Standard
Learner-model approach to multi-agent intelligent distance learning system for program testing. / Gavrilova, Tatiana; Voinov, Alexander; Lescheva, Irina.
Multiple Approaches to Intelligent Systems - 12th International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems IEA/AIE 1999, Proceedings. ed. / Ayman El-Dessouki; Ibrahim Imam; Yves Kodratoff; Moonis Ali. Springer Nature, 1999. p. 440-449 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 1611).
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review
Harvard
Gavrilova, T, Voinov, A & Lescheva, I 1999,
Learner-model approach to multi-agent intelligent distance learning system for program testing. in A El-Dessouki, I Imam, Y Kodratoff & M Ali (eds),
Multiple Approaches to Intelligent Systems - 12th International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems IEA/AIE 1999, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 1611, Springer Nature, pp. 440-449, 12th International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, IEA/AIE 1999, Cairo, Egypt,
31/05/99.
https://doi.org/10.1007/978-3-540-48765-4_48
APA
Gavrilova, T., Voinov, A., & Lescheva, I. (1999).
Learner-model approach to multi-agent intelligent distance learning system for program testing. In A. El-Dessouki, I. Imam, Y. Kodratoff, & M. Ali (Eds.),
Multiple Approaches to Intelligent Systems - 12th International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems IEA/AIE 1999, Proceedings (pp. 440-449). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 1611). Springer Nature.
https://doi.org/10.1007/978-3-540-48765-4_48
Vancouver
Author
Gavrilova, Tatiana ; Voinov, Alexander ; Lescheva, Irina. /
Learner-model approach to multi-agent intelligent distance learning system for program testing. Multiple Approaches to Intelligent Systems - 12th International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems IEA/AIE 1999, Proceedings. editor / Ayman El-Dessouki ; Ibrahim Imam ; Yves Kodratoff ; Moonis Ali. Springer Nature, 1999. pp. 440-449 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
BibTeX
@inproceedings{73806abb24f746dd976dc8e0b1b258d9,
title = "Learner-model approach to multi-agent intelligent distance learning system for program testing",
abstract = "A project of an intelligent multi-agent system for distance learning, which is currently being developed in the Institute for High Performance Computing and Databases, is described. The system{\textquoteright}s adaptability, i.e.its ability to adjust itself to the personal characteristics and preferences of its user, is based on User Model, which is initiated according to the results of prior user testing and is adjusted dynamically during the user{\textquoteright}s session. As an example of an application domain the program testing is chosen - the domain, which is one of the weakest points in the software engineering practice in Russia. The described system is intended for using via Internet by common WWW-browsers.",
keywords = "user model, High performance computing, Distance Learning, Subject domain, interface engineer, SCOPUS",
author = "Tatiana Gavrilova and Alexander Voinov and Irina Lescheva",
note = "Gavrilova, T. A. Learner-model approach to multi-agent intelligent distance learning system for program testing / T. A. Gavrilova, A. V. Voinov, I. Lescheva // Multiple Approaches to Intelligent Systems - 12th International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems. – 1999. – Volume 1611. – P. 440-449.; 12th International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, IEA/AIE 1999 ; Conference date: 31-05-1999 Through 03-06-1999",
year = "1999",
month = jan,
day = "1",
doi = "10.1007/978-3-540-48765-4_48",
language = "English",
isbn = "3540660763",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Nature",
pages = "440--449",
editor = "Ayman El-Dessouki and Ibrahim Imam and Yves Kodratoff and Moonis Ali",
booktitle = "Multiple Approaches to Intelligent Systems - 12th International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems IEA/AIE 1999, Proceedings",
address = "Germany",
}
RIS
TY - GEN
T1 - Learner-model approach to multi-agent intelligent distance learning system for program testing
AU - Gavrilova, Tatiana
AU - Voinov, Alexander
AU - Lescheva, Irina
N1 - Gavrilova, T. A. Learner-model approach to multi-agent intelligent distance learning system for program testing / T. A. Gavrilova, A. V. Voinov, I. Lescheva // Multiple Approaches to Intelligent Systems - 12th International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems. – 1999. – Volume 1611. – P. 440-449.
PY - 1999/1/1
Y1 - 1999/1/1
N2 - A project of an intelligent multi-agent system for distance learning, which is currently being developed in the Institute for High Performance Computing and Databases, is described. The system’s adaptability, i.e.its ability to adjust itself to the personal characteristics and preferences of its user, is based on User Model, which is initiated according to the results of prior user testing and is adjusted dynamically during the user’s session. As an example of an application domain the program testing is chosen - the domain, which is one of the weakest points in the software engineering practice in Russia. The described system is intended for using via Internet by common WWW-browsers.
AB - A project of an intelligent multi-agent system for distance learning, which is currently being developed in the Institute for High Performance Computing and Databases, is described. The system’s adaptability, i.e.its ability to adjust itself to the personal characteristics and preferences of its user, is based on User Model, which is initiated according to the results of prior user testing and is adjusted dynamically during the user’s session. As an example of an application domain the program testing is chosen - the domain, which is one of the weakest points in the software engineering practice in Russia. The described system is intended for using via Internet by common WWW-browsers.
KW - user model
KW - High performance computing
KW - Distance Learning
KW - Subject domain
KW - interface engineer
KW - SCOPUS
UR - http://www.scopus.com/inward/record.url?scp=84904153265&partnerID=8YFLogxK
U2 - 10.1007/978-3-540-48765-4_48
DO - 10.1007/978-3-540-48765-4_48
M3 - Conference contribution
AN - SCOPUS:84904153265
SN - 3540660763
SN - 9783540660767
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 440
EP - 449
BT - Multiple Approaches to Intelligent Systems - 12th International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems IEA/AIE 1999, Proceedings
A2 - El-Dessouki, Ayman
A2 - Imam, Ibrahim
A2 - Kodratoff, Yves
A2 - Ali, Moonis
PB - Springer Nature
T2 - 12th International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, IEA/AIE 1999
Y2 - 31 May 1999 through 3 June 1999
ER -
