Evaluating the effectiveness of using the intelligent adaptive training system for design modules based on printed circuit boards
https://doi.org/10.21822/2073-6185-2021-48-4-139-146
Abstract
Objective. The article studies the problem of adequate assessment of the level of acquired knowledge and skills with design of modules based on printed circuit boards (PCB) using CAD PCB. The article considers the issue of assessing the effectiveness of the use of an intelligent adaptive training system, which is the fundamental criterion for the effectiveness of the training process for designing of modules based on PCB. This intelligent adaptive training system of design of modules based PCB enables learners to assess their own performances. The main purpose of the study is to substantiate the algorithm and mathematical models of the developed system for assessing the effectiveness of training using an intelligent adaptive system.
Method. The parameters, algorithm and patterns of building intelligent adaptive learning systems for designing modules based on PCB of ship integrated control systems for future specialists are disclosed.
Result. The target indicators of the effectiveness of training in the design modules based on PCB are highlighted. A fully functional algorithm for assessing the effectiveness of learning the design modules based on PCB in intelligent adaptive systems is determined by the step of technological operations to ensure the uniformity of the learning quality control.
Conclusion. This system can be useful for teachers and specialists-studying the design modules based on PCB. This system can be used at the stage of assessing the achievable characteristics which can significantly speed up the learning process. The research methods are applied in training the design modules based on PCB to the personnel of the shipyard X52 in Vietnam. It is suitable not only for training shipyard personnel to work, for teaching various levels of training of personnel of any industrial enterprise, for example, in aircraft engineering, mechanical engineering or instrument making, and for teaching any CAD system in general.
About the Authors
K. K. Hoang
Shipyard X52
Viet Nam
Viet Nam
Kinh К. Hoang, совместитель
115/2 Kai Zatse Str., Binh Duong Province, Zian
Yu. V. Donetskaya
Saint Petersburg State University of Information Technologies, Mechanics and Optics
Russian Federation
Russian Federation
Yuliya V. Donetskaya, Cand. Sci. (Eng.), Assoc. Prof., Faculty of Information Technology Security
49 Kronverksky Ave., Saint Petersburg 197101
References
1. Rastrigin L.A., Erenshtein M.Kh. Adaptive learning with a learner model. Riga: Zinatne, 1988; 160.
2. V. I. Tokmarova, S. N. Fedorova. Evaluation of the effectiveness of teaching mathematics in an adaptive system: criteria and indicators. [Vestnik Tomskogo gosudarstvennogo pedagogicheskogo universiteta] Bulletin of the Tomsk State Pedagogical University. 2020; 6(212): 151-157. DOI: 10.23951/1609-624X-2020-6-151-157 (In Russ)
3. S. G. Zaidullina, N. G. Migranov. Model for the Formation of an Adaptive Learning Environment and Evaluation of Its Efficiency. Software Products and Systems. 2012; 1: 100 - 104. (In Russ)
4. Bashmakov I.A., Bashmakov I.A. Intelligent information technologies. Publishing house of MSTU im. N.E. Bauman, 2006; 302. (In Russ)
5. S. V. Tarkhov. Adaptive e-learning and evaluation of its effectiveness. Open education. 2005; 5: 37-48. (In Russ)
6. Kanev D. S. Development of models, methods and means of forming a profile of a designer’s competencies in the processes of automated design of machine-building objects (on the example of CAD KOMPAS): dissertation ... Ph.D.: 05.13.12 [Place of defense: Ulyanovsk State Technical University], 2016; 186. (In Russ)
7. Cherepashkov A. A., Samoilov P. A., The use of graoanalytical models in the problems of analyzing the processes of development and implementation of complex automated systems. [Modeli, sistemy, seti v ekonomike, tekhnike, prirode i obshchestve] Models, systems, networks in economics, technology, nature and society. 2017; 2: 268-278. (In Russ)
8. Zabotina N. N. Designing information systems: Textbook. M.: SIC INFRA-M. 2014 - 336 p. (In Russ)
9. Tarkhov S.V. Control of adaptive learning and its optimization based on the theory of abstract automata and Markov processes.[Informatsionnyye tekhnologii modelirovaniya i upravleniya] Information technologies of modeling and control. Scientifictechnical Magazine. 2005; 1: 39-45 (In Russ).
10. K. K. Hoang, E. Yu. Avksent’eva, and Yu. 2021; Formation of an individual trajectory of learning computer-aided design by means of an intelligent adaptive system. [Ergodizayn]Ergodesign 1 (11): 41-48. (In Russ)
11. Toktarova V. I. Assessing the Efficiency of Teaching Mathematics in the E-Learning Environment. Proceedings of 6th International Conference on Education and Social Sciences. 2019; 428–431.
12. C. Martins, C. Faria. User Modeling in Adaptive Hypermedia Educational Systems. Educational Technology & Society. 2008;. 11(1): 194-207.
13. Mahnane L., Laskri M. T., Trigano P. A model of adaptive e-learning hypermedia system based on thinking and learning styles. International Journal of Multimedia and Ubiquitous Engineering. 2013; 8(3): 336-350.
14. Lin H., Xie S., Deng X., Yue H., Cai K. Adaptive recommender system for an intelligent classroom teaching model // International journal of emerging technologies in learning. 2019; 14(5): 51-63. DOI: 10.3991/ijet.v14i05.10251
15. Eckroth Z. J. A course on big data analytics. Journal of Parallel and Distributed Computing. 2018; 118(1): 166-176. https://doi.org/10.1016/j.jpdc.2018.02.019
Review
For citations:
Hoang K.K., Donetskaya Yu.V. Evaluating the effectiveness of using the intelligent adaptive training system for design modules based on printed circuit boards. Herald of Dagestan State Technical University. Technical Sciences. 2021;48(4):139-146. (In Russ.) https://doi.org/10.21822/2073-6185-2021-48-4-139-146
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