INTELLIGENT TRAINING SYSTEMS
https://doi.org/10.26425/1816-4277-2018-1-149-155
Abstract
References
1. Nacional’nyj standart Rossijskoj Federacii GOST R 56846/ISO/TS 160:2004 [National Standard of the Russian Federation GOST R 56846/ISO/TS 160:2004]. First edition 2016-11-01.
2. Avanskij S. M., Zatylkin A.V., Jurkov N.K. Predstavlenie modeli pol’zovatelja i predmetnoj sredy obuchenija // Trudy Mezhdunarodnogo simpoziuma «Nadezhnost’ i kachestvo» [Presentation of the user model and the learning environment / Proceedings of the International Symposium «Reliability and Quality». General and complex problems of natural and exact sciences] // Obshhie i kompleksnye problemy estestvennyh i tochnyh nauk [General and complex problems of natural and exact sciences], 2007, pp. 66–67.
3. Gavrilova T. A. Chelovecheskij faktor i model’ pol’zovatelja v intellektual’nyh obuchajushhih sistemah [Human Factor and User Model in Intelligent Learning Systems] // IV nacional’naja konferencija s mezhdunarodnym uchastiem «Iskusstvennyj intellekt – 94» [IV National Conference with International Participation “Artificial Intelligence - 94]. Rybinsk, 1994. Vol. 1, pp.99–103.
4. Golenkov V. V., Emel’janov V.V, Tarasov V.B. Virtual’nye kafedry i intellektual’nye obuchajushhie sistemy [Virtual Chairs and Intelligent Learning Systems] // Novosti iskusstvennogo intellekta [News of artificial intelligence], 2001, I. 4, pp. 3–13.
5. Petrushin V. A. Jekspertno-obuchajushhie sistemy [Expert-training systems]. Kiev: Naukova dumka, 1982.
6. Petrushin V. A. Jekspertno-obuchajushhie sistemy [Expert-training systems]. Kiev: Naukova dumka, 1992.
7. Petrushin V. A. Intellektual’nye obuchajushhie sistemy: arhitektura i metody realizacii (obzor) [Intellectual training systems: architecture and implementation methods (overview)] // Izvestija Akademii nauk. Tehnicheskaja kibernetika [Academy of Sciences Bulletin. Technical cybernetics], 1993. pp. 164–190.
8. Pospelov D. A. Iskusstvennyj intellekt. Kn. 2. Modeli i metody: Spravochnik [Artificial Intelligence. Vol. 2. Models and methods. Handbook]. Moscow, Radio i svjaz’, 1990.
9. Janushko D. Ju. Intellektual’nye i jekspertnye sistemy distancionnogo obuchenija v sisteme povyshenija kvalifikacii [Intellectual and expert systems of distance learning in the system of professional development]. Moscow, Institute of law studies, 2010.
10. Intellektual’noe upravlenie processom obuchenija. Analiz i proektirovanie sistem [Intelligent management of the learning process. Analysis and design of systems]. Available at: https://habrahabr.ru/post/194240/ (Accessed: 20 November 2017).
11. B. de Boulay, Soldato T. Implementation of motivational tactics in tutoring systems. Via de Marini: Journal of Artificial Intelligence in Education, 1995. Pp. 387–420.
12. Carbonell J.R. AI in CAI: an Artificial Intelligence Approach to Computer-Aided Instruction/IEEE Transactions on Man-Machine Systems. Vol. MMS-11. №4, San Mateo, CA: 1970. Pp. 190–202.
13. Joel A. Shapiro An Algebra Subsystem for Diagnosing Students’ Input in a Physics Tutoring System. 3 izd. Pittsburgh: Learning Research and Development Center University of Pittsburgh, 2004. Pp. 205–220.
14. Ohlson S. Some Principles of Intelligent Tutoring/Artificial Intelligence and Education. Vol.1. Learning Environments and Tutoring Systems/ Ed. by R.W. Lawler, M. Yazdani. Norwood: Ablex Publ. Corp. 1987. Pp. 203–238.
15. The Andes Physics Tutor. Available at: http://www.andestutor.org/ (Accessed: 15 November 2017).
Review
For citations:
Alesheva L. INTELLIGENT TRAINING SYSTEMS. Vestnik Universiteta. 2018;(1):149-155. (In Russ.) https://doi.org/10.26425/1816-4277-2018-1-149-155