Introducing prerequisite relations in a multi-layered bayesian student model

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

Volumn 3538 LNAI, Issue , 2005, Pages 347-356

  Carmona, C ^a   Millan E ^a   Perez de la Cruz J L ^a   Trella, M ^a   Conejo, R ^a  

^a UNIVERSITY OF MÁLAGA   (Spain)

Author keywords

[No Author keywords available]

Indexed keywords

ADAPTIVE SYSTEMS; COMPUTER SCIENCE; COMPUTER SIMULATION; LEARNING SYSTEMS; STUDENTS;

BAYESIAN NETWORKS; EDUCATIONAL SETTING; HUMAN REASONING; MULTI LAYERED BAYESIAN STUDENT MODEL;

COMPUTER NETWORKS;

EID: 26944432689     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11527886_46     Document Type: Conference Paper

References (11)

1. Brusilovsky, P., Karagianidis, C., Sampson, D. The benefits of layered evaluation of adaptive applications and services. Proceedings of the UM 2001 workshop on Empirical Evaluation of Adaptive Systems. Pedagogical Univ. of Freiburg (2001) 1-8
2. Carmona, C., Conejo, R. A Learner Model in a Distributed Environment. LNCS 3137, Springer Verlag (2004) 353-359
3. Conati C., Gertner. A., VanLehn, K. Using Bayesian Networks to Manage Uncertainty in Student Modeling. User Modeling and User-Adapted Interaction, 12(4), (2002) 371-417
4. Conejo, R., Guzmán, E., Millán, E., Pérez, J. L., Trella, M. SIETTE: A Web-Based Tool for Adaptive Testing. International Journal of Artificial Intelligence in Education, 14(1), (2004) 29-61
5. Dowling, C. E., Hockemeyer, C., Ludwig, A.H. Adaptive Assessment and Training Using the Neighborhood of Knowledge States. In LNCS 1086, Springer Verlag (1996) 578-585
6. Henze, N., Nedjl, W. Student Modeling for the KBS Hyperbook System using Bayesian Networks. Technical report, University of Hannover (1998)
7. Horvitz, E., Breese, J., Heckerman, D., Hovel, D., Rommeise, K. The Lumière Project: Bayesian User Modeling for Inferring the Goals and Needs of Software Users. Proceedings of UAI'98, Morgan Kauffman (1998) 256-265
8. Mayo, M., Mitrovic, A. Using a Probabilistic Student Model to Control Problem Difficulty. In LNCS 1839, Springer Verlag (2000) 525-533
9. Millán, E., Pérez-de-la-Cruz, J. L., Suárez, E. An Adaptive Bayesian Network for Multilevel Student Modeling. In LNCS 1839, Springer Verlag (2000) 534-543
10. Millán, E., Pérez-de-la-Cruz, J. L. A Bayesian Diagnostic Algorithm for Student Modeling. User Modeling and User-Adapted Interaction, 12, (2002) 281-330
11. Vassileva, J., McCalla, G., Greer, J. Multi-Agent Multi-User Modeling in I-Help. User Modeling and User-Adapted Interaction, 12, (2003) 179-210