Fuzzy inference for student diagnosis in adaptive educational hypermedia

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

Volumn 2308, Issue , 2002, Pages 191-202

  Grigoriadou, Maria ^a   Kornilakis, Harry ^a   Papanikolaou, Kyparisia A ^a   Magoulas, George D ^b  

^a UNIVERSITY OF ATHENS   (Greece)

^b BRUNEL UNIVERSITY   (United Kingdom)

Author keywords

Adaptive Educational Hypermedia Systems; Analytic Hierarchy Process; Fuzzy Logic; Student Diagnosis

Indexed keywords

ANALYTIC HIERARCHY PROCESS; COMPUTER CIRCUITS; FUZZY INFERENCE; FUZZY LOGIC; HYPERMEDIA SYSTEMS; INTELLIGENT SYSTEMS;

ADAPTIVE EDUCATIONAL HYPERMEDIA; ADAPTIVE EDUCATIONAL HYPERMEDIA SYSTEMS; ADAPTIVE HYPERMEDIA; EDUCATIONAL SYSTEMS; MULTI CRITERIA DECISION MAKING; PERSONALIZED INSTRUCTION; REMOTE ENVIRONMENT; STUDENT DIAGNOSIS;

STUDENTS;

EID: 84943174282     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-46014-4_18     Document Type: Conference Paper

References (13)

1. Brusilovsky, P.: Methods and Techniques of Adaptive Hypermedia. User Modeling and User-Adapted Interaction, Vol. 6. Kluwer Academic Publ., Netherlands (1996) 87-129
2. Carroll, J.M., Rosson, M.B. (1990). Human-computer interaction scenarios as a design representation. In Proc. of IEEE HICSS-23, 23rd Hawaii Intl. Conf. System Sciences Vol. II, 555-561.
3. Papanikolaou, K., Grigoriadou, M., Kornilakis, H., Magoulas, G.: INSPIRE: An INtelligent System for Personalized Instruction in a Remote Environment. In: Reich, S., Tzagarakis, M.M., De Bra, P. M.E. (eds.): “Hypermedia: Openness, Structural Awareness and Adaptivity”. Lecture Notes in Computer Science Vol. 2266. Springer-Verlag, Berlin (2001)
4. Jameson, A.: Numerical Uncertainty Management in User and Student Modeling: An Overview of Systems and Issues. User Modeling and User-Adapted Interaction 5:3/4 (1996) 193-251
5. Lin, C.T., Lee, C.S.G.: Neural Fuzzy Systems: A Neuro-Fuzzy Synergism to Intelligent Systems. Prentice Hall P T R Upper Saddle River, New Jersey (1996)
6. Magoulas, G.D., Papanikolaou, K.A., Grigoriadou, M.: Neuro-fuzzy Synergism for Planning the Content in a Web-based Course. Informatica 25:1 (2001) 39-48
7. Merril, M.D.: Component Display Theory. In: C.M.Reigeluth (ed.), Instructional design theories and models: An overview of their current status. Lawrence Elrbaum Associates Hillsdale NJ (1983)
8. Panagiotou M., Grigoriadou M.: An Application of Fuzzy Logic to Student Modeling. In: Proceedings of the IFIP World conference on Computer in Education. (WCCE95), Birmigham (1995)
9. Reece, I., Walker, S.: Teaching, Training and Learning. A Practical Guide. Third Edition. Business Education Publishers Limited, Sunderland (1997)
10. Saaty T.: The Analytic Hierarchy Process, McGraw-Hill, New York (1980)
11. VanLehn, K.: Student Modeling. In: Polson, M. C., Richardson, J.J. (eds.): Foundations of Intelligent Tutoring Systems. Lawrence Erlbaum Associates Hillsdale, New Jersey (1988) 55-78
12. VanLehn, K., Niu, Z.: Bayesian student modeling, user interfaces and feedback: A sensitivity analysis. International Journal of Artificial Intelligence in Education 12 (2001)
13. Zadeh, L. A.: Fuzzy Sets. Information and Control 8:3 (1965) 338-353