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Graduate Students Using Concept Mapping to Visualize Instructional Design Processes

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Abstract

This study was conducted to investigate concept mapping as an instructional technique to help student designers tackle complex issues in instructional design. Specifically, this study focuses on three dimensions: perceived learning, collaborative learning, and usability. We examined how student designers perceived the use of Cacoo as a concept mapping tool in three different instructional design courses and how a concept mapping approach facilitated or constrained students’ design process. The study participants were 24 graduate students enrolled in three different courses over the span of a year. Through quantitative descriptive analysis and qualitative coding, our data revealed students’ overall positive perception toward Cacoo and demonstrated various means in which student designers successfully utilized the concept mapping approach to create external representations. We also provided implications for practitioners and recommendations for future researchers.

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References

  • Adesope, O. & Nesbit, J. (2009). Learning with collaborative concept maps: A meta-analysis. In T. Bastiaens, J. Dron & C. Xin (Eds.), Proceedings of E-Learn 2009--World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education (pp. 2082–2091). Vancouver, Canada: Association for the Advancement of Computing in Education (AACE). Retrieved from https://www.learntechlib.org/p/32771/.

  • Assaraf, O. B. Z., Dodick, J., & Tripto, J. (2013). High school students’ understanding of the human body system. Research in Science Education, 43(1), 33–56.

    Article  Google Scholar 

  • Ausubel, D. P., Novak, J. D., & Hanesian, H. (1978). Educational psychology: A cognitive view. NY: Holt, Rinehart, and Winston.

    Google Scholar 

  • Baaki, J., & Luo, T. (2017). Stimulating students’ use of external representations for a distance education time machine design. TechTrends, 61, 355–365.

    Article  Google Scholar 

  • Baaki, J., Tracey, M. W., & Hutchinson, A. (2016). Give us something to react to and make it rich: designers reflecting-in-action with external representations. International Journal of technology and Design Education. https://doi.org/10.1007/s10798-016-9371-2.

  • Chiu, C. H. (2003). Exploring how primary school students function in computer supported collaborative learning. International Journal of Continuing Engineering Education and Life Long Learning, 13(3–4), 258–267.

    Article  Google Scholar 

  • Christensen, T. K., & Osguthorpe, R. T. (2004). How do instructional-design practitioners make instructional-strategy decisions? Performance Improvement Quarterly, 17(3), 45.

    Article  Google Scholar 

  • Cline, B. E., Brewster, C. C., & Fell, R. D. (2010). A rule-based system for automatically evaluating student concept maps. Expert Systems with Applications, 37(3), 2282–2291.

    Article  Google Scholar 

  • Conlon, T. (2006). Formative assessment of classroom concept maps: the reasonable fallible analyser. Journal of Interactive Learning Research, 17(1), 15–36.

    Google Scholar 

  • Cross, N. (2011). Design thinking: Understanding how designers think and work. London: Berg Publishers.

    Book  Google Scholar 

  • Edmondson, K. M. (2000). Assessing science understanding through concept maps. In J. Mintzes, J. Wandersee, & J. Novak (Eds.), Assessing science understanding (pp. 15–40). San Diego: Academic Press.

    Google Scholar 

  • Faste, H., & Lin, H. (2012). The untapped promise of digital mind maps. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (pp. 1017–1026). ACM.

  • Gkotzos, D., & Potamias, G. (2012). Collaborative concept mapping via Multimodal ICT tools. In INTED2012 proceedings (pp. 4594–4600).

  • Gordon, J., & Zemke, R. (2000). The attack on ISD. Training, 37(4), 42–45.

    Google Scholar 

  • Guindon, R. (1990). Designing the design process: exploiting opportunistic thoughts. Human Computer Interaction, 5, 305–344.

    Article  Google Scholar 

  • Harris, C., & Zha, S. (2013). Concept mapping: a critical thinking technique. Education, 134(2), 207–211.

    Google Scholar 

  • Hay, D. B., & Kinchin, I. M. (2006). Using concept maps to reveal conceptual typologies. Education and Training, 48(2/3), 127–142.

    Article  Google Scholar 

  • Hay, D., Kinchin, I., & Lygo-Baker, S. (2008). Making learning visible: the role of concept mapping in higher education. Studies in Higher Education, 33(3), 295–311.

    Article  Google Scholar 

  • Hayes, J. (1980). The complete problem solver. Philadelphia: The Franklin Institute Press.

    Google Scholar 

  • Huybrechts, L., Schoffelen, J., Schepers, S., & Braspenning, L. (2012). Design representations: Connecting, making, and reflecting in design research education. In D. Boutsen (Ed.), Good practices best practices: Highlighting the compound idea of education, creativity, research, and practice (pp. 35–42). Brussels: Sint-Lucas School of Architecture.

    Google Scholar 

  • Hwang, G. J., Yang, L. H., & Wang, S. Y. (2013). A concept map-embedded educational computer game for improving students’ learning performance in natural science courses. Computers & Education, 69, 121–130. https://doi.org/10.1016/j.compedu.2013.07.008.

    Article  Google Scholar 

  • Hwang, G. J., Kuo, F. R., Chen, N. S., & Ho, H. J. (2014). Effects of an integrated concept mapping and web-based problem-solving approach on students’ learning achievements, perceptions and cognitive loads. Computers & Education, 71, 77–86. https://doi.org/10.1016/j.compedu.2013.09.013.

    Article  Google Scholar 

  • Jang, S. J. (2010). The impact on incorporating collaborative concept mapping with coteaching techniques in elementary science classes. School Science and Mathematics, 110(2), 86–97.

    Article  Google Scholar 

  • Jonassen, D. H. (1997). Instructional design models for well-structured and ill-structured problem-solving learning outcomes. Educational Technology Research and Development, 45(1), 65–95.

    Article  Google Scholar 

  • Kinchin, I. M., Hay, D. B., & Adams, A. (2000). How a qualitative approach to concept map analysis can be used to aid learning by illustrating patterns of conceptual development. Educational Research, 42(1), 43–57.

    Article  Google Scholar 

  • Lin, H., & Faste, H. (2011). Digital mind mapping: innovations for real-time collaborative thinking. In CHI'11 Extended Abstracts on Human Factors in Computing Systems (pp. 2137–2142). ACM.

  • Lincoln, Y. S., & Guba, E. G. (1985). Naturalistic inquiry. Beverly Hills: Sage Publications.

    Book  Google Scholar 

  • Liu, S. H., & Lee, G. G. (2013). Using a concept map knowledge management system to enhance the learning of biology. Computers & Education, 68, 105–116.

    Article  Google Scholar 

  • Martinez-Maldonado, R., Yacef, K., & Kay, J. (2015). TSCL: a conceptual model to inform understanding of collaborative learning processes at interactive tabletops. International Journal of Human-Computer Studies, 83, 62–82.

    Article  Google Scholar 

  • Nesbit, J. C., & Adesope, O. O. (2013). Concept maps for learning. In G. Schraw, M. T. McCrudden, & D. Robinson (Eds.), Learning through visual displays (pp. 303–328). Charlotte: Information Age Publishing.

    Google Scholar 

  • Newell, A., & Simon, H. A. (1972). Human problem solving. Englewood Cliffs: Prentice-Hall.

    Google Scholar 

  • Novak, J. D. (1998). Learning, creating and using knowledge: Concept maps as facilitative tools in schools and corporations. Mahwah: Lawrence Erlbaum.

    Book  Google Scholar 

  • Novak, J. D. (2010). Learning, creating, and using knowledge: Concept maps as facilitative tools in schools and corporations. Routledge.

  • Novak, J. D., & Gowin, D. B. (1984). Learning how to learn. Cambridge: Cambridge University Press.

    Book  Google Scholar 

  • O'Donnell, A., Reeve, J., & Smith, J. (2011). Educational psychology: Reflection for action. Wiley.

  • Perez, R. S., & Emery, C. D. (1995). Designer thinking: how novices and experts think about instructional design. Performance Improvement Quarterly, 8(3), 80–95.

    Article  Google Scholar 

  • Reiser, R. A. (2001). A history of instructional design and technology: part II: a history of instructional design. Educational Technology Research and Development, 49(2), 57–67.

    Article  Google Scholar 

  • Reiser, R. A., & Dempsey, J. V. (Eds.). (2017). Trends and issues in instructional design and technology. Boston: Pearson.

    Google Scholar 

  • Rosen, Y., & Tager, M. (2014). Making student thinking visible through a concept map in computer-based assessment of critical thinking. Journal of Educational Computing Research, 50(2), 249–270.

    Article  Google Scholar 

  • Rumelhart, D. E. (1980). Schemata: The Building Blocks of Cognition (Theoretical Issues in Reading Comprehension ed.). Hillsdale: Erlbaum.

  • Schön, D. A. (1983). The reflective practitioner: How professionals think in action. Boston: Basics Books, Inc.

    Google Scholar 

  • Schön, D. A. (1988). Designing: rules, types, and worlds. Design Studies, 9(3), 181–190.

    Article  Google Scholar 

  • Stenning, K., & Oberlander, J. (1995). A cognitive theory of graphical and linguistic reasoning: logic and implementation. Cognitive Science, 19, 97–140.

    Article  Google Scholar 

  • Stoyanov, S. (1997). Cognitive mapping as a learning method in hypermedia design. Journal of Interactive Learning Research, 8(3), 309–323.

    Google Scholar 

  • Stoyanova, N., & Kommers, P. (2002). Concept mapping as a medium of shared cognition in computer-supported collaborative problem solving. Journal of Interactive Learning Research, 13(1), 111–133.

    Google Scholar 

  • Taylor, S. E., & Crocker, J. (1981). Schematic bases of social information processing. In E. T. Higgins, C. A. Herman, & M. P. Zanna (Eds.), Social cognition: The Ontario symposium on personality and social psychology (pp. 89–134). Hillsdale: Erlbaum.

    Google Scholar 

  • Tessmer, M., & Wedman, J. F. (1990). A layers-of-necessity instructional development model. Educational Technology Research and Development, 38(2), 77–85.

    Article  Google Scholar 

  • Tracey, M. W., Hutchinson, A., & Grzebyk, T. Q. (2014). Instructional designers as reflective practitioners: developing professional identity through reflection. Educational Technology Research and Development, 62(3), 315–334.

    Article  Google Scholar 

  • Van Boxtel, C., van der Linden, J. L., & Kanselaar, G. (2000). Collaborative learning tasks and the elaboration of conceptual knowledge. Learning and Instruction, 10(4), 311–330.

    Article  Google Scholar 

  • van Merriënboer, J. J., & Kirschner, P. A. (2007). Ten steps to complex learning: A systematic approach to four-component instructional design. Mahwah: Lawrence Erlbaum Associates, Publishers.

    Book  Google Scholar 

  • VanGundy, A. B. (1981). Techniques of structured problem solving. New York: Van Nostrand Reinhold.

    Google Scholar 

  • Wang, H. Y., Huang, I., & Hwang, G. J. (2016). Effects of a question prompt-based concept mapping approach on students’ learning achievements, attitudes and 5C competences in project-based computer course activities. Journal of Educational Technology & Society, 19(3), 351.

    Google Scholar 

  • Weinerth, K., Koenig, V., Brunner, M., & Martin, R. (2014). Concept maps: a useful and usable tool for computer-based knowledge assessment? A literature review with a focus on usability. Computers & Education, 78, 201–209.

    Article  Google Scholar 

  • Welch, M., Barlex, D., & Lim, H. S. (2000). Sketching: friend or foe to the novice designer? International Journal of Technology and Design Education, 102(2), 125–148.

    Article  Google Scholar 

  • Wu, P. H., Hwang, G. J., Milrad, M., Ke, H. R., & Huang, Y. M. (2012). An innovative concept map approach for improving students’ learning performance with an instant feedback mechanism. British Journal of Educational Technology, 43(2), 217–232.

    Article  Google Scholar 

  • Yang, C. C., Hwang, G. J., Hung, C. M., & Tseng, S. S. (2013). An evaluation of the learning effectiveness of concept map-based science book reading via mobile devices. Journal of Educational Technology & Society, 16(3), 167–178.

    Google Scholar 

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Correspondence to Tian Luo.

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Luo, T., Baaki, J. Graduate Students Using Concept Mapping to Visualize Instructional Design Processes. TechTrends 63, 451–462 (2019). https://doi.org/10.1007/s11528-018-0368-4

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