SISTEMA EXPERTO PARA LA RECOMENDACIÓN DE MODELOS INSTRUCCIONALES: UNA PROPUESTA PARA SU DESARROLLO.
Keywords:
Expert system. Instructional models. Artificial intelligenceAbstract
Nowadays, one of the major teachers’ concerns is the decision making to execute the didactic process, beginning with planning the educative action. There have been many different proposals approaching that task, but this process has not been solved yet, since there are too many variables to be considered in it, for the appropriation of some of those methodological offers. So, it is a must to improve efficiency for the decision making of instructional models, supported by ICTs and the Artificial Intelligence which focus on the development of computerized programs. Technical systems have gained relevance to solve the decision making problems. Particularly, it has been designed a proposal, based on Knowledge Engineer, to be able to develop a technical system that offers professors teaching models as macro strategies, to plan and implement the didactic activity. Five stages were designed to obtain a model that allowed researchers to validate rules. Nevertheless, it is a very hard and subjective task to propose specific global teaching models to any subject content, since the decision making depends on multiple elements. However, the expert´s choices prevail to solve specific problems.
References
Buchanan, B. y Shortlifte, E. Rule-Based Expert Systems. Addison-Wesley, 1985
Castillo, E., Gutiérrez, M. y Hadi, A. Sistemas expertos y modelos de redes probabilísticas. Universidad de Cantabria. [En red]. Disponible en: http://personales.unican.es/gutierjm/papers/BookCGH.pdf (2008)
Eggen, P. y Kauchak, D. Estrategias docentes. Enseñanza de contenidos currriculares y desarrollo de habilidades del pensamiento, Fondo de cultura económica- México, 2da. Edición, 2001.
Forsythe, D. Engineering Knowledge: The Construction of Knowledge in Artificial Intelligence. Social Studies of Science. (1993)
García, Z. Hipermedia para la enseñanzade las estructuras básicas de control de laprogramación estructurada. V Congreso Iberoamericano de Informática Educativa. Chile. 2000.
Joyce, B. y Weil, M. Modelos de enseñanza, Gedisa - España, 2002.
León, M. García, Z. La Inteligencia Artificial en la Informática Educativa. de Informática Educativa y Medios Audiovisuales Vol. 5. [En red]. Disponible en: http://laboratorios.fi.uba.ar/lie/Revista/Articulos/050510/A2mar2008.pdf. 2008
Ministerio de Educación Unidad Coordinadora de Programas con Organismos Multilaterales. Currículo Básico Nacional Programa de Estudio de Educación Básica. Ministerio de Educación. 1998
Reigeluth, C. Instructional design theories and models: a new paradigm of instructional theory. Lawrence Erlbaum Associates Publishers. Washington. USA. 1999
Sánchez, E., y Lama, M. Monografía: Técnicas de la inteligencia artificial aplicadas a la educación. Revista Iberoamericana de Inteligencia Artificial. No.33. [En red]. Disponible en: http://cabrillo.lsi.uned.es:8080/aepia/Uploads/33/362.pdf . 2007
Sierra, E., Hossian, A., y García, R. Sistemas expertos que recomiendan estrategias de instrucción. Un modelo para su desarrollo. [En red]. Disponible en: http://laboratorios.fi.uba.ar/lsi/rgm/articulos/R-extremadura.pdf. 2008
Tansley, D. Knowledge-based systems analysis and design: a KADS developer’s Handbook. Englewood Cliffs, NJ, Prentice-Hall. (1993).
Torres, L. Presentación: Inteligencia artificial. Universidad Nacional de Colombia. [En red]. Disponible en: http://dis. unal.edu.co/profesores/lucas/iartificial/IAc005.pdf . (2008)
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