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Ibero-American Conference on Artificial Intelligence

IBERAMIA 2004: Advances in Artificial Intelligence – IBERAMIA 2004 pp 922–931Cite as

Evaluation of the Teaching-Learning Process with Fuzzy Cognitive Maps

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3315))

Abstract

The evaluation of the teaching-learning process is a conduct that poses great challenges from a modeling perspective. Tutor modules form part of intelligent systems that are applied to education, and should assess: when to interrupt, how to teach a given topic, and what to teach in a given moment. By considering the different types of errors, a good evaluation of the teaching-learning process allows the systems to adapt in an optimum form to different users. This paper proposes a design technique to model the conduct of an expert that evaluates the results of the teaching-learning process within a reactive learning environment. To achieve this, a fuzzy cognitive map, which is a representation recently proposed to model the conduct and operation of complex systems, is used. Bart Kosko introduced this type of maps in 1986 with the aim of describing the behavior of a system in terms of concepts and causal relations between concepts. Since then, their use has been extended to diverse real-world situations that span from the analysis of investment in stock to supervisory system control. Missing conceptions, which provide a basis to assemble the didactic tactics, are imputed to this representation. Starting from the mental model of the expert in the learning domain, a conceptual genetic graph is established to orientate the fuzzy cognitive map. Finally, this paper presents a concrete example.

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References

  1. Aguilar, J.: A Dynamic Fuzzy-Cognitive-Map Approach Based on Random Neural Networks. International Journal of Computational Cognition 1(4), 91–107 (2003), http://YangSky.com/yangijcc.htm

    Google Scholar 

  2. de Arriaga, F., El Alami, M., Ugena, A.: Acceleration of the Transfer of Novices into Experts: the Problem of Decision Making. In: Proceedings International Conference BITE 2000, pp. 245–258. University of Eindhoven (2001)

    Google Scholar 

  3. Bretch, B., Jones, M.: Student Models: The Genetic Graph Approach. Man Machine Studies 28, 483–504 (1988)

    Article  Google Scholar 

  4. Brown, J.S., Burton, R.R., Bell, A.G.: SOPHIE, a Step Towards a Reactive Learning Environment. Int. J. Man Machine Studies 7, 675–696

    Google Scholar 

  5. Carlsson, C., Fullér, R.: Adaptive Fuzzy Cognitive Maps for Hyperknowledge Representation in Strategy Formation Process. In: Proceedings of International Panel Conference on Soft and Intelligent Computing, pp. 43–50. Technical University of Budapest (1996), http://www.aboifil/fuller/ asic96.pdf

    Google Scholar 

  6. Elio, R., Scharf, P.: Modeling Novice-to-Expert Shifts in Problem-Solving Strategy and Knowledge Organization. Cognitive Science 14, 579–639 (1990)

    Article  Google Scholar 

  7. Estévez-Nénninger, E.H.: Enseñar a Aprender: estrategias cognitivas. Colección Maestros y Enseñanza (Ed.) Piados. México-Buenos Aires-Barcelona (2002)

    Google Scholar 

  8. Fernández, I.: Estrategias de Enseñanza en un Sistema Inteligente de Enseñanza Asistida por Ordenador. Tesis Doctoral (Tercer Ciclo) de la Universidad del País Vasco, San Sebastián (1989)

    Google Scholar 

  9. Forbus, K.D.: Qualitative Process Theory. Journal Artificial Intelligence 24, 85–168 (1984)

    Article  Google Scholar 

  10. Gagné, E.: The Cognitive Psychology of school Learning. Little Brown & Company, Boston (1985)

    Google Scholar 

  11. García, H., Reyes, C., Morales, R.D.: implementación de Mapas cognitivos difusos para tutoriales inteligentes. In: Memorias del XV Congreso Nacional y I Congreso Internacional de Informática y Computación de la ANIEI, octubre, 2002, vol. I, pp. 51–59 (2002)

    Google Scholar 

  12. Ginsburg, H., Opper, S.: Piaget y la Teoría del Desarrollo Intelectual. Prentice-Hall, Englewood Cliffs (1986)

    Google Scholar 

  13. Goldstein, I.: The Computer as a Coach: An Athletic Paradigm for Intellectual Education, December 1976, vol. Memo no. 389. MIT Artificial Intelligence Laboratory, Cambridge (1976)

    Google Scholar 

  14. Goldstein, I.: The Genetic Graph: A Representation for the Evolution of Procedural Knowledge. Man Machine Studies 11, 51–77 (1977)

    Article  Google Scholar 

  15. Johnson-Laird, P.N.: Mental Models. Cambridge University Press, Harvard University Press, New York,Cambridge (1983)

    Google Scholar 

  16. Kosko, B.: Fuzzy Cognitive Maps. International Journal of Man-Machine Studies 24, 65–75 (1986)

    Article  MATH  Google Scholar 

  17. Kosko, B.: Neural Networks and Fuzzy Systems. In: A Dynamical Systems Approach to Machine Intelligence. Prentice-Hall, New Jersey (1992)

    Google Scholar 

  18. Laureano, A., de Arriaga, F.: El Análisis Cognitivo de Tareas: Una herramienta para modelar la conducta de los Sistemas de Enseñanza Inteligentes. Revista Latina de Pensamiento y Lenguaje, Número Monográfico, 2B 4, 315–335 (1988)

    Google Scholar 

  19. Laureano Cruces, A.L., Terán Gilmore, A., de Arriaga, F.: Learning Model Based on a Didactic Cognitive Approach: The Case Of Single-Degree-Of-Freedom Systems. In: Computer Applications in Engineering Education (2004) (to appear)

    Google Scholar 

  20. Laureano Cruces, A.L., Terán Gilmore, A., de Arriaga, F., El Alami, M.: La Importancia de Las Estrategias Cognitivas en el Diseño del Curricula Didáctico. In: Memorias del XVI Congreso Nacional y II Congreso Internacional de Informática y Computación de la ANIEI, Zacatecas, 22-24 de octubre del 2003, vol. I, pp. 35–41 (2003)

    Google Scholar 

  21. Laureano Cruces, A.L., Terán Gilmore, A., de Arriaga, F.: Un Enfoque Didáctico- Cognitivo del Análisis de los Conceptos de los Sistemas de un Grado de Libertad, Revista Digital Universitaria. Vol.4(7) (2003), http://www.revista.unam.mx/

  22. Laureano-Cruces, A.L., Ramírez-Rodríguez, J., de Arriaga-Gómez, F.: Los Agentes Reactivos y la lógica Borrosa: Herramientas para Modelar el Entorno de los Sistemas de Enseñanza Inteligentes. Memorias del CISCI 2002. Conferencia Iberoamericana en SISTEMAS, CIBERNÉTICA E INFORMÁTICA. Vol. I, Orlando, International Institute of Informatics and Systems, Florida, EE.UU, 356-361 (July 2002)

    Google Scholar 

  23. Laureano, A.L., de Arriaga, F., García-Alegre, M.: Cognitive task analisys: a proposal to model reactive behaviours. Journal of Experimental & Theoretical Artificial Intelliegence 13, 227–239 (2001)

    Article  MATH  Google Scholar 

  24. Miao, Y., Liu, Z.Q.: On Causal Inference in Fuzzy Cognitive Maps. IEEE Transactions on Fuzzy Systems 8(1), 107–119 (2000)

    Article  Google Scholar 

  25. Mohr, S.T.: The Use and Interpretation of Fuzzy Cognitive Maps, Master’s Project, Rensselaer Polytechnic Institute, http://www.voicenet.com/~mohr/fcm_white.html

  26. Schneider, M., Schnaider, E., Kandel, A., Chew, G.: Automatic construction of FCMs. Fuzzy Sets and Systems 93, 161–172 (1998)

    Article  Google Scholar 

  27. Siraj, A., Bridges, S.M., Vaughn, R.B.: Fuzzy Cognitive Maps for Decision Support in an Intelligent Intrusion Detection System, http://www.cs.msstate.edu/~bridges/papers/nafips2001.pdf

  28. Stylios, C.D., Groumpos., P.P.: Fuzzy Cognitve Maps: a model for intelligent supervisory control systems. Computers in Industry 39, 229–238 (1999)

    Article  Google Scholar 

  29. Stylios, C.D., Groumpos., P.P.: Fuzzy Cognitve Maps: a soft computing technique for intelligent control. In: Proceedings of the 15th IEEE International Symposium on Intelligent Control (ISIC 2000), pp. 97–102 (2000)

    Google Scholar 

  30. Stylios, C.D., Groumpos., P.P.: Modeling Complex Systems Using Fuzzy Cognitive Maps. IEEE Transactions on Systems, Man and Cybernetics. Part A: Systems and Humans 34(1), 155–162 (2004)

    Article  Google Scholar 

  31. Stylios, C.D., Groumpos., P.P.: The Challenge of modeling Supervisory Systems Using Fuzzy Cognitive Maps. Journal of Intelligent Manufacturing 9, 339–345 (1998)

    Article  Google Scholar 

  32. Terán-Gilmore, A.: Diseño por Desempeño: Antecedentes, Conceptos Generales y Perspectivas. In: Proceedings del VII Simposio Nacional de Ingeniería Sísmica (CD), Cuernavaca, México,(29 - 30 November, 2002)

    Google Scholar 

  33. Wild, M.: Mental models and computer modelling. Journal of Computer Assisted Learning 12, 10–21 (1996)

    Article  Google Scholar 

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Author information

Authors and Affiliations

  1. Departamento de Sistemas, Universidad Autónoma Metropolitana – Azcapotzalco,  

    Ana Lilia Laureano-Cruces & Javier Ramírez-Rodríguez

  2. Departamento de Materiales, Universidad Autónoma Metropolitana – Azcapotzalco, Av. San Pablo 180, Col. Reynosa Tamps

    Amador Terán-Gilmore

Authors
  1. Ana Lilia Laureano-Cruces
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  2. Javier Ramírez-Rodríguez
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  3. Amador Terán-Gilmore
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Editor information

Editors and Affiliations

  1. Laboratorio Nacional de Informatica Avanzada, A.C. Lania, Rebsamen 80, Col. Centro, 91000, Xalapa, Veracruz, Mexico

    Christian Lemaître

  2. Department of Computer Science, National Institute of Astrophysics, Optics and Electronics (INAOE), Luis E. Erro 1, 72840, Sta. Maria Tonantzintla, Puebla, Mexico

    Carlos A. Reyes

  3. Computer Science Department, National Institute of Astrophysics, Optics and Electronics, Luis Enrique Erro 1, 72840, Tonantzintla, México

    Jesús A. González

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© 2004 Springer-Verlag Berlin Heidelberg

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Laureano-Cruces, A.L., Ramírez-Rodríguez, J., Terán-Gilmore, A. (2004). Evaluation of the Teaching-Learning Process with Fuzzy Cognitive Maps. In: Lemaître, C., Reyes, C.A., González, J.A. (eds) Advances in Artificial Intelligence – IBERAMIA 2004. IBERAMIA 2004. Lecture Notes in Computer Science(), vol 3315. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30498-2_92

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  • DOI: https://doi.org/10.1007/978-3-540-30498-2_92

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-23806-5

  • Online ISBN: 978-3-540-30498-2

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