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Digital Knowledge Mapping in Educational Contexts

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Digital Knowledge Maps in Education

Abstract

This chapter provides an introduction to knowledge mapping for the novice reader. It will start with a brief overview of the historical origins of concept maps and the learning theories that underpin them. It is followed with a discussion on the various definitions of maps by the authors who are postulating their own definition. Additional terminology is presented in the section explaining the anatomy of a knowledge map, while a simple ten-step process guides readers through the creation of their own map. This can either be a concept or a mind map, with the difference explained in the next section. Maps can be constructed either manually or digitally, with a short explanation of the advantages and disadvantages of each approach before launching into a section that provides an indication of various mapping software and their main features. The chapter concludes with a synopsis of the current knowledge base in the research literature on knowledge maps in educational contexts. It will enable familiarisation with the field and provide a foundation for the following chapters containing empirical and theoretical work, which form the remainder of the book.

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References

  • Al-Diban, S., & Ifenthaler, D. (2011). Comparison of two analysis approaches for measuring externalized mental models: Implications for diagnostics and applications. Journal of Educational Technology & Society, 14(2), 16–30.

    Google Scholar 

  • Amadieu, F., van Gog, T., Paas, F. G., Tricot, A., & Mariné, C. (2009). Effects of prior knowledge and concept-map structure on disorientation, cognitive load, and learning. Learning and Instruction, 19(5), 376–386. doi:10.1016/j.learninstruc.2009.02.005.

    Article  Google Scholar 

  • Ausubel, D. P. (1968). Educational psychology: A cognitive view. New York, NY: Hole, Rinehart and Winston.

    Google Scholar 

  • Bryson, J., Ackermann, F., Eden, C., & Finn, C. B. (2004). Visible thinking: Unlocking causal mapping for practical business results. Chichester: John Wiley & Sons.

    Google Scholar 

  • Buzan, B., & Buzan, T. (2000). The mind map book: How to use radiant thinking to maximize your brain’s untapped potential. New York, NY: Plume.

    Google Scholar 

  • Cañas, A. J., Hill, R., Carff, R., Suri, N., Lott, J., Eskridge, T., et al. (2004). CmapTools: A knowledge modeling and sharing environment. In A. J. Cañas, J. D. Novak, & F. M. González (Eds.), Concept maps: Theory, methodology, technology, Proceedings of the First International Conference on Concept Mapping (pp. 125–133). Pamplona: Universidad Pública de Navarra.

    Google Scholar 

  • Chang, K. E., Sung, Y. T., & Chen, S. F. (2001). Learning through computer-based concept mapping with scaffolding aid. Journal of Computer Assisted Learning, 17(1), 21–33.

    Article  Google Scholar 

  • Clariana, R. B. (2010). Deriving individual and group knowledge structure from network diagrams and from essays. In D. Ifenthaler, P. Pirnay-Dummer, & N. M. Seel (Eds.), Computer-based diagnostics and systematic analysis of knowledge (pp. 117–130). New York, NY: Springer.

    Chapter  Google Scholar 

  • Coutinho C.P. (2009). Individual versus collaborative computer-supported concept mapping: a study with adult learners. Proceedings of World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education 2009 (pp. 1173–1180). Vancouver, Canada.

    Google Scholar 

  • Dansereau, D. (2005). Node-link mapping principles for visualizing information and knowledge. In S.-O. Tergan & T. Keller (Eds.), Knowledge and information visualization: Searching for synergies (pp. 53–73). Heidelberg: Springer.

    Google Scholar 

  • Esiobu, G., & Soyibo, K. (1995). Effects of concept and vee mapping under three learning modes on students; cognitive achievement in ecology and genetics. Journal of Research in Science Teaching, 32(9), 971–995.

    Article  Google Scholar 

  • Gurlitt, J., & Renkl, A. (2010). Prior knowledge activation: How different concept mapping tasks lead to substantial differences in cognitive processes, learning outcomes, and perceived self-efficacy. Instructional Science, 38, 417–433. doi:10.1007/s11251-008-9090-5.

    Article  Google Scholar 

  • Hilbert, T. S., & Renkl, A. (2008). Concept mapping as a follow-up strategy to learning from texts: What characterizes good and poor mappers? Instructional Science, 36, 53–73.

    Article  Google Scholar 

  • Hwang, G.-J., Shi, Y.-R., & Chu, H.-C. (2011). A concept map approach to developing collaborative Mindtools for context-aware ubiquitous learning. British Journal of Educational Technology, 42, 778–789.

    Article  Google Scholar 

  • Ifenthaler, D. (2010a). Relational, structural, and semantic analysis of graphical representations and concept maps. Educational Technology Research and Development, 58(1), 81–97. doi:10.1007/s11423-008-9087-4.

    Article  Google Scholar 

  • Ifenthaler, D. (2010b). Scope of graphical indices in educational diagnostics. In D. Ifenthaler, P. Pirnay-Dummer, & N. M. Seel (Eds.), Computer-based diagnostics and systematic analysis of knowledge (pp. 213–234). New York, NY: Springer.

    Chapter  Google Scholar 

  • Ifenthaler, D., Masduki, I., & Seel, N. M. (2011). The mystery of cognitive structure and how we can detect it. Tracking the development of cognitive structures over time. Instructional Science, 39(1), 41–61. doi:10.1007/s11251-009-9097-6.

    Article  Google Scholar 

  • Ifenthaler, D., & Pirnay-Dummer, P. (2013). Model-based tools for knowledge assessment. In J. M. Spector, M. D. Merrill, J. Elen, & M. J. Bishop (Eds.), Handbook of research on educational communications and technology (4th ed., pp. 289–301). New York, NY: Springer.

    Google Scholar 

  • Johnson, T. E., Ifenthaler, D., Pirnay-Dummer, P., & Spector, J. M. (2009). Using concept maps to assess individuals and teams in collaborative learning environments. In P. L. Torres & R. C. V. Marriott (Eds.), Handbook of research on collaborative learning using concept mapping (pp. 358–381). Hershey, PA: Information Science Publishing.

    Chapter  Google Scholar 

  • Jonassen, D. H., & Cho, Y. H. (2008). Externalizing mental models with mindtools. In D. Ifenthaler, P. Pirnay-Dummer, & J. M. Spector (Eds.), Understanding models for learning and instruction. Essays in honor of Norbert M. Seel (pp. 145–160). New York, NY: Springer.

    Chapter  Google Scholar 

  • Kwon, S. Y., & Cifuentes, L. (2007). Using computers to individually-generate vs. collaboratively-generate concept maps. Educational Technology & Society, 10(4), 269–280.

    Google Scholar 

  • Mandl, H., & Fisher, F. (2000). Wissen sichtbar machen—Wissensmanagement mit Mapping-Techniken. Göttingen: Hogrefe.

    Google Scholar 

  • Markíczy, L., & Goldberg, J. (1995). A method of eliciting and comparing causal maps. Journal of Management, 21, 305–333.

    Article  Google Scholar 

  • Ng, W., & Hanewald, R. (2010). Concept maps as a tool for promoting online collaborative learning in virtual teams with pre-service teachers. In R. Marriott & P. Torres (Eds.), Handbook of research on collaborative learning using concept mapping (pp. 81–99). Hershey, PA: Information Science Publishing.

    Google Scholar 

  • Nicoll, G., Francisco, J., & Nakhleh, M. B. (2001). An investigation of the value of using Concept Maps in general chemistry. Journal of Chemical Education, 78(8), 1111–1117.

    Article  Google Scholar 

  • Novak, J. D. (1991). Clarify with concept maps: A tool for students and teachers alike. The Science Teacher, 58(7), 45–49.

    Google Scholar 

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

    Google Scholar 

  • Novak, J. D., & Cañas, A. J. (2006, January). The theory underlying concept maps and how to construct and use them. Technical Report IHMC C-map Tools. Florida Institute for Human and machine Cognition, Pensacola Fl, 32502 Retrieved March 1, 2008, from http://cmap.ihmc.us/Publications/ResearchPapers/TheoryCmaps/TheoryUnderlyingConceptMaps.htm

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

    Book  Google Scholar 

  • Nückles, M., Gurlitt, J., Pabst, T., & Renkl, A. (2004). Mind maps und concept maps. Visualisieren—Organisieren—Kommunizieren. München: DTV.

    Google Scholar 

  • Pirnay-Dummer, P., Ifenthaler, D., & Seel, N. M. (2012). Knowledge representation. In N. M. Seel (Ed.), Encyclopedia of the sciences of learning (Vol. 11, pp. 1689–1692). New York, NY: Springer.

    Google Scholar 

  • Pirnay-Dummer, P., Ifenthaler, D., & Spector, J. M. (2010). Highly integrated model assessment technology and tools. Educational Technology Research and Development, 58(1), 3–18. doi:10.1007/s11423-009-9119-8.

    Article  Google Scholar 

  • Ruiz-Primo, M. A., & Shavelson, R. J. (1996). Problems and issues in the use of concept map in science assessment. Journal of Research in Science Teaching, 33(6), 569–600.

    Article  Google Scholar 

  • Schmid, R. F., & Telaro, G. (1990). Concept mapping as an instructional strategy for high school biology. Journal of Educational Research, 84(2), 78–85.

    Google Scholar 

  • Schvaneveldt, R. W. (Ed.). (1990). Pathfinder associative networks: Studies in knowledge organization. Norwood, NJ: Ablex Publishing Corporation.

    Google Scholar 

  • Shute, V. J., Jeong, A. C., Spector, J. M., Seel, N. M., & Johnson, T. E. (2009). Model-based methods for assessment, learning, and instruction: Innovative educational technology at Florida State University. In M. Orey (Ed.), Educational media and technology yearbook (pp. 61–79). New York, NY: Springer.

    Chapter  Google Scholar 

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Correspondence to Ria Hanewald .

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Hanewald, R., Ifenthaler, D. (2014). Digital Knowledge Mapping in Educational Contexts. In: Ifenthaler, D., Hanewald, R. (eds) Digital Knowledge Maps in Education. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-3178-7_1

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