Personalised adult e-training on computer use based on multiple attribute decision making

Interacting with Computers

Volumn 16, Issue 1, 2004, Pages 115-132

  Kabassi, Katerina ^a   Virvou, Maria ^a  

^a UNIVERSITY OF PIRAEUS   (Greece)

Author keywords

Adult e learning; Human computer interface; Information technology skills; Intelligent tutoring systems

Indexed keywords

COMPUTER PROGRAMMING; DECISION MAKING; ENGINEERING EDUCATION; HUMAN COMPUTER INTERACTION; INFORMATION TECHNOLOGY; INTELLIGENT NETWORKS; PERSONAL COMPUTERS; PERSONNEL TRAINING; SOCIAL ASPECTS; SOCIETIES AND INSTITUTIONS; STUDENTS; USER INTERFACES;

ADULT E-LEARNING; INFORMATION TECHNOLOGY SKILLS; INTELLIGENT LEARNING ENVIRONMENT (ILE); INTELLIGENT TUTORING SYSTEMS; SIMPLE ADDITIVE WEIGHTING (SAW);

ELECTRONIC COMMERCE;

EID: 0942278609     PISSN: 09535438     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.intcom.2003.11.006     Document Type: Article

References (28)

1. Azar F.S. Multiattribute decision-making: use of three scoring methods to compare the performance of imaging techniques for breast cancer detection. Technical Report MS-BE-00-01. 2000;Department of Computer Science, University of Pennsylvania.
2. Brusilovsky P. Methods and techniques of adaptive hypermedia. User Modeling and User Adapted Interaction. 6:(2/3):1996;87-129.
3. Brusilovsky P., Eklund J., Schwarz E. Web-based education for all: a tool for developing adaptive courseware. Computer Networks and ISDN Systems. 30:1998;291-300.
4. Chin D., Porage A. Acquiring user preferences for product customization. Bauer M., Gmytrasiewicz P., Vassileva J. Proceedings of the Eighth International Conference on User Modeling 2001, UM 2001, LNAI 2109. 2001;95-104.
5. Collins A., Michalski R. The logic of plausible reasoning: a core theory. Cognitive Science. 13:1989;1-49.
6. Collins A., Neville P., Bielaczyc K. The role of different media in designing learning environments. International Journal of Artificial Intelligence in Education. 11:2000;144-162.
7. Cumming G., McDougall A. Mainstreaming AIED into education? International Journal of Artificial Intelligence in Education. 11:2000;197-207.
8. De Bra P., Calvi L. AHA! an open adaptive hypermedia architecture. The New Review of Hypermedia and Multimedia. 4:1998;115-139.
9. De Bra P., Houben G.J., Wu H. AHAM: a dexter-based reference model for adaptive hypermedia. Proceedings of the 10th ACM Conference on Hypertext and Hypermedia. 1999;ACM, New York. pp. 147-156.
10. Duncan D., Brna P., Morss L. A Bayesian approach to diagnosing problems with prolog control flow. Proceedings of the Fourth International Conference on User Modeling. 1994.
11. Fishburn P.C. Additive utilities with incomplete product set: applications to priorities and assignments. Operations Research. 1967.
12. Hwang C.L., Yoon K. Multiple attribute decision making: methods and applications. Lecture Notes in Economics and Mathematical Systems 186. 1981;Springer, Berlin.
13. Kabassi K., Virvou M. Learner modelling in a multi-agent system through web services. Proceedings of 2003 IEEE International Conference on Advanced Learning Technologies: Technology Enhanced Learning - ICALT, 2003. 2003;IEEE Computer Society, Los Alamitos, California. pp. 115-119.
14. Martin J., VanLehn K. Student assessment using Bayesian nets. International Journal of Human Computer Studies. 42:1995;575-591.
15. Massam B.H. The classification of quality of life using multi-criteria analysis. Journal of Geographic Information and Decision Analysis. 3:(2):1999;1-8.
16. ® 98 Resource Kit. 1998;Microsoft Press.
17. Murray T., Piemonte J., Khan S., Shen T., Condit C. Evaluating the need for intelligence in an adaptive hypermedia system. Gauthier G., Frasson C., VanLehn K. Intelligent Tutoring Systems. Proceedings of the Fifth International Conference on Intelligent Tutoring Systems, Lecture Notes in Computer Science 1839. 2000;373-382 Springer, Vienna.
18. Naumann F. Data fusion and data quality. Proceedings of the New Techniques and Technologies for Statistics. 1998.
19. Petrushin V.A., Sinitsa K.M. Using probabilistic reasoning techniques for learner modelling. World Conference on AI in Education. 1993;418-425.
20. Rich E. Stereotypes and user modeling. Kobsa A., Wahlster W. User Models in Dialog Systems. 1989;199-214.
21. Rich E. Users are individuals: individualizing user models. International Journal of Human-Computer Studies. 51:1999;323-338.
22. Sison R., Shimura M. Student modeling and machine learning. International Journal of Artificial Intelligence in Education. 9:1998;128-158.
23. Sperber D., Wilson D. Relevance: communication and cognition. Language and Though Series. 1986;Harvard University Press, Cambridge, MA.
24. Triantaphyllou E., Mann S.H. An examination of the effectiveness of four multi-dimensional decision-making methods: a decision-making paradox. International Journal of Decision Support Systems. 5:1989;303-312.
25. Vincke P. Multicriteria decision-aid. 1992;Wiley, Cambridge.
26. Virvou, M., Du Boulay, B., 1999. Human plausible reasoning for intelligent help. User modeling and user-adapted interaction. 9 321-375.
27. Virvou M., Kabassi K. Evaluation of the advice generator of an intelligent learning environment. Proceedings of the IEEE International Conference on Advanced Learning Technologies (ICALT 2001). 2001;IEEE Computer Society, Silver Spring, MD. pp. 339-342.
28. Yoon K.P., Hwang C.L. Multiple attribute decision making: an introduction. Sage University Papers (Series: Quantitative Applications in the Social Sciences). 1995.