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Students’ communicative behavior adaptability in CSCL environments

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Abstract

By the proliferation of online courses, the social dimension of computer supported collaborative learning (CSCL) is becoming more important than before. Research shows that communicative behavior adaptation to the computer medium is a critical issue in CSCL social relationship development. Two dominant theories in the CSCL field, social information processing theory and adaptive structuration theory, argue that individuals do not simply receive the technology passively but they adapt their behavior to increase benefits from the technology. This paper develops an instrument in order to operationalize the notion of individual’s communicative behavior adaptability in CSCL. Through an exploratory factor analysis performed on a small sample of post graduate students of an online degree in an Australian university, three factors have been unveiled: (1) individual perception of self-representation, (2) individual perception of compatibility, and (3) individual perception of the use of computer technology. Identification of these factors is expected to facilitate understanding of individuals’ social behaviors in CSCL environment, which in turn will guide the design of CSCL systems. In addition, the paper examines the relationships between the extracted factors and four environmental factors: learner’s characteristics, course characteristics, instructor characteristics, and technology characteristics. The results show that none of these characteristics strongly affect perception of self-representation or perception of the use of computer technology. On the other hand, a strong relationship was found between perception of compatibility and learner’s and course characteristics. The reliability as well as validity of the study is examined and findings are discussed. These findings will provide further insights into the design process of CSCL systems.

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References

  • Benbunan-Fich, R., & Hiltz, S. R. (2003). Mediators of the effectiveness of online courses. IEEE Transactions on Professional Communication, 46(4), 298–312.

    Article  Google Scholar 

  • Bogdan, C., & Pargman, T. C. (2002). Reconsidering support for the members of specialized online communities. The 34th Congress of the Nordic Ergonomics Society, NES (pp. 121–126). Linkopings Universitet.

  • Brandon, D. P., & Hollingshead, A. B. (1999). Collaborative learning and computer supported groups. Communication Education, 48, 109–126.

    Article  Google Scholar 

  • Chidambaram, L. (1996). Relational development in computer supported groups. MIS Quarterly, 20, 143–166.

    Article  Google Scholar 

  • Chin, W. W., Marcolin, B. L., & Newsted, P. R. (2003). A partial least squares latent variable modeling approach for measuring interaction effects: results from a Monte Carlo simulation study and an electronic-mail emotion/adoption study. Information Systems Research, 14, 189–217.

    Article  Google Scholar 

  • Daradoumis, T., Martinez-Mones, A., & Xhafa, F. (2006). A layered framework for evaluating on-line collaborative learning interactions. International Journal of Human-Computer Studies, 64, 622–635.

    Article  Google Scholar 

  • Dewiyanti, S., Brand-Gruwel, S., Jochems, W., & Broers, N. J. (2007). Students experiences with collaborative learning in asynchronous computer-supported collaborative learning environments. Computers in Human Behavior, 23, 496–514.

    Article  Google Scholar 

  • Duran, R. L. (1983). Communicative adaptability: a measure of social communicative competence. Communication Quarterly, 31, 320–326.

    Article  Google Scholar 

  • Dutton, J., & Dutton, M. (2002). How do online students differ from lecture students? Journal of Asynchronous Learning Networks, 6(1), 1–20.

    Google Scholar 

  • Duran, R. L., & Spitzberg, B. H. (1995). Toward the development and validation of a measure of cognitive communication competence. Communication Quarterly, 43(3), 259–275.

    Article  Google Scholar 

  • Fabrigar, L. R., MacCallum, R. C., Wegener, D. T., & Strahan, E. J. (1999). Evaluating the use of exploratory factor analysis in psychological research. Psychological Methods, 4(3), 272–299.

    Article  Google Scholar 

  • Farnham, S., Zaner, M., & Cheng, L. (2001). Supporting sociability in a shared browser. Tokyo: Interact Conference.

    Google Scholar 

  • Gefen, D., & Straub, D. (2005). A practical guide to factorial validity using PLS-graph: tutorial and annotated example. Communications of the Association for Information Systems, 6, 91–109.

    Google Scholar 

  • Goodhue, D., Lewis, W., & Thompson, R. (2006). PLS, small sample size, and statistical power in MIS research. Proceedings of the 39th Hawaii International Conference on System Sciences (pp. 1–10). Hyatt Regency, Kauai.

  • Gorsuch, R. L. (1997). Exploratory factor analysis: its role in item analysis. Journal of Personality Assessment, 68(3), 532–560.

    Article  Google Scholar 

  • Guri-Rosenblit, S. (2005). Eight paradoxes in the implementation process of E-learning in higher education. Higher Education Policy, 18, 5–29.

    Article  Google Scholar 

  • Haenlein, M., & Kaplan, A. M. (2004). A beginner’s guide to partial least squares analysis. Understanding Statistics, 3(4), 283–297.

    Article  Google Scholar 

  • Hair, J. F., Anderson, R. E., Tatham, R. L., & Black, W. C. (1995). Multivariate data analysis with readings (4th ed.). New Jersey: Prentice Hall.

    Google Scholar 

  • Hair, J. F., Black, W. C., J.Babin, B., Anderson, R. E., & L.Tatham, R. (2006). Multivariate Data Analysis, New Jersey, Pearson Education Inc.

  • Karahanna, E., & Straub, D. W. (1999). The psychological origins of perceived usefulness and ease-of-use. Information & Management, 35, 237–250.

    Article  Google Scholar 

  • Karahanna, E., Straub, D. W., & Chervany, N. L. (1999). Information technology adoption across time: a cross-sectional comparison of pre-adoption and post-adoption beliefs. MIS Quarterly, 23(2), 183–213.

    Article  Google Scholar 

  • Kollock, P. (1996). Design principles for online communities. Harvard Conference on the Internet and Society.

  • Kreijns, K., Kirschner, P. A., Jochems, W., & van Buuren, H. (2007). Measuring perceived sociability of computer-supported collaborative learning environments. Computers & Education, 49(2), 176–192.

    Article  Google Scholar 

  • Lee, E. J. (2007). Deindividuation effects on group polarization in computer-mediated communication: the role of group identification, public-self-awareness, and perceived argument quality. Journal of Communication, 57(2), 385–403.

    Article  Google Scholar 

  • Lim, J., & Liu, Y. (2006). The role of cultural diversity and leadership in computer-supported collaborative learning: a content analysis. Information and Software Technology, 48, 142–153.

    Article  Google Scholar 

  • Lin, C. A. (2003). An interactive communication technology adaption model. Communication Theory, 13(4), 345–364.

    Article  Google Scholar 

  • Luppicini, R. (2006). Review of computer mediated communication research for education. Instructional Science, 35(2), 141–185.

    Article  Google Scholar 

  • McMahon, J., Gardner, J., Gray, C., & Mulhern, G. (1999). Barriers to student computer usage: staff and student perceptions. Journal of Computer Assisted Learning, 15, 302–311.

    Article  Google Scholar 

  • Moore, G. C., & Benbasat, I. (1991). Development of an instrument to measure the perception of adopting and information technology innovation. Information Systems Research, 2(3), 192–222.

    Article  Google Scholar 

  • Muilenburga, L. Y., & Berge, Z. L. (2005). Student barriers to online learning: a factor analytic study. Distance Education, 26(1), 29–48.

    Article  Google Scholar 

  • Norman, D. A. (2007). The design of future things. New York: Basic Books.

    Google Scholar 

  • Raaij, E. M. V., & Schepers, J. J. L. (2008). The acceptance and use of a virtual learning environment in China. Computers & Education, 50, 838–852.

    Article  Google Scholar 

  • Riva, G. (2002). The sociocognitive psychology of computer-mediated communication: the present and future of technology-based interactions. Cyberpsychology & Behavior, 5(6), 581–598.

    Article  Google Scholar 

  • Rogers, E. M. (1995). Diffusion of innovations (4th ed.). New York: Free.

    Google Scholar 

  • Schepers, J., de Jong, A., Wetzels, M., & de Ruyter, K. (2008). Psychological safety and social support in groupware adoption: a multi-level assessment in education. Computers & Education, 51(2), 757–775.

    Google Scholar 

  • Shelley, J. O. (1998). Factors that affect the adoption and use of electronic mail by K-12 foreign language educators. Computers in Human Behavior, 14(2), 269–285.

    Article  Google Scholar 

  • Sherblom, J. (1998). Direction, function, and signature in electronic mail. The Journal of Business Communication, 25(4), 39–54.

    Article  Google Scholar 

  • Stahl, G., & Hesse, F. (2006). Social practices of computer-supported collaborative learning. Computer-Supported Collaborative Learning, 1, 409–412.

    Article  Google Scholar 

  • Straub, D., Boudreau, M.-C., & Gefen, D. (2004). Validation guidelines for IS positivist research. Communications of the Association for Information Systems, 13, 380–427.

    Google Scholar 

  • Tolmie, A., & Boyle, J. (2000). Factors influencing the success of computer mediated communication (CMC) environments in university teaching: a review and case study. Computers & Education, 34, 119–140.

    Article  Google Scholar 

  • Tu, C.-H. (2002). The measurement of social presence in an online learning environment. April: International Journal of E-Learning.

    Google Scholar 

  • Walther, J. (1992). Interpersonal effects in computer-mediated interaction: a relational perspective. Communication Research, 19(1), 52–90.

    Article  Google Scholar 

  • Walther, J. B., & Boyd, S. (2002). Attraction to computer-mediated social support. In C. A. Lin & D. Atkin (Eds.), Communication technology and society: Audience adoption and uses. Cresskill: Hampton.

    Google Scholar 

  • Walther, J. B., & Burgoon, J. K. (1992). Relational communication in computer-mediated interaction. Human Communication Research, 19(1), 50–88.

    Article  Google Scholar 

  • Walther, J. B., Anderson, J. F., & David, W. P. (1994). Interpersonal effects in computer-mediated interactions: a meta-analysis of social and antisocial communication. Communication Research, 21(4), 460–487.

    Article  Google Scholar 

  • White, C. H., & Burgoon, J. K. (2001). Adaptation and communicative design: patterns of interaction in truthful and deceptive conversation. Human Communication Research, 27, 9–37.

    Article  Google Scholar 

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Authors and Affiliations

  1. Faculty of Business and Economics, Macquarie University, Sydney, 2109, Australia

    Babak Abedin

  2. Australian School of Business, University of New South Wales, Sydney, 2052, Australia

    Farhad Daneshgar & John D’Ambra

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  1. Babak Abedin
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  2. Farhad Daneshgar
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  3. John D’Ambra
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Correspondence to Babak Abedin.

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Abedin, B., Daneshgar, F. & D’Ambra, J. Students’ communicative behavior adaptability in CSCL environments. Educ Inf Technol 16, 227–244 (2011). https://doi.org/10.1007/s10639-009-9116-x

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  • DOI: https://doi.org/10.1007/s10639-009-9116-x

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