Modelado del estudiante en sistemas tutores inteligentes
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https://doi.org/10.24215/18509959.0.p.%2029-38Palabras clave:
estilos de aprendizaje, modelo del estudiante, sistemas tutores inteligentesResumen
En la producción de los STI convergen las distintas epistemológicas que quedan evidenciadas en la práctica docente. Se busca una nueva opción de diseño de STI que sea más versátil centrada en la forma en que los estudiantes mantienen, organizan y adquieren los nuevos conocimientos. Las diferentes formas de pensar de los estudiantes, constituyen los estilos de aprendizaje, a través de los cuales se puede establecer el modo en que estos conocimientos se almacenan, se relacionan y se utilizan con los adquiridos anteriormente. Es necesario caracterizar a los estudiantes además considerando el tipo de inteligencia preponderante en cada uno, ya que permitirá soluciones más individualizadas. Esto conlleva a rediseñar los componentes de cada módulo del sistema tutor.
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[1] Urretavizcaya, M. (2001). Sistemas inteligentes en el ámbito de la educación. Revista Iberoamericana de Inteligencia Artificial. Nº 12, pp. 5-12. ISSN 1137-3601
[2] Sancho, L. (2002). Sistemas Tutores Inteligentes: Una alternativa para el uso de computadoras en educación. Education Net. Red Global de Educación a distancia. (DistEdNet) Universidad Estatal a Distancia. www.uned.ac.cr/servicios/global/ensenanza/instruccion/articulos/sistemas.html. Consultado el 10/01/09.
[3] VanLehn, K (1988). Student Modelling. M. Polson. Foundations of Intelligent Tutoring systems. Hillsdale. N.J. Lawrence Erlbaum Associates, 55-78.
[4] Wolf, B. (1984). Context Dependent Planning in a Machine Tutor. Ph.D. Dissertation, University of Massachusetts, Amherst, Massachusetts.
[5] Giraffa, L.; Nunes, M. A.; Viccari, R.M. (1997) MultiEcological: A Learning Environment using Multi-Agent architecture. MASTA'97: Multi-Agent System: Theory and Applications. Proceedings.. Coimbra: DE-Univ. de Coimbra.
[6] Carbonell, J. R. (1970). AI in CAI: An artificial intelligence approach to computer assisted instruction. IEEE transaction on Man Machine System. Volumen 11 número 4, p. 190-202.
[7] Stevens, A.; Collins, A. (1977). The goal structure of a Socratic tutor. Proc.s of the National ACM Conference. New York.
[8] Burton, R. R.; Brown, J. S. (1981). An investigation of computer coaching for informal learning activities. In: Sleeman, D., Brown, J. (eds.): Intelligent Tutoring Systems, Capítulo 4, p. 79-98, London: Academic Press.
[9] Clancey, W. J. (1991). Intelligent tutoring systems: A tutorial survey, en App. Artificial Intelligence: A Sourcebook. McGraw-Hill.
[10] Brown, E.; Palincsar, B. (1989) Guided, Cooperative learning and the individual knowledge acquisition. En Resnick B. (comp.) Knowing, learning, and instruction. Hillsdale. N.J.
[11] Brown, J. y Burton, R. (1978) Diagnostic Models for Procedural Bugs in Mathematical Skills, Cognitive Science, No. 2, 155-192.
[12] Johnson, W. L. (1986). Intention-based diagnosis of novice programming errors. Morgan-Kauffman.
[13] Gertner, A. S; Conati; C.; VanLehn, K. (1998). Learning Procedural help in Andes: Generating hints using a Bayesian network student model. Research & Development. American Association for Artificial Intelligence.
[14] Gertner, A.S. y VanLehn, K. (2000). Andes: A Coached Problem Solving Environment for Physics. Lecture Notes In Computer Science; Vol. 1839 Proc. of the 5th International Conference on Intelligent Tutoring Systems. Pages: 133 - 142
[15] Galvin, T. (1994) Tesis Doctoral: "Mebuilder: An ObjectOriented Lesson Authoring System for Procedural Skills (9/94)
[16] Rowe N. C. and T. Galvin, (1998) An authoring system for intelligent tutors for procedural skills. IEEE Intelligent Systems, 13, 3 May/June, 61-69.
[17] Litman D. J. and Silliman. S. 2004. Itspoke: An Intelligent Tutoring Spoken Dialogue System. In Proc. of the Human Language Tech. Conf.: 4th Meeting of HLT/NAACL. Boston.
[18] Kim, J. H. (1989). CIRCSIM-Tutor: An Intelligent Tutoring System for Circulatory Physiology. Ph.D. Th., Illinois Inst. of Tech.
[19] Kim, J. H. (2000) Natural Language Analysis and Generation for Tutorial Dialogue. Ph.D. Tesis, Illinois Inst. of Technology.
[20] Cho, B. (2000). Dynamic Planning Models to Support Curriculum Planning and Multiple Tutoring Protocols in Intelligent Tutoring Systems. Ph.D. Tesis, Illinois Inst. of Tech.
[21] Hume G., Michael, J; Rovick, A.; Evens, M. (1996), Hinting as a tactic in one-on-one tutoring. Journal of Learning Sciencies
[22] Hume, G.; Evens, M. (1992) Student modeling and the classification of errors cardiovascular intelligent tutoring system. Proc. of the 4th Midwest Artificial Intelligence and Cognitive Science Society Conference, Utica, IL.
[23] Shah, F. (1997). Recognizing and Responding to Student Plans in an Intelligent Tutoring System: Circsim-Tutor Ph.D. Th., Illinois Inst. of Tech.
[24] Matsuda, N., & VanLehn, K. (2005, to appear). Advanced Geometry Tutor: An intelligent tutor that teaches proof-writing with construction. Proc. 12th Int. Conf. on AI Education.
[25] DiPaolo, R.E., Graesser, A.C., Hacker, D.J., White, H.A., y TRG (Tutoring Research Group) (2002). Hints in human and computer tutoring. In M. Rabinowitz (Ed.), The impact of media on technology of instruction. Mahwah, NJ: Erlbaum.
[26] Graesser, A., Olney, A., Haynes, B. y Chipman, P. (2005b). AutoTutor: A cognitive system simulates a tutor that facilitates learning through mixed-initiative dialogue. Cognitive systems: Human cognitive models in systems design. Erlbaum.
[27] Graesser, A.C., Chipman, P., Haynes, B.C. y Olney, A. (2005a). AutoTutor: An intelligent tutoring system with mixed-initiative dialogue. IEEE Trans. in Education, 48, 612-618.
[28] Graesser, A.C., Jackson, G.T. y McDaniel, B. (in press2006). AutoTutor holds conversations with learners that are responsive to their cognitive and emotional states. Ed. Technology.
[29] Chipman, P., Olney, A., y Graesser, A. C. (2005). The AutoTutor 3 architecture: A software architecture for an expandable, high-availability ITS. Proceedings of WEBIST 2005: pp. 466-473. Portugal: Insticc Press.
[30] Mitrovic, A. (2003) An intelligent SQl tutor on the Web Int. J. Artificial Intelligence in Education, v. 13, no. 2-4, 173-197.
[31] Mitrovic, A., Martin, B. y Mayo, M. (2002) Using evaluation to shape ITS design: Results and Experiences with SQLTutor. Int. J. User Mod. and User-Adapted Int., v. 12, no. 2-3, p. 243-279.
[32] Mitrovic, A., Suraweera, P., Martin, B., Zakharov, K., Milik, N., Holland, J. (2006) Authoring constraint-based tutors in ASPIRE. M. Ikeda, K. Ashley, and T.-W. Chan (Eds.): ITS 2006, LNCS 4053, pp. 41-50.
[33] Milik, N., Marshall, M., Mitrovic, A. (2006) Teaching Logical Database Design in ERM-Tutor. M. Ikeda, K. Ashley, and T.-W. ITS 2006, LNCS 4053, pp. 707-709.
[34] Waern, A. (2001) What is an intelligent interface?. Notas de Seminario de introductorio. Centro de Investigaciones en Computación de Suecia. Consultado el 13/12/08, disponible en http://www.sics.se/annika/publications.html.
[35] Millán, E. (2000) Sistema bayesiano para modelado del alumno. Tesis Doctoral Universidad de Málaga.
[36] Shim, L. (1991) Student Modeling for an ITS: Based on the Analysis of Human Tutoring Sessions. Ph.D., Illinois Inst. of Tech.
[37] Perkins, D. (1995). La escuela inteligente. Gedisa.
[38] Kohonen, T. (2001). Self-Organizing Maps, third edition. Springer Series in Informarion Sciences. Ed. Springer. Helsinki Univ. of Tech. Neural Networks. Finlandia. Pitman, London.
[39] Haykin, S. (1999). Neural Networks: A comprehensive foundation. Prentice Hall 2nd. edition.
[40] Nilsson, N. (2001) Inteligencia Artificial. Una nueva síntesis. Mc Graw-Hill Interamericana de España.
[41] Davis, L. (1991). Handbook of Genetic Algorithms. New York. Van Nostrand Reihold.
[42] Falkenauer, E. (1999). Evolutionary Algorithms: Applying Genetic Algorithms to Real-World Problems. Springer, New York, Pag 65-88.
[43] Salgueiro, F. A, Costa, G., Cataldi, Z., García Martinez, R. y Lage, F. J. (2005a). Sistemas inteligentes para el modelado del tutor. GCETE’2005. marzo 13-15.
[44] Salgueiro, F; Costa, G., Cataldi, Z., Lage, F., GarcíaMartínez, R. (2005b). Redefinition of basic modules of an intelligent tutoring system: the tutor module. WICC 2005. 13 y 14 de mayo. Universidad Nacional de Río Cuarto. Córdoba. NCI.
[45] Cataldi, Z. y Lage, F. (2007). El problema del modelado del estudiante en Sistemas Tutores Inteligentes. TE&ET'07. 12-15 de junio. Facultad de Informática, U. N. de La Plata.
[46] Cataldi, Z.; Salgueiro, F.; Lage, F. J. y García-Martínez, R. (2005). Sistemas tutores inteligentes: los estilos del estudiante para selección del tutorizado. Proc. WICC 2005. 13 y 14 de mayo. Universidad Nacional de Río Cuarto. Córdoba.
[47] Cataldi, Z; Salgueiro, F. y Lage, F. 2007. Fundamentos para el Submódulo Evaluador en Sistemas Tutores Inteligentes: Diagnóstico, predicción y autoevaluación. CACIC 2007. 1-5 de octubre.
[48] Shute, V. J. (1995). SMART: Student Modeling Approach for Responsive Tutoring. User Modeling and User-Adapted Interactions, 5, 1--44.
[49] Zaitseva, L. y Boule, C. (2003) Students models in Computer based education. Advanced Learning Technologies, Proceedings. The 3rd IEEE International Conference on Volume , Issue , 9-11 July 2003 Pages: 451–456.
[50] Felder R.M.; Silverman L.K. (1988). Learning Styles and Teaching Styles in Engineering Education. Engr. Ed., v. 78, 7, p. 674-681.
[51] Gardner, H (1993). Inteligencias Múltiples: La teoría en la práctica. Paidós. Barcelona, Buenos Aires, México.
[52] Gardner, H (2001) La inteligencia reformulada: las inteligencias múltiples en el siglo XXI. Barcelona. Paidós.
[53] Felder, R. M.; Baker Ward, L. (1990). How engineering students learn, how engineering professor teach, and what goes wrong in the process. Proc. FIE´90: Frontiers in Ed., p. 82-84.
[54] Bloom, B. (1984). The 2 sigma problem: The search for methods of group instruction as effective as one-to-one tutoring. Educational Researcher, 13, 4-15.
[55] Contreras, D. J. (1991) La didáctica y los procesos de enseñanza aprendizaje, en Enseñanza, Currículum y Profesorado. Introducción a la didáctica, Akal, Madrid.
[2] Sancho, L. (2002). Sistemas Tutores Inteligentes: Una alternativa para el uso de computadoras en educación. Education Net. Red Global de Educación a distancia. (DistEdNet) Universidad Estatal a Distancia. www.uned.ac.cr/servicios/global/ensenanza/instruccion/articulos/sistemas.html. Consultado el 10/01/09.
[3] VanLehn, K (1988). Student Modelling. M. Polson. Foundations of Intelligent Tutoring systems. Hillsdale. N.J. Lawrence Erlbaum Associates, 55-78.
[4] Wolf, B. (1984). Context Dependent Planning in a Machine Tutor. Ph.D. Dissertation, University of Massachusetts, Amherst, Massachusetts.
[5] Giraffa, L.; Nunes, M. A.; Viccari, R.M. (1997) MultiEcological: A Learning Environment using Multi-Agent architecture. MASTA'97: Multi-Agent System: Theory and Applications. Proceedings.. Coimbra: DE-Univ. de Coimbra.
[6] Carbonell, J. R. (1970). AI in CAI: An artificial intelligence approach to computer assisted instruction. IEEE transaction on Man Machine System. Volumen 11 número 4, p. 190-202.
[7] Stevens, A.; Collins, A. (1977). The goal structure of a Socratic tutor. Proc.s of the National ACM Conference. New York.
[8] Burton, R. R.; Brown, J. S. (1981). An investigation of computer coaching for informal learning activities. In: Sleeman, D., Brown, J. (eds.): Intelligent Tutoring Systems, Capítulo 4, p. 79-98, London: Academic Press.
[9] Clancey, W. J. (1991). Intelligent tutoring systems: A tutorial survey, en App. Artificial Intelligence: A Sourcebook. McGraw-Hill.
[10] Brown, E.; Palincsar, B. (1989) Guided, Cooperative learning and the individual knowledge acquisition. En Resnick B. (comp.) Knowing, learning, and instruction. Hillsdale. N.J.
[11] Brown, J. y Burton, R. (1978) Diagnostic Models for Procedural Bugs in Mathematical Skills, Cognitive Science, No. 2, 155-192.
[12] Johnson, W. L. (1986). Intention-based diagnosis of novice programming errors. Morgan-Kauffman.
[13] Gertner, A. S; Conati; C.; VanLehn, K. (1998). Learning Procedural help in Andes: Generating hints using a Bayesian network student model. Research & Development. American Association for Artificial Intelligence.
[14] Gertner, A.S. y VanLehn, K. (2000). Andes: A Coached Problem Solving Environment for Physics. Lecture Notes In Computer Science; Vol. 1839 Proc. of the 5th International Conference on Intelligent Tutoring Systems. Pages: 133 - 142
[15] Galvin, T. (1994) Tesis Doctoral: "Mebuilder: An ObjectOriented Lesson Authoring System for Procedural Skills (9/94)
[16] Rowe N. C. and T. Galvin, (1998) An authoring system for intelligent tutors for procedural skills. IEEE Intelligent Systems, 13, 3 May/June, 61-69.
[17] Litman D. J. and Silliman. S. 2004. Itspoke: An Intelligent Tutoring Spoken Dialogue System. In Proc. of the Human Language Tech. Conf.: 4th Meeting of HLT/NAACL. Boston.
[18] Kim, J. H. (1989). CIRCSIM-Tutor: An Intelligent Tutoring System for Circulatory Physiology. Ph.D. Th., Illinois Inst. of Tech.
[19] Kim, J. H. (2000) Natural Language Analysis and Generation for Tutorial Dialogue. Ph.D. Tesis, Illinois Inst. of Technology.
[20] Cho, B. (2000). Dynamic Planning Models to Support Curriculum Planning and Multiple Tutoring Protocols in Intelligent Tutoring Systems. Ph.D. Tesis, Illinois Inst. of Tech.
[21] Hume G., Michael, J; Rovick, A.; Evens, M. (1996), Hinting as a tactic in one-on-one tutoring. Journal of Learning Sciencies
[22] Hume, G.; Evens, M. (1992) Student modeling and the classification of errors cardiovascular intelligent tutoring system. Proc. of the 4th Midwest Artificial Intelligence and Cognitive Science Society Conference, Utica, IL.
[23] Shah, F. (1997). Recognizing and Responding to Student Plans in an Intelligent Tutoring System: Circsim-Tutor Ph.D. Th., Illinois Inst. of Tech.
[24] Matsuda, N., & VanLehn, K. (2005, to appear). Advanced Geometry Tutor: An intelligent tutor that teaches proof-writing with construction. Proc. 12th Int. Conf. on AI Education.
[25] DiPaolo, R.E., Graesser, A.C., Hacker, D.J., White, H.A., y TRG (Tutoring Research Group) (2002). Hints in human and computer tutoring. In M. Rabinowitz (Ed.), The impact of media on technology of instruction. Mahwah, NJ: Erlbaum.
[26] Graesser, A., Olney, A., Haynes, B. y Chipman, P. (2005b). AutoTutor: A cognitive system simulates a tutor that facilitates learning through mixed-initiative dialogue. Cognitive systems: Human cognitive models in systems design. Erlbaum.
[27] Graesser, A.C., Chipman, P., Haynes, B.C. y Olney, A. (2005a). AutoTutor: An intelligent tutoring system with mixed-initiative dialogue. IEEE Trans. in Education, 48, 612-618.
[28] Graesser, A.C., Jackson, G.T. y McDaniel, B. (in press2006). AutoTutor holds conversations with learners that are responsive to their cognitive and emotional states. Ed. Technology.
[29] Chipman, P., Olney, A., y Graesser, A. C. (2005). The AutoTutor 3 architecture: A software architecture for an expandable, high-availability ITS. Proceedings of WEBIST 2005: pp. 466-473. Portugal: Insticc Press.
[30] Mitrovic, A. (2003) An intelligent SQl tutor on the Web Int. J. Artificial Intelligence in Education, v. 13, no. 2-4, 173-197.
[31] Mitrovic, A., Martin, B. y Mayo, M. (2002) Using evaluation to shape ITS design: Results and Experiences with SQLTutor. Int. J. User Mod. and User-Adapted Int., v. 12, no. 2-3, p. 243-279.
[32] Mitrovic, A., Suraweera, P., Martin, B., Zakharov, K., Milik, N., Holland, J. (2006) Authoring constraint-based tutors in ASPIRE. M. Ikeda, K. Ashley, and T.-W. Chan (Eds.): ITS 2006, LNCS 4053, pp. 41-50.
[33] Milik, N., Marshall, M., Mitrovic, A. (2006) Teaching Logical Database Design in ERM-Tutor. M. Ikeda, K. Ashley, and T.-W. ITS 2006, LNCS 4053, pp. 707-709.
[34] Waern, A. (2001) What is an intelligent interface?. Notas de Seminario de introductorio. Centro de Investigaciones en Computación de Suecia. Consultado el 13/12/08, disponible en http://www.sics.se/annika/publications.html.
[35] Millán, E. (2000) Sistema bayesiano para modelado del alumno. Tesis Doctoral Universidad de Málaga.
[36] Shim, L. (1991) Student Modeling for an ITS: Based on the Analysis of Human Tutoring Sessions. Ph.D., Illinois Inst. of Tech.
[37] Perkins, D. (1995). La escuela inteligente. Gedisa.
[38] Kohonen, T. (2001). Self-Organizing Maps, third edition. Springer Series in Informarion Sciences. Ed. Springer. Helsinki Univ. of Tech. Neural Networks. Finlandia. Pitman, London.
[39] Haykin, S. (1999). Neural Networks: A comprehensive foundation. Prentice Hall 2nd. edition.
[40] Nilsson, N. (2001) Inteligencia Artificial. Una nueva síntesis. Mc Graw-Hill Interamericana de España.
[41] Davis, L. (1991). Handbook of Genetic Algorithms. New York. Van Nostrand Reihold.
[42] Falkenauer, E. (1999). Evolutionary Algorithms: Applying Genetic Algorithms to Real-World Problems. Springer, New York, Pag 65-88.
[43] Salgueiro, F. A, Costa, G., Cataldi, Z., García Martinez, R. y Lage, F. J. (2005a). Sistemas inteligentes para el modelado del tutor. GCETE’2005. marzo 13-15.
[44] Salgueiro, F; Costa, G., Cataldi, Z., Lage, F., GarcíaMartínez, R. (2005b). Redefinition of basic modules of an intelligent tutoring system: the tutor module. WICC 2005. 13 y 14 de mayo. Universidad Nacional de Río Cuarto. Córdoba. NCI.
[45] Cataldi, Z. y Lage, F. (2007). El problema del modelado del estudiante en Sistemas Tutores Inteligentes. TE&ET'07. 12-15 de junio. Facultad de Informática, U. N. de La Plata.
[46] Cataldi, Z.; Salgueiro, F.; Lage, F. J. y García-Martínez, R. (2005). Sistemas tutores inteligentes: los estilos del estudiante para selección del tutorizado. Proc. WICC 2005. 13 y 14 de mayo. Universidad Nacional de Río Cuarto. Córdoba.
[47] Cataldi, Z; Salgueiro, F. y Lage, F. 2007. Fundamentos para el Submódulo Evaluador en Sistemas Tutores Inteligentes: Diagnóstico, predicción y autoevaluación. CACIC 2007. 1-5 de octubre.
[48] Shute, V. J. (1995). SMART: Student Modeling Approach for Responsive Tutoring. User Modeling and User-Adapted Interactions, 5, 1--44.
[49] Zaitseva, L. y Boule, C. (2003) Students models in Computer based education. Advanced Learning Technologies, Proceedings. The 3rd IEEE International Conference on Volume , Issue , 9-11 July 2003 Pages: 451–456.
[50] Felder R.M.; Silverman L.K. (1988). Learning Styles and Teaching Styles in Engineering Education. Engr. Ed., v. 78, 7, p. 674-681.
[51] Gardner, H (1993). Inteligencias Múltiples: La teoría en la práctica. Paidós. Barcelona, Buenos Aires, México.
[52] Gardner, H (2001) La inteligencia reformulada: las inteligencias múltiples en el siglo XXI. Barcelona. Paidós.
[53] Felder, R. M.; Baker Ward, L. (1990). How engineering students learn, how engineering professor teach, and what goes wrong in the process. Proc. FIE´90: Frontiers in Ed., p. 82-84.
[54] Bloom, B. (1984). The 2 sigma problem: The search for methods of group instruction as effective as one-to-one tutoring. Educational Researcher, 13, 4-15.
[55] Contreras, D. J. (1991) La didáctica y los procesos de enseñanza aprendizaje, en Enseñanza, Currículum y Profesorado. Introducción a la didáctica, Akal, Madrid.
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2010-07-01
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Z. Cataldi y F. J. Lage, «Modelado del estudiante en sistemas tutores inteligentes», TEyET, n.º 5, pp. p. 29–38, jul. 2010.
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