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The Effect of Teaching Strategies and Students’ Cognitive Style on the Online Discussion Environment

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Abstract

One issue of concern to teachers is the effect of teaching strategies and students’ cognitive style on knowledge construction via online discussions in social networks. This study aimed to explore which teaching strategies lead to better learning performance and which cognitive styles affect learning from teaching strategies based on online discussions in a social network setting. Participants in the study engaged in four discussion activities: an abstract writing (AW) discussion, a collaborative problem-solving-based discussion, a project-based discussion, and a peer-assessment discussion, and the participation was used to facilitate comparisons between each group. The following research questions were examined: (a) what are the differences in knowledge construction behavior among students with different cognitive styles in different online discussions according to quantitative content analysis? (b) Are there different patterns of knowledge construction behavior among students with different cognitive styles in different online discussions? We found that students in the Serialist groups showed better performance in terms of the number and the diversity of knowledge construction behaviors. Further, in terms of teaching strategies, AW discussion activities led to more negotiation, coordination, compromise, co-construction, and knowledge construction behaviors, while problem-solving-based discussion activities led to more information acquisition and sharing. We discuss the results and offer suggestions.

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References

  • Allinson, C. W., & Hayes, J. (1996). The cognitive style index: A measure of intuition analysis for organisational research. Journal of Management Education Studies, 33(1), 119–135.

    Article  Google Scholar 

  • Allport, G. W. (1937). Personality: A psychological interpretation. New York: Holt and Co.

    Google Scholar 

  • Bakeman, R., & Gottman, J. M. (1997). Observing interaction: An introduction to sequential analysis (2nd ed.). Cambridge: Cambridge University Press.

    Book  Google Scholar 

  • Butin, D. W. (2010). The education dissertation: A guide for practitioner scholars. Thousand Oaks, CA: Corwin Press.

    Google Scholar 

  • Butler, A., & Christofili, M. (2014). Project-based learning communities in developmental education: A case study of lessons learned. Community College Journal of Research and Practice, 38(7), 638–650.

    Article  Google Scholar 

  • Chiu, M. M. (2013). Statistical discourse analysis of an online discussion: Cognition and social metacognition. In Productive multivocality in the analysis of group interactions (pp. 417–433). New York: Springer.

    Google Scholar 

  • Chua, F. F., & Choo, C. H. (2013). Integrating social network services into virtual learning environment. In Advanced Learning Technologies (ICALT), 2013 IEEE 13th International Conference in Beijing, China (pp. 264–266). Beijing: IEEE.

  • Clewley, N., Chen, S. Y., & Liu, X. (2010). Cognitive styles and search engine preferences: Field dependence/independence vs holism/serialism. Journal of Documentation, 66(4), 585–603.

    Article  Google Scholar 

  • Clewley, N., Chen, S. Y., & Liu, X. (2011). Mining learning preferences in web-based instruction: Holists vs. serialists. Journal of Educational Technology and Society, 14(4), 266–277.

    Google Scholar 

  • De Wever, B., Schellens, T., Valcke, M., & Van Keer, H. (2006). Content analysis schemes to analyze transcripts of online asynchronous discussion groups: A review. Computers and Education, 46(1), 6–28.

    Article  Google Scholar 

  • Ford, N. (1985). Learning styles and strategies of postgraduate students. British Journal of Educational Technology, 16, 65–79.

    Article  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(4), 397–431.

    Article  Google Scholar 

  • Guo, W., Chen, Y., Lei, J., & Wen, Y. (2014). The effects of facilitating feedback on online learners’ cognitive engagement: Evidence from the asynchronous online discussion. Education Sciences, 4(2), 193–208.

    Article  Google Scholar 

  • Higgins, K., & Harreveld, R. E. (2013). Professional development and the university casual academic: Integration and support strategies for distance education. Distance Education, 34(2), 189–200.

    Article  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 and Education, 57, 1459–1468.

    Article  Google Scholar 

  • Huai, H. (2000). Cognitive style and memory capacity: Effects of concept mapping as a learning method. Unpublished Doctoral Dissertation, University of Twente, Enschede.

  • Jeong, A. C. (2003). The sequential analysis of group interaction and critical thinking in online. The American Journal of Distance Education, 17(1), 25–43.

    Article  Google Scholar 

  • Liu, X., & Li, L. (2014). Assessment training effects on student assessment skills and task performance in a technology-facilitated peer assessment. Assessment and Evaluation in Higher Education, 39(3), 275–292.

    Article  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.

    Article  Google Scholar 

  • Mampadi, F., & Mokotedi, P. (2012). Towards effective combination of prior knowledge and cognitive styles in adaptive educational hypermedia systems. International Journal of Emerging Technologies in Learning, 7(3), 11–18.

    Google Scholar 

  • OECD. (2012). Draft PISA 2015 collaborative problem solving assessment framework (EDU/PISA/GB(2012)11). In Presented at the 33rd meeting of the PGB, Tallinn, Estonia, 16–18 April 2012.

  • Pask, G. (1976). Styles and strategies of learning. British Journal of Educational Psychology, 46, 128–148.

    Article  Google Scholar 

  • Posey, L., & Pintz, C. (2006). Online teaching strategies to improve collaboration among nursing students. Nurse Education Today, 26(8), 680–687.

    Article  Google Scholar 

  • Redding, R. E. (1995). Cognitive task analysis for instructional design: Applications in distance education. Distance Education, 16(1), 88–106.

    Article  Google Scholar 

  • Riding, R., & Cheema, I. (1991). Cognitive styles—An overview and integration. Educational Psychology, 11(3–4), 193–215.

    Article  Google Scholar 

  • Riding, R., & Douglas, G. (1993). The effect of cognitive style and mode of presentation on learning performance. British Journal of Educational Psychology, 63(2), 297–307.

    Article  Google Scholar 

  • Riding, R., & Rayner, S. (2013). Cognitive styles and learning strategies: Understanding style differences in learning and behavior. New York: Routledge.

    Google Scholar 

  • Sung, Y. T., Chang, K. E., & Yu, W. C. (2011). Evaluating the reliability and impact of a quality-assurance system for E-learning courseware. Computers and Education, 57, 1615–1627.

    Article  Google Scholar 

  • Witkin, H. A. (1962). Psychological differentiation: Studies of development. New York: L. Erlbaum Associates.

    Book  Google Scholar 

  • Witkin, H. A., Moore, C. A., Goodenough, D. R., & Cox, P. W. (1977). Field-dependent and field-independent cognitive styles and their educational implications. Review of Educational Research, 47, 1–64.

    Article  Google Scholar 

  • Wu, S. Y., & Hou, H. T. (2015). How cognitive styles affect the learning behaviors of online problem-solving based discussion activity a lag sequential analysis. Journal of Educational Computing Research, 52(2), 277–298.

    Article  Google Scholar 

  • Wu, S. Y., Hou, H. T., Hwang, W. Y., & Liu, E. Z. F. (2013). Analysis of learning behavior in problem solving-based and project-based discussion activities within the seamless online learning integrated discussion (SOLID) system. Journal of Educational Computing Research, 49(1), 61–82.

    Article  Google Scholar 

  • Yoo, S., Lee, K., Lee, S. H., Roh, H., Lee, J. T., Rhee, B. D., & Choi, I. (2014). Peer assessment of small-group presentations by medical students and its implications. Korean Journal of Medical Education, 26(1), 31–40.

    Article  Google Scholar 

Download references

Acknowledgments

This research was supported by the Ministry of Science and Technology (MOST), Taiwan, under Grant Nos. MOST 102-2511-S-426-001-MY2, and MOST-104-2511-S-426-001-MY2.

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  1. Department of Information Communication, University of Kang Ning, No. 188, Sec. 5, Anzhong Rd., Annan Dist., T’ai-nan City, 709, Taiwan, ROC

    Sheng-Yi Wu

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  1. Sheng-Yi Wu
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Correspondence to Sheng-Yi Wu.

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Wu, SY. The Effect of Teaching Strategies and Students’ Cognitive Style on the Online Discussion Environment. Asia-Pacific Edu Res 25, 267–277 (2016). https://doi.org/10.1007/s40299-015-0259-9

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