The design of a ‘motivating’ intelligent assessment system

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 2363, Issue , 2002, Pages 811-820

  Georgouli, Katerina ^a  

^a UNIVERSITY OF WEST ATTICA   (Greece)

Author keywords

Adaptive assessment; Intelligent tutoring systems; Motivation; Problem solving

Indexed keywords

COMPUTER AIDED INSTRUCTION; MOTIVATION; PROBLEM SOLVING; STUDENTS;

ADAPTIVE ASSESSMENT; INTELLIGENT ASSESSMENT SYSTEMS; INTELLIGENT TUTORING SYSTEM; WORD PROBLEM SOLVING;

INTELLIGENT VEHICLE HIGHWAY SYSTEMS;

EID: 84943276520     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-47987-2_81     Document Type: Conference Paper

References (12)

1. Boulay, B. du, Luckin, R., and del Soldato, T.: The Plausibility Problem: Human Teaching Tactics in the’Hands’ of a Machine. International Conference on Artificial Intelligence in Education: Open Learning Environments: New Computational Technologies to Support Learning, Exploration and Collaboration, Le Mans, France, IOS Press (1999).
2. Koedinger, K., Anderson J.: Intelligent Tutoring Goes to School in the Big City”. International Journal of Artificial Intelligence in Education 8 (1997) 30-43.
3. Self, J.: The defining characteristics of intelligent tutoring systems research: ITSs care, precisely. International Journal of Artificial Intelligence in Education 10 (1999) 350-364.
4. Lepper, M. R., Woolverton, M., Mumme, D., & Gurtner, J.: Motivational techniques of expert human tutors: Lessons for the design of computer-based tutors. Computers as cognitive tools. S. P. Lajoie, & S.J Derry, (eds), Hillsdate, NJ: Erlbaum Associates (1993) 75-105.
5. Aubé, M.: Towards Computational Models of Motivation: A much needed foundation for social sciences and education. International Journal of Artificial Intelligence in Education, 8(1) (1997) 43-75.
6. Viau, R.: La motivation en contexte scolaire, Saint-Laurent:ERPL(1994).
7. Keller, J. M.: Strategies for stimulating the motivation to learn. Performance and Instruction Journal, 26 (1987) 1-7.
8. de Vicente, A., & Pain, H.: Motivation Diagnosis in Intelligent Tutoring Systems. Proceedings of ITS’98, Springer-Verlag, (1998) 86-95.
9. del Soldato, T., & du Boulay, B.: “Implementation of Motivational Tactics in Tutoring System”. International Journal of Artificial Intelligence in Education 6 (4) (1995). 337-wing378.
10. Gouli, E., Kornilakis, H., Papanikolaou, K., Grigoriadou, M.: Adaptive Assessment improving interaction in an Educational Hypermedia System. In: Avouris, N., Fakotakis, N. (eds): Advances in Human-Computer Interaction I. Proceeding of the Pan Hellenic Conference with International Participation in Human-Computer Interaction, (2001) 217-222.
11. Dowling, C., and Kaluscha, R.: Prerequisite Relationships for the Adaptive Assessment of Knowledge. Artificial Intelligence in Education. G. J. Charlottesville, V.A. Association for the Advancement of Computing in Education (AACE) (1995) 43-50.
12. Prentzas J., Hatzilygeroudis I. and Koutsojannis C.: A Web-Based ITS Controlled by an Expert System, Proceedings of the IEEE International Conference on Advanced Learning Technologies (ICALT 2001), Madison, Wisconsin, USA (2001) 239-40.