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Outline

Magix—an ICAE system for Problem-Based Learning

1999, Computers & Education

https://doi.org/10.1016/S0360-1315(98)00051-7

Abstract

Intelligent Computer Aided Education (ICAE) systems are software, aimed at assisting in the teaching and learning of students. Magix is a prototype ICAE system for use in Problem-Based Learning (PBL). In this system the principles of constructivism, user-driven interaction, knowledge-based systems and metacognition are integrated. The fact that the use of a standard algorithm in problem-based learning problem-solving cannot be enforced, greatly complicates the development of the student model. Magix features a student model that consists of a cognitive component supplemented by a metacognitive component. The aim is to externalize the student model in order to facilitate re¯ection and encourage critical, creative and corrective self-monitoring. The system consists of two main subsystems, Magix-Ed the hypertext-based student component and Magix-An the expert system that gives an analysis of the problem-solving attempt performed in Magix-Ed. Magix-Ed presents the problem to be solved in a virtual world. The world consists of objects that visually represent the problem and tools that could be used to solve the problem. Magix-An analyses a student's problem-solving attempts. An evaluation report is produced that aims to encourage certain thinking dispositions, while enriching the student's repertoire of strategies through autoregulation.

References (9)

  1. Battman, W., 1986. Problems in the design of information retrieval systems: user competence and information complexity. MACINTER-I. North-Holland, 131±138.
  2. Du Plessis, J. P., van Biljon, J. A., Tolmie, C. J., & Wollinger, T. A. (1995). Model for Intelligent Computer-Aided Education Systems. Computers and Education, 24(2), 89±106.
  3. Fernandes, L. F., Hadaway, N., & Wilson, J. W. (1994). Problem solving: managing it all. The Mathematics Teacher, 87, 195±198.
  4. Haque, M. M., Evens, M., & Michael, J. A., 1987. A physiology tutor based on an expert system. Proceeding of the Conference of Expert Systems for Advanced Manufacturing Technology. Dearborn, 423±436.
  5. Krause, B., & Hagendorf, H., 1968. Exploratory investigations in acquiring and using information in interactive problem solving. MACINTER-I. North-Holland, 79±87.
  6. Kushniruk, A. W., Patel, V. L., & Fleizer, D. M., 1995. Complex decision making in providing surgical intensive care. Proceedings of the 7 Th. Annual Conference of the Cognitive Science Society, Pennsylvania, 287±292.
  7. Perkins, D., 1991. Keys to thinkingÐrationale for the architecture of a thinking course the challenge of better thinking and learning. Upttrail Trust document. Stellenbosch.
  8. Self, J., 1995. The ebb and ¯ow of student modelling. Proceedings of the International Conference on Computers in Education, Singapore. 40±40h.
  9. Wollinger, T., van Biljon, J. A., du Plessis, J. P., & Tolmie, C. J., 1994. MagicBoxÐan application of the Free State Approach towards Computer Aided Education. Proceedings of the International Conference on Computer-Assisted Education and Training in Developing Countries, Midrand, South Africa.