2), 375–392.

    Article  Google Scholar 

  • Reigeluth, C. (1997). Instructional theory, practitioner needs, and new directions: Some reflections. Educational Technology, 37(1), 42–47.

    Google Scholar 

  • Ryan, R. M., & Deci, E. L. (2004). Autonomy is no illusion: Self-determination theory and the empirical study of authenticity, awareness and will. In J. Greenberg, S. L. Koole, & T. Pyszczynski (eds.), Handbook of Experimental Existential Psychology (pp. 449–479). New York: Guilford Press.

    Google Scholar 

  • Salomon, G., & Globerson, T. (1989). When teams do not function the way they ought to. International Journal of Educational Research, 13, 89–100.

    Article  Google Scholar 

  • Schnackenberg, H. L., & Sullivan, H. J. (2000). Learner control over full and lean computer-based instruction under differing ability levels. Educational Technology, Research and Development, 48(2), 19–35.

    Article  Google Scholar 

  • Shroff, R., & Vogel, D. (2009). Assessing the factors deemed to support individual student intrinsic motivation in technology supported online and face-to-face discussions. Journal of Information Technology Education, 8, 59–85.

    Google Scholar 

  • Stahl, G. (2007). Scripting group cognition. In F. Fischer, I. Kollar, H. Mandl, & J. M. Haake (eds.), Scripting computer-supported collaborative learning (pp. 327–336). New York, NY: Springer.

    Chapter  Google Scholar 

  • Vandewaetere, M. (2009). The benefits and drawbacks of learner control as a means for creating adaptive learning environments. Retrieved 8 April 2011 from http://umap09.fbk.eu/sites/umap09.fbk.eu/files/paper_164.pdf.

  • Vandewaetere, M., Clarebout, G., & Desmet, P. (2009). The illusion of adaptivity as instructional method in electronic learning environments. In V. Dimitrova, R. Mizoguchi, B. Boulay, & A. Graesser (eds.), Proceedings of the 14th International Conference on Artificial Intelligence in Education: Building Learning Systems that Care: From Knowledge Representation to Affective Modelling (pp. 769–771). The Netherlands: IOS Press.

    Google Scholar 

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Correspondence to Sofia Hadjileontiadou .

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Hadjileontiadou, S., Nikolaidou, G., Hadjileontiadis, L. (2012). Instructional Design on Controlling the Quality of Collaboration in a CSCL Setting Through Illusionary Adaptive Support. In: Jimoyiannis, A. (eds) Research on e-Learning and ICT in Education. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-1083-6_11

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