Abstract
The increasing demand for quality in educational software makes it necessary to use tools and methodologies that support both the design and the development process of this kind of software. In this paper we propose Formal Concept Analysis (FCA) as the basis for a practical and well founded methodological approach to the design of educational applications. FCA is a technique that can be applied to model the linguistic conceptualizations that experts make when describing their expertise domain. Thus, FCA can be used as a complementary tool to support design decisions about the structure and the interface of educational applications. We also present how we are using FCA in two different projects: a help system for the Unix operating system, and a multimedia tutorial for improving second language text comprehension. In the final discussion we raise some questions about FCA applicability and introduce some future lines of work. © IFIP, published by Kluwer Academic Publishers
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Ausubel, D. P. (1963) The Psycology of Meaningful Verbal Learning. New York: Grune and Stratton.
Buenaga, M., Fernandez-Manjon, B. and Fernandez-Valmayor, A. (1995) Information overload at the information age. B. Collis and G. Davies (eds) Adults in Innovative Learning Situations. pp. 17–30. Amsterdam: Elsevier Science B.V.
Burmeister, P. (1996) Formal Concept Analysis with ConImp: Introduction to the Basic Features. Technical Report, Arbeitsgruppe Allgemeine Algebra und Diskrete Mathematik, Technische Hochschule Darmstadt, Darmstatdt, Germany. [WWW document, URL: http:// fb0429.mathematik.th-darmstadt.de/~burmeister/ConImpIntro.dvi].
Carpineto, C. and Romano, G. (1995) Automatic Construction of Navigable Concept Networks Characterizing Text Databases. In M. Gori and G. Soda (eds) Topics in Artificial Intelligence, Lectures Notes in Artificial Intelligence 992, pp. 67–78, Berlin: Springer-Verlag.
Chi, M., Feltovich, P. J. and Glaser, R. (1981) Categorization and Representation of Physics Problems by Experts and Novices Cognitive Science, 5, 121–52.
Davey, B. and Priestley, H. (1990) Introduction to Lattices and Order. Cambridge, UK: Cambridge University Press
Fernandez-Manjon, B. (1996) Desarrollo de sistemas de ayuda inteligente mediante integración de tecnologías y reutilización de información. Ph.D. thesis, Universidad Complutense de Madrid.
Fernandez-Manjon, B. and Fernandez-Valmayor, A. (1997) Improving World Wide Web Educational Uses Promoting Hypertext and Standard General Markup Language Content-based Features. Education and Information Technologies, 2(3), 193–206.
Fernandez-Manjon, B., Fernandez-Valmayor, A. and Fernandez Chamizo, C. (1998) Pragmatic 200 Fernandez-Manjon and Fernandez-Valmayor User Model Implementation in an Intelligent Help System. British Journal of Educational Technology, 29(2), 113–23.
Ganter, B. and Wille, R. (1998) Applied Lattice Theory: Formal Concept Analysis. Institut für Algebra, TU Dresden, Germany, [WWW document, URL: http://www.math.tu-dresden. de:80/,ganter/concept.ps].
Godin, R., Mineau, G. W., Missaoui, R. and Mili, H. (1995) Méthodes de Classification Conceptuelle Basées sur les Treillis de Galois et Applications. Revue d'Intelligence Artificielle, 9(2), 105–37.
Lindig, C. (1995) Concept-Based Component Retrieval. In Working Notes of the IJCAI-95 Workshop: Formal Approaches to the Reuse of Plans, Proofs, and Programs, Montreal. [WWW document, URL: http://www.cs.tu-bs.de/softech/papers/ijcai-lindig.html].
Salton, G. (1989) Automatic Text Processing: the transformation, analysis and retrieval of information by computer, Reading, MA: Addison Wesley.
Shneiderman, B. (1992) Designing the User Interface, Reading, MA: Addison Wesley.
Vogt, F. and Wille, R. (1995) TOSCANA - A Graphical Tool For Analyzing And Exploring Data. In: R. Tamassia and I. G. Tollis (eds) Graph Drawing. pp. 226–33. Heidelberg: Springer-Verlag.
Wille, R. (1982) Restructuring lattice theory: an approach based on hierarchies of concepts. In I. Rival (ed) Ordered Sets. pp 445–70. Dordrecht, Boston: Reidel.
Wille, R. (1992) Concept Lattices and Conceptual Knowledge Systems Computers and Mathematics with Applications, 23(6- 9), 493–515.
Wolff, K. E. (1994) A First Course in Formal Concept Analysis - How to Understand Line Diagrams. In F. Faulbaum (ed) SoftStat '93, Advances in Statistical Software 4. pp. 429–38, Frankfurt: Gustav Fischer Verlag.
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Fernandez-Manjon, B., Fernandez-Valmayor, A. Building Educational Tools Based on Formal Concept Analysis. Education and Information Technologies 3, 187–201 (1998). https://doi.org/10.1023/A:1009641330050
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DOI: https://doi.org/10.1023/A:1009641330050