June 1997 | EDO-IR-97-05 |
by Eric Plotnick
This ERIC Digest is adapted from WWW documents prepared by Jan W.A. Lanzing, Department of
Educational Instrumentation, Faculty of Educational Science and Technology, University of Twente,
The Netherlands.
In the 1960s, Joseph D. Novak (1993) at Cornell University began to study the concept mapping technique. His work was based on the theories of David Ausubel (1968), who stressed the importance of prior knowledge in being able to learn about new concepts. Novak concluded that "Meaningful learning involves the assimilation of new concepts and propositions into existing cognitive structures." A concept map is a graphical representation where nodes (points or vertices) represent concepts, and links (arcs or lines) represent the relationships between concepts. The concepts, and sometimes the links, are labeled on the concept map. The links between the concepts can be one-way, two-way, or non-directional. The concepts and the links may be categorized, and the concept map may show temporal or causal relationships between concepts.
Concept mapping is a type of knowledge representation. Jonassen & Grabowski (1993, p. 433) state that structural knowledge may be seen as a separate type of knowledge. "Structural knowledge provides the conceptual basis for why. It describes how prior knowledge is interconnected. . . . Structural knowledge is most often depicted in terms of some sort of concept map that visually describes the relationships between ideas in a knowledge domain." Representing knowledge in the visual format of a concept map allows one to gain an overview of a domain of knowledge. Because the nodes contain only a keyword or a short sentence, more interpretation is required of the reader, but this may be positive. Concept mapping can be used for several purposes:
Visual representation has several advantages:
Designing hypertext is an activity with inherent problems. Botafogo, Rivlin & Schneiderman (1992) describe a dilemma faced by designers of hypertext authoring systems. In order to stimulate authors to write clearly structured hypertext (usually hierarchical), they have to decide when to force authors to reflect upon the structure of their work. Imposing a hierarchical structure from the beginning may result in too many restrictions for the author, while any effort to stimulate hierarchy afterwards is too late, and it may even be impossible for authors to restructure the jungle of nodes and relationships. Concept mapping may be a good intermediate step for authors to use to reflect upon their work when developing hypermedia.
Concept mapping is also gaining inroads as a tool for problem-solving in education. Concept mapping may be used to enhance the problem-solving phases of generating alternative solutions and options. Since problem-solving in education is usually done in small groups, learning should also benefit from the communication enhancing properties of concept mapping.
Jonassen (1990) proposes that few of the computer tools used today for learning have been designed as learning tools. Usually educators use existing tools for teaching purposes. According to Jonassen, concept mapping computer tools belong to the rare category of computer tools that were designed specifically for learning. Some of the advantages of computer support for concept mapping include:
Anderson-Inman & Zeitz (1993) describe the classroom use of Inspiration and find that it encourages users to revise or change the maps (compared to maps drawn with paper and pencil). The graphical capabilities of Inspiration help users personalize concept maps. These capabilities also provide an incentive for users to manipulate concepts and revise conceptual relationships.
Concept mapping is a technique for representing the structure of information visually. There are several uses for concept mapping, such as idea generation, design support, communication enhancement, learning enhancement, and assessment. A wide range of computer software for concept mapping is now available for most of the popular computers used in education.
Anderson-Inman, L.,& Zeitz, L. (1993, August/September). Computer-based concept-mapping: Active studying for active learners. The Computing Teacher, 21(1). 6-8, 10-11. (EJ 469 254).
Ausubel, D. (1968). Educational psychology: A cognitive view. New York: Holt, Rinehart, and Winston.
Bitner, B.L. (1996). Interactions between hemisphericity and learning type, and concept mapping attributes of preservice and inservice teachers. Paper presented at the Annual Meeting of the National Association for Research in Science Teaching (St. Louis, MO, March 31-April 4, 1996). (ED 400 196)
Botafogo, R. A., Rivlin, E., & Schneiderman, B. (1992). Structural analysis of hypertexts: Identifying hierarchies and useful metrics. ACM Transactions on Information Systems, 10, 142-180.
Conklin, E. J. (1987). Hypertext: An introduction and survey. Computer, 20(9), 17-41. Inspiration Software. (1994). Inspiration for windows: User's manual [computer program manual]. Portland, OR: Author.
Jonassen, D.H. (1990, July). What are cognitive tools?. In P.A.M. Kommers, D.H. Jonassen, & J.T. Mayes (Eds.), Proceedings of the NATA advanced research workshop 'Cognitive tools for learning' (pp. 1-6). Enschede, the Netherlands: University of Twente.
Jonassen, D.H., & Grabowski, B. L. (1993). Handbook of individual differences: Learning & instruction. Hillsdale, NJ: Lawrence Earlbaum Associates. ISBN: 0-8058-1412-4/0-8058-1413-2.
Jonassen, D.H. (1996). Computers in the classroom: Mindtools for critical thinking. Eaglewoods, NJ: Merill/Prentice Hall.
Lanzing, J.W.A. (1996, July 4). Everything you always wanted to know about...concept mapping. Internet WWW page at URL at: http://utto1031.to.utwente.nl/artikel1/ (version current at October 1998).
Novak, J.D., Gowin, D.B., and Johansen, G.T. (1983). The use of concept mapping and knowledge vee mapping with junior high school science students. Science Education, 67, 625-645.
Novak, J. D. (1993). How do we learn our lesson?: Taking students through the process. The Science Teacher, 60(3), 50-55.
Ross, B., & Munby, H. (1991). Concept mapping and misconceptions: A study of high-school students' understanding of acids and bases. International Journal of Science Education, 13(1), 11-24. (EJ 442 063)
This ERIC Digest was prepared by Eric Plotnick, Assistant Director, ERIC Clearinghouse on Information & Technology, Syracuse University and is adapted from WWW documents prepared by Jan W.A. Lanzing (1969-1997), Department of Educational Instrumentation, Faculty of Educational Science and Technology, University of Twente, The Netherlands.
ERIC Clearinghouse on Information & Technology, 4-194 Center for Science and Technology, Syracuse University, Syracuse, NY 13244-4100; 1-800-464-9107; (315) 443-3640; Fax: (315) 443-5448; e-mail: eric@ericir.syr.edu; URL: http://ericir.syr.edu/ithome
This publication was prepared with funding from the Office of Educational Research and Improvement, U.S. Department of Education, under contract no. RR93002009. The opinions expressed in this report do not necessarily reflect the positions of OERI or ED.
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