Integrating Agents and Computational Intelligence Techniques in E-learning Environments
In this contribution a newly developed elearning environment is presented, which incorporates Intelligent Agents and Computational Intelligence Techniques. The new e-learning environment is constituted by three parts, the E-learning platform Front-End, the Student Questioner Reasoning and the Student Model Agent. These parts are distributed geographically in dispersed computer servers, with main focus on the design and development of these subsystems through the use of new and emerging technologies. These parts are interconnected in an interoperable way, using web services for the integration of the subsystems, in order to enhance the user modelling procedure and achieve the goals of the learning process.
[1] Eduworks Corporation, 2002. Available: http://www.eduworks.com
[2] J. S. Brown, "Growing up digital: How the web changes work,
education, and the ways people learn", Change Magazine, pp. 11-20,
March/April 2000.
[3] A. Richardson, "An ecology of learning and the role of e-learning in the
learning environment, a discussion paper", Sun Microsystems 2002.
[4] B. H. Khan, "People, process and product continuum in e-learning: The
e-learning P3 model", Educational Technology. vol. 44, no. 5. pp. 33-40,
September-October 2004.
[5] L. Overton (2004), "Linking learning to business", Bizmedia. Available:
http://www.elearningage.co.uk
[6] PHP: Hypertext Preprocessor, http://www.php.net
[7] MySQL Network, http://www.mysql.org
[8] http://www-2.cs.cmu.edu/~javabayes/Home/
[9] W3C - Web Services Activity. Available: http://www.w3.org/2002/ws/
[10] M. Gudgin, M. Hadley, N. Mendelsohn, J. J. Moreau, H. F. Nielsen,
"Simple Object Access Protocol (SOAP) 1.2. W3C", 2003. Available:
http://www.w3.org/tr/soap
[11] R. Chinnici, M. Gudgin, J. J. Moreau, J. Schlimmer, S. Weerawarana,
"Web Services Description Language (WSDL) 2.0. W3C", 2003.
Available: http://www.w3.org/tr/wsdl
[12] K. Januszewski, E. Mooney, R. Harrah, S. Lee, J. Munter, C. von
Riegen. UDDI ver, 3.0. UDDI.org, 202, http://uddi.org
[13] Greek Open University. Available: http://www.eap.gr
[14] A. Jameson, "Numerical uncertainty management in user and student
modeling: An overview of systems and issues", User Modelling and
User-Adapted Interaction, vol. 5, no. 3-4, pp. 193-251, 1996.
[15] K. VanLehn, "Student modelling", in Foundations of Intelligent
Tutoring Systems, M. C. Polson and J. J. Richardson, Eds, Erlbaum,
Hillsdale, NJ, 1988, pp. 55-78.
[16] J. A. Collins, J. E. Greer, and S.X. Huang, "Adaptive assessment using
granularity hierarchies and Bayesian nets", in Proceedings of the Third
International Conference on Intelligent Tutoring Systems (ITS'96), G.
Gauthier C. Frasson and A. Lesgold, Eds, Berlin, Springer, pp. 569-577,
1996.
[17] J. R. Anderson and R. Pelletier, "A development system for modeltracing
tutors", in Proceedings of the International Conference on the
Learning Sciences, L. Birnbaum, Ed, Association for the Advancement
of Computing in Education, 1991, pp. 1-8.
[18] J. R. Anderson, "The expert module", in Foundations of Intelligent
Tutoring Systems, M. C. Polson and J. J. Richardson, Eds, Erlbaum,
Hillsdale, NJ, 1988, pp. 21-53.
[19] J. Martin and K. VanLehn, "Student assessment using bayesian nets",
International Journal of Human-Computer Studies, vol. 42, pp. 575-591,
1995.
[20] C. Conati and K. VanLehn, "Toward computer-based support of metacognitive
skills: a computational framework to coach self-explanation",
International Journal of Artificial Intelligent in Education, vol. 11,
2000.
[21] J. Pearl, Probabilistic Reasoning in Intelligent Systems, Morgan
Kaufmann, Los Altos, CA, 1988.
[22] E. Charniak., "Bayesian networks without tears", AI Magazine, vol. 12
no. 4, pp. 50-63, 1991.
[23] C. Conati, A. S. Gertner, K. VanLehn, and M. J. Druzdel, "On-line
student modelling for coached problem solving using Bayesian
networks", in Proceedings of the Sixth International Conference on User
Modelling, A. Jameson, C. Paris, and C. Tasso, Eds, Vienna, New York,
Springer, 1997, pp. 231-242.
[24] M. Mayo and A. Mitrovic, "Using a probabilistic student model to
control problem difficulty", in Proceedings of the Fifth International
Conference on Intelligent Tutoring Systems (ITS 2000), G. Gauthier, C.
Frasson, and K. VanLehn, Eds, Berlin, Springer, 2000, pages 524-533.
[25] R. J. Mislevy and D.H. Gitomer, "The role of probability-based
inference in an intelligent tutoring system", User Modeling and User-
Adapted Interaction, vol. 5, no. 3-4, pp. 253-282, 1996.
[26] J. D. Zapata-Rivera and J. E. Greer, "SModel server: Student modelling
in distributed multi-agent tutoring systems", in Proceedings of AIED
2001, 10th International Conference on Artificial Intelligence in
Education, J. D. Moore, C. L. Redfield, and W. L. Johnson, Eds, San
Antonio, TX, 2001, pp. 446-455.
[27] Cristina Conati, Abigail Gertner and Kurt Van Lehn, "Using Bayesian
Networks to Manage Uncertainty in Student Modeling", User Modeling
and User-Adapted Interaction, vol. 12, pp. 371-417, Kluwer Academic
Publishers, Printed in the Netherlands, 2002.
[28] Etienne Wenger, "Communities of practice learning as a social system",
The Systems Thinker, vol. 9, no. 5, 1998.
[29] J. S. Brown, P. Duguid, The social life of information, Harvard Business
School Press (Boston), 2000
[1] Eduworks Corporation, 2002. Available: http://www.eduworks.com
[2] J. S. Brown, "Growing up digital: How the web changes work,
education, and the ways people learn", Change Magazine, pp. 11-20,
March/April 2000.
[3] A. Richardson, "An ecology of learning and the role of e-learning in the
learning environment, a discussion paper", Sun Microsystems 2002.
[4] B. H. Khan, "People, process and product continuum in e-learning: The
e-learning P3 model", Educational Technology. vol. 44, no. 5. pp. 33-40,
September-October 2004.
[5] L. Overton (2004), "Linking learning to business", Bizmedia. Available:
http://www.elearningage.co.uk
[6] PHP: Hypertext Preprocessor, http://www.php.net
[7] MySQL Network, http://www.mysql.org
[8] http://www-2.cs.cmu.edu/~javabayes/Home/
[9] W3C - Web Services Activity. Available: http://www.w3.org/2002/ws/
[10] M. Gudgin, M. Hadley, N. Mendelsohn, J. J. Moreau, H. F. Nielsen,
"Simple Object Access Protocol (SOAP) 1.2. W3C", 2003. Available:
http://www.w3.org/tr/soap
[11] R. Chinnici, M. Gudgin, J. J. Moreau, J. Schlimmer, S. Weerawarana,
"Web Services Description Language (WSDL) 2.0. W3C", 2003.
Available: http://www.w3.org/tr/wsdl
[12] K. Januszewski, E. Mooney, R. Harrah, S. Lee, J. Munter, C. von
Riegen. UDDI ver, 3.0. UDDI.org, 202, http://uddi.org
[13] Greek Open University. Available: http://www.eap.gr
[14] A. Jameson, "Numerical uncertainty management in user and student
modeling: An overview of systems and issues", User Modelling and
User-Adapted Interaction, vol. 5, no. 3-4, pp. 193-251, 1996.
[15] K. VanLehn, "Student modelling", in Foundations of Intelligent
Tutoring Systems, M. C. Polson and J. J. Richardson, Eds, Erlbaum,
Hillsdale, NJ, 1988, pp. 55-78.
[16] J. A. Collins, J. E. Greer, and S.X. Huang, "Adaptive assessment using
granularity hierarchies and Bayesian nets", in Proceedings of the Third
International Conference on Intelligent Tutoring Systems (ITS'96), G.
Gauthier C. Frasson and A. Lesgold, Eds, Berlin, Springer, pp. 569-577,
1996.
[17] J. R. Anderson and R. Pelletier, "A development system for modeltracing
tutors", in Proceedings of the International Conference on the
Learning Sciences, L. Birnbaum, Ed, Association for the Advancement
of Computing in Education, 1991, pp. 1-8.
[18] J. R. Anderson, "The expert module", in Foundations of Intelligent
Tutoring Systems, M. C. Polson and J. J. Richardson, Eds, Erlbaum,
Hillsdale, NJ, 1988, pp. 21-53.
[19] J. Martin and K. VanLehn, "Student assessment using bayesian nets",
International Journal of Human-Computer Studies, vol. 42, pp. 575-591,
1995.
[20] C. Conati and K. VanLehn, "Toward computer-based support of metacognitive
skills: a computational framework to coach self-explanation",
International Journal of Artificial Intelligent in Education, vol. 11,
2000.
[21] J. Pearl, Probabilistic Reasoning in Intelligent Systems, Morgan
Kaufmann, Los Altos, CA, 1988.
[22] E. Charniak., "Bayesian networks without tears", AI Magazine, vol. 12
no. 4, pp. 50-63, 1991.
[23] C. Conati, A. S. Gertner, K. VanLehn, and M. J. Druzdel, "On-line
student modelling for coached problem solving using Bayesian
networks", in Proceedings of the Sixth International Conference on User
Modelling, A. Jameson, C. Paris, and C. Tasso, Eds, Vienna, New York,
Springer, 1997, pp. 231-242.
[24] M. Mayo and A. Mitrovic, "Using a probabilistic student model to
control problem difficulty", in Proceedings of the Fifth International
Conference on Intelligent Tutoring Systems (ITS 2000), G. Gauthier, C.
Frasson, and K. VanLehn, Eds, Berlin, Springer, 2000, pages 524-533.
[25] R. J. Mislevy and D.H. Gitomer, "The role of probability-based
inference in an intelligent tutoring system", User Modeling and User-
Adapted Interaction, vol. 5, no. 3-4, pp. 253-282, 1996.
[26] J. D. Zapata-Rivera and J. E. Greer, "SModel server: Student modelling
in distributed multi-agent tutoring systems", in Proceedings of AIED
2001, 10th International Conference on Artificial Intelligence in
Education, J. D. Moore, C. L. Redfield, and W. L. Johnson, Eds, San
Antonio, TX, 2001, pp. 446-455.
[27] Cristina Conati, Abigail Gertner and Kurt Van Lehn, "Using Bayesian
Networks to Manage Uncertainty in Student Modeling", User Modeling
and User-Adapted Interaction, vol. 12, pp. 371-417, Kluwer Academic
Publishers, Printed in the Netherlands, 2002.
[28] Etienne Wenger, "Communities of practice learning as a social system",
The Systems Thinker, vol. 9, no. 5, 1998.
[29] J. S. Brown, P. Duguid, The social life of information, Harvard Business
School Press (Boston), 2000
@article{"International Journal of Business, Human and Social Sciences:51619", author = "Konstantinos C. Giotopoulos and Christos E. Alexakos and Grigorios N. Beligiannis and Spiridon D.Likothanassis", title = "Integrating Agents and Computational Intelligence Techniques in E-learning Environments", abstract = "In this contribution a newly developed elearning environment is presented, which incorporates Intelligent Agents and Computational Intelligence Techniques. The new e-learning environment is constituted by three parts, the E-learning platform Front-End, the Student Questioner Reasoning and the Student Model Agent. These parts are distributed geographically in dispersed computer servers, with main focus on the design and development of these subsystems through the use of new and emerging technologies. These parts are interconnected in an interoperable way, using web services for the integration of the subsystems, in order to enhance the user modelling procedure and achieve the goals of the learning process.
", keywords = "E-learning environments, intelligent agents, user modeling, Bayesian Networks, computational intelligence.", volume = "1", number = "7", pages = "301-8", }
