Abstract
A hypermedia tutorial describing an approach to building adaptive courseware by Student Modeling is presented. This tutorial combines both the hypertext traversal techniques and the demo/training animation features, which enable one to practice the learned material directly during the session. The key principles of both Student and Interface Modeling and their interaction, together with the issues of Scenario Control for the adaptive tutorial generation are thoroughly explained in the presented application and briefly sketched in the current paper.
References
Gavrilova, T., Zudilova, H. Individualized Teaching in The Knowledge Engineer's Workbench Through User Modeling. Proceedings of East-West International Conference on Computer Technologies in Education.-Crimea, Ukraine, (1994) 53–55.
Hix, D., Hartson, H. Developing User Interfaces, Wiley & Sons (1993).
Johansen, G. Design of Intelligent Human-Machine Interfaces. Proc. 3rd IEEE International Workshop on Robot and Human Communications, Nagoya, (1994) pp.97–114.
Rich, E. Users are Individuals: Individualizing User Models. Int. Journal of ManMachine Studies, 3, No.18, (1983) pp.23–46.
Self, J. Model-Based Cognitive Diagnosis. User Modeling and User-Adapted Interfaces. 3, No.1, (1993) 87–106.
Voinov, A., Gavrilova, T. Adaptive Interface Design and Scenario Control via User Modeling. Preprints of 6th IFAC/IFIP/IFORS/IEA Symposium on Analysis, Design and Evaluation of Man-Machine Systems.-MIT, Cambridge.-(1995) pp.535–540.
Wagner, E. A System Ergonomics Design Methodology HCI Development. Proc. of East-West International Conference on Human-Computer Interaction EWHCI'92, (1992) 388–407.
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© 1996 Springer-Verlag Berlin Heidelberg
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Gavrilova, T., Averbukh, E., Voinov, A. (1996). An approach to learning software based on Student Modelling. In: Díaz de Ilarraza Sánchez, A., Fernández de Castro, I. (eds) Computer Aided Learning and Instruction in Science and Engineering. CALISCE 1996. Lecture Notes in Computer Science, vol 1108. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0022642
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DOI: https://doi.org/10.1007/BFb0022642
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