Curriculum evaluation: A case study

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

Volumn 1452, Issue , 1998, Pages 106-115

  Dufort, Hugo ^a   Aïmeur, Esma ^a   Frasson, Claude ^a   Lalonde, Michel ^a  

^a UNIVERSITÉ DE MONTRÉAL   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER AIDED INSTRUCTION; CURRICULA;

CURRICULUM EVALUATION; EDUCATIONAL THEORY; INTELLIGENT TUTORING SYSTEM;

INTELLIGENT VEHICLE HIGHWAY SYSTEMS;

EID: 84877946336     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-68716-5_16     Document Type: Conference Paper

References (15)

1. Anderson J.R., Boyle C.F., Corbett A., Lewis M. Cognitive modeling and intelligent tutoring. Artificial Intelligence, 42.
2. Bloom B.J. Taxonomy of educational objectives: the classification of educational goals. New York: Longmans, Green.
3. Gagné, R. M. The conditions of Learning, 4th edn. Les éditions HRW Ltée. Montréal.
4. Gaines, B. Knowledge Acquisition Systems. Knowledge Engineering, vol 1, Fundamentals, pp 52-102, Edited by Hojjat Adeli, McGraw-Hill.
5. Koedinger K.R., Anderson J.R. Effective use of intelligent software in high school math classrooms. In Proceedings of the World Conference on Artificial Intelligence in Education, (pp. 241-248). Charlottesville, VA: Association for the Advancement of Computer in Education.
6. Lalonde M., Robert C. Construction de cours et outils de développement. TeleLearning 6.2.1. Internal report, Université de Montréal, DIRO.
7. Mark M.A., Greer J.E. The VCR Tutor: evaluating instructional effectiveness. In Proceedings of the Thirteenth Annual Conference of the Cognitive Science Society. Hillsdale, NJ: Lawrence Erlbaum Associates.
8. McArthur D., Lewis M.W., Bishay M. The role of artificial intelligence in education: current progress and future prospects. RAND, Santa Monica, CA, DRU-472-NSF.
9. McCalla G. The search for adaptability, flexibility, and individualization: approaches to curriculum in intelligent tutoring systems. In Adaptative learning environments: foundations and frontiers, Berlin: Springer-Verlag.
10. Millet, Gouardères. Approche qualitative de la ré-ingénierie d’un système tuteur intelligent à partir d’une méthodologie d’évaluation. In Proceedings of the third international conference, ITS’96, Montréal.
11. Murray T. Special purpose ontologies and the representation of pedagogical knowledge. In Proceedings of the International Conference for the Learning Sciences (ICLS-96), Evanston, IL, 1996. AACE: Charlottesville, VA.
12. Newell, A., Simon, H.A. Human Problem Solving. Prentice Hall, Inc., Englewood Cliffs, NJ.
13. Nkambou, R. Modélisation des connaissances de la matière dans un système tutoriel intelligent: modèles, outils et applications. Doctoral thesis. Université de Montréal, 1996.
14. Obermeier, K.K. Natural language processing technologies in artificial intelligence: the science and industry perspective. Halsted Press ed. Ellis Horwood, Chichester, England.
15. Pressman, R.S. Software Engineering: A Practitioner’s Approach, 4th Edition, McGraw Hill, 1997.