Cognitive Maps as Human-Computer Interface Design Tools for Learning

  • J. H. Sánchez
  • A. S. Mallegas


It has been amply emphasized the increasing use of cognitive science principles and concepts in the design of hypermedia educational software. Cognitive-oriented design tools may help to ameliorate human-computer interface constraints that impede appropriate learning when using hypermedia educational software. The literature suggests that in order to enhance meaningful learning, computer-based learning materials should be designed in such a way that learners can use knowledge to construct meaning autonomously avoiding common problems such as user desorientation, cognitive load, and cognitive overhead. This study examines the use of concept maps as powerful software design tools to help learners to navigate through knowledge and thus constructing meaning by making their learning more meaninfully. Concept mapping is used as a powerful software design technique to help learners to learn how to learn and think when using educational hypermedia systems. It also analyzes the methodology used to apply this metalearning technique in the construction of hypermedia systems to assist learners in the learning of science concepts and processes. The initial qualitative results indicate that concept mapping can be a useful metalearning technique to ameliorate cognitive load and improve the human-computer interaction in hypermedia systems to foster meaningful learning of science concepts and processes.


Cognitive Load Meaningful Learning Educational Software Construct Meaning Mental Model Construction 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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  1. Allesi, S. & Trollip, S. (1991). Computer-Based Instruction: Methods and Development. New Jersey: Prentice-Hall Inc.Google Scholar
  2. Ambrom, S. & Hooper, K. (1988). Interactive Multimedia: Visions of Multimedia for Developers. Educators. & Information Providers. Washington: Microsoft Press.Google Scholar
  3. Ambrom, S. & Hooper, K. (1990). Learning with Interactive Multimedia: Developing and Using Multimedia Tools in Education. Washington: Microsoft Press.Google Scholar
  4. Allen, R. (1980). Cognitive factors in human interaction with computers. In B. Shneiderman and A. Brade (Eds.), Directions in Human-Computer Interaction. Norwood, NJ: Ablex Publishing.Google Scholar
  5. Ausubel, D. (1963). The Psychology of Meaningful Verbal Learning. New York: Grune and Stratton.Google Scholar
  6. Beasley, R. & Brinegar, D. (1992). User Orientation in a Hypertext Glossary. Journal of Computer-Based Instruction. 19,4, 115–118.Google Scholar
  7. Blattner, M. & Dannenberg, R. (1992). Multimedia interface design. New York: ACM Press.zbMATHGoogle Scholar
  8. Bork, A., Ibrahim, B., Levrat, B., Milne, A., & Yoshii, R. (1991). The Irvine Geneva course development. Unpublished paper.Google Scholar
  9. Conklin, J. (1987). Hypertext: An introduction and survey. IEEE Computer, 20, 17–41.CrossRefGoogle Scholar
  10. Ferraris, M., Midoro, V. & Olimpo, G. (1984). Petri nets as a modelling tool in the development of CAL courseware. Computer and Education. 8, 41–49.CrossRefGoogle Scholar
  11. Fraud, E.; Midoro, V. & Pedemonte, G. (1990). Do hypermedia systems really enhance learning? A case study on earthquake education. ETTI 29,1, 42–51.Google Scholar
  12. Gray, S. (1990). Using protocol analyses and drawings to study mental model construction during hypertext navigation. International Journal of Human-Computer Interaction. 2(4) 359–377.CrossRefGoogle Scholar
  13. Harel, I. & Papert, S. (1991). Software design as a learning environment. Interactive Learning Environments. Vol 1(1).Google Scholar
  14. Hartson, H & Hix, D. (1989). Human-computer interface development: concepts and systems for its management. ACM Computing Surveys, 21, 1.Google Scholar
  15. Heinze-Fry, J. & Novak, J. (1990). Concept mapping brings long-term movement toward meaningful learning. Science Education, 74(4):461–472.CrossRefGoogle Scholar
  16. Jonassen, D. & Mandl, H. (Editors), (1990). Designing hypermedia for learning. Berlin: Springer-Verlag.zbMATHGoogle Scholar
  17. Jonassen, D. (1986). Hypertext principles for text & courseware design. Educational Psychologist, 21(4), 269–292.CrossRefGoogle Scholar
  18. Laurel, B. & Mountford, S. (1993). The Art of Human Computer Interface Design. New York: Addison-Wesley Publishing Company, Inc.Google Scholar
  19. Midoro, V., Olimpo, G., Persico, D. & Tavella, M. (1990). Multimedia flexible systems and Artificial Intelligence. Advanced Research on Computers in Education. ARCE. Tokyo, 155-160.Google Scholar
  20. Nielsen, J. (1990). The art of navigating through hypertext. Communications of the ACM, 33, 296–310.CrossRefGoogle Scholar
  21. Nix, D. & Spiro, R. (1990). Cognition. Education, and Multimedia: Exploring Ideas in High Technology. New Jersey: Lawrence Erlbaum Associates, Inc., Publishers.Google Scholar
  22. Novak, J. (1990). Concept mapping: A useful tool for science education. Journal of Research in Science Teaching. 27(10):937–949.CrossRefGoogle Scholar
  23. Novak, J. (1988). Learning science and the science of learning. Studies in Science Education, 15, pp. 77–101.CrossRefGoogle Scholar
  24. Novak, J.(1985). Metalearning and metaknowledge strategies to help students learn how to learn. In Cognitive Structure and Conceptual Change. New York: Academic Press, Inc.Google Scholar
  25. Novak, J. and Gowin, D. (1984). Learning How to Learn. New York: Cambridge University Press.CrossRefGoogle Scholar
  26. Sánchez, J. (1993). Metalearning and metaknowledge strategies to produce educational software. En Smith, M., y Salvendy, G. (Editores), Human-Computer Interaction: Applications and Case Studies. Advances in Human Factors/Ergonomics. 19A, p. 368–373. Amsterdam: Elsevier Science Publishers B.V.Google Scholar
  27. Sánchez, J. (1993). Concept mapping and educational software production. In Gallard, A. & Guerreiro de Albuquerque(Editors). Annals of Presented Papers. 66th Annual Meeting of the National Association for Research in Science Teaching. Atlanta, USA.Google Scholar
  28. Sánchez, J., Mallegas, A. y Astroza, C. (1992). The evaluation of Gameto: A computer software for hispanic students. In Estes, N. y Thomas, M.(Editors). The Ninth International Conference on Technology and Education. 1377-1380, Paris, France.Google Scholar
  29. Sánchez, J., Mallegas, A., Astroza, C., y Olivares, A. (1991). Designing, developing, and evaluating software to assist biology education. In McKye, G. y Trueman, D.(Editors) The Twelfth Educational Computing Organization of Ontario Conference and the Eighth International Conference on Technology and Education. 624-626, Ontario, Canadá.Google Scholar
  30. Sarti, L. (1991). Human/computer interfacing in educational environments. ETTI 29,1, 52–63.MathSciNetGoogle Scholar
  31. Tripp, S. & Roby, W. (1990). Orientation and disorientation in a hypertext lexicon. Journal of Computer-Based Instruction, 17, 120–124.Google Scholar

Copyright information

© Springer Science+Business Media New York 1994

Authors and Affiliations

  • J. H. Sánchez
    • 1
  • A. S. Mallegas
    • 1
  1. 1.Educational Computing CenterUniversity of AntofagastaAntofagastaChile

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