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Teaching tools and methods: GeNisa: a web-based interactive learning environment for teaching simulation modelling
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Source Winter Simulation Conference archive
Proceedings of the 33nd conference on Winter simulation table of contents
Arlington, Virginia
SESSION: Simulation education table of contents
Pages: 1605 - 1612  
Year of Publication: 2001
ISBN:0-7803-7309-X
Authors
Tajudeen Atolagbe  Brunel University, Uxbridge, Middlesex UB8 3PH, U.K.
Vlatka Hlupic  Brunel University, Uxbridge, Middlesex UB8 3PH, U.K.
Simon J. E. Taylor  Brunel University, Uxbridge, Middlesex UB8 3PH, U.K.
Sponsors
INFORMS/CS : Institute for Operations Research and the Management Sciences/College on Simulation
IEEE/SMCS : Institute of Electrical and Electronics Engineers/Systems, Man, and Cybernetics Society
NIST : National Institute of Standards and Technology
ACM: Association for Computing Machinery
SCS : The Society for Computer Simulation International
SIGSIM: ACM Special Interest Group on Simulation and Modeling
IIE : Institute of Industrial Engineers
IEEE/CS : Institute of Electrical and Electronics Engineers/Computer Society
ASA : American Statistical Association
Publisher
IEEE Computer Society  Washington, DC, USA
Bibliometrics
Downloads (6 Weeks): 11,   Downloads (12 Months): 36,   Citation Count: 2
Additional Information:

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ABSTRACT

Intelligent Tutoring Systems (ITS) provide students with adaptive instruction and can facilitate the acquisition of problem solving skills in an interactive environment. This paper discusses the role of pedagogical strategies that have been implemented to facilitate the development of simulation modelling knowledge. The learning environment integrates case-based reasoning with interactive tools to guide tutorial remediation. The evaluation of the system shows that the model for pedagogical activities is a useful method for providing efficient simulation modelling instruction.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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Atolagbe, T., and Hlupic, V. 2001. GeNisa: A Generic Architecture for Intelligent Tutoring Systems. Submitted to International Journal for Artificial Intelligence in Education.
 
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Atolagbe, T. and Hlupic, V. 1998. A Conceptual Model for An Internet Based Intelligent Tutoring System for Simulation Modelling. In Proceedings of 10th European Simulation Symposium and Exhibition. Bargiela, A. and Kerckhoffs, E. (Eds.), Nottingham, 692-694.
 
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Atolagbe. A. T. and Hlupic, V. 1997. A Reusable Architecture for Intelligent Tutoring Systems for Teaching Simulation Modelling. In the Proceedings of the 9th European Symposium on Simulation in Industry Conference. Kaylan, A. R. and Lehmann, A. (Eds.) Passau, 187-192.
 
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Brusilovsky, P. 1998. Adaptive Educational Systems on the World-Wide-Web: A Review of Available Technologies. In Proceedings of Workshop WWW-based Tutoring of the 4th International Conference on Intelligent Tutoring Systems , San Antonio, TX.
 
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Bryman, A. and Cramer, D. 1997. Quantitative Data Analysis. London. Routledge.
 
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Chi, M. T. H. 2000. Self-Explaining: The dual process of generating inferences and repairing mental models. In Glaser, R. (Ed.). Advances in Instructional Psychology, Mahwah, NJ, Lawrence Erlbaum Associates, 161-238.
 
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Cronbach, L. J. and Snow R. E. 1977. Aptitudes and Instructional Methods: A Handbook for Research on Interactions. Irvington, New York.
 
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Conati, C., Gertner, A., VanLehn, K., and Druzdzel, M., 1997. On-line student modeling for Coached problem solving using Bayesian Networks. Proceedings of Sixth International Conference on User Modelling, 231-242.
 
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Dieterich, H., Malinowski, U., Kühme, T. and SchneiderHufschmidt, M. 1993. State of the Art in Adaptive User Interfaces. In SchneiderHufschmidt, M., Kühme T. and Malinowski, U. (Eds.), Adaptive User Interfaces: Principles and Practice. Amsterdam, 13-48.
 
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Howell, F. W. 1997. The Simjava User Manual. University of Edinburg.
 
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Mark, M. A. and Greer, J. E. 1993. Evaluation Methodologies for Intelligent Tutoring Systems, Journal of Artificial Intelligence in Education, 4: 129-153.
 
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Murray, T. 1999. Authoring Intelligent Tutoring Systems: An Analysis of the State of the Art. International Journal of Artificial Intelligence in Education, 10(1): 98-129.
 
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Ohlsson, S. 1993. Impact of Cognitive Theory on the Practice of Courseware Authoring, Journal of Computer Assisted Learning, 9(4): 194-221.
 
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Paul, R. J., Taylor, S. J. E., Hlupic, V., and Baldwin, L. P. 1998. A Methodology for the Integration of Computer-Based Training into Simulation Modelling Courses. Proceedings of European Simulation Conference, Bargiela, A and Kerckhoffs, E. (Eds.), Nottingham, 709-714.
 
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Rickel, J., and Johnson, W. L. 1999. Animated Agents for Procedural Training in Virtual Reality: Perception, Cognition, and Motor Control. Applied Artificial Intelligence, 13: 343-382.
 
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VanLehn, K. 1996. Cognitive Skill Acquisition. In Spence, J., Darly, J., and Foss, D. J. (Eds.), Annual Review of Psychology, Palo Alto, CA., 47: 513-539.
 
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Collaborative Colleagues:
Tajudeen Atolagbe: colleagues
Vlatka Hlupic: colleagues
Simon J. E. Taylor: colleagues