Open Access Open Access  Restricted Access Subscription or Fee Access

Problem Formulation for Determining the Effectiveness of Development and Application of Adaptive Training Systems for Ergatic Systems


(*) Corresponding author


Authors' affiliations


DOI: https://doi.org/10.15866/iremos.v13i3.17275

Abstract


In the framework of this article, the problem of optimization of adaptive training complexes (ATC) for professional ergatic systems is formulated, based on research of systemic links, regularities of interaction and functioning of individual components of ATC. Studies of the training process in ATC have also been conducted, making possible to evaluate and improve the economic efficiency, the speed and the quality of training in ATC. The article presents the mathematical model of ATC on the basis of set theory, which is distinguished not only by the economic features of ATC design, but also by studies in the field of optimizing the learning process, assessing the speed and the quality of its implementation. The presented approach to the formalization of the main objects of ATC and the processes of their interaction allows the software and the hardware implementation of modules and subsystems of ATC. A set of criteria for optimizing ATC in several areas: economic costs, quality and time of training are formulated. Thus, the presented mathematical model of ATC can be used to solve the problem of optimizing the learning process and designing simulator complexes, adapting them to the psychophysical characteristics of the trainees, determining optimal parameters and structure of ATC, depending on the set conditions.
Copyright © 2020 Praise Worthy Prize - All rights reserved.

Keywords


Professional Ergatic Systems; Adaptive Training System; Effectiveness of Training; Mathematical Model of the Training Complex

Full Text:

PDF


References


Sellberg, C. (2017). Simulators in bridge operations training and assessment: a systematic review and qualitative synthesis. WMU Journal of Maritime Affairs, 16(2), 247-263.
https://doi.org/10.1007/s13437-016-0114-8

Valente, M. M., Carneiro, A., Torres, M., Figueiredo, C., Santos, M., Correira, T., ... & Meirinhos, V. (2019, October). Application of Virtual Reality and Augmented Reality in the Performance Management Process and Productivity: A Systematic Review. In Conferência-Investigação e Intervenção em Recursos Humanos (No. 9).

de Armas, C., Tori, R., & Netto, A. V. (2019). Use of virtual reality simulators for training programs in the areas of security and defense: a systematic review. Multimedia Tools and Applications, 1-21.
https://doi.org/10.1007/s11042-019-08141-8

Marcano, L., Haugen, F. A., Sannerud, R., & Komulainen, T. (2019). Review of simulator training practices for industrial operators: How can individual simulator training be enabled?. Safety science, 115, 414-424.
https://doi.org/10.1016/j.ssci.2019.02.019

Escobar-Castillejos, D., Noguez, J., Neri, L., Magana, A., & Benes, B. (2016). A review of simulators with haptic devices for medical training. Journal of medical systems, 40(4), 104.
https://doi.org/10.1007/s10916-016-0459-8

Gorecky, D., Khamis, M., & Mura, K. (2017). Introduction and establishment of virtual training in the factory of the future. International Journal of Computer Integrated Manufacturing, 30(1), 182-190.
https://doi.org/10.1080/0951192x.2015.1067918

Vaughan, N., Gabrys, B., & Dubey, V. N. (2016). An overview of self-adaptive technologies within virtual reality training. Computer Science Review, 22, 65-87.
https://doi.org/10.1016/j.cosrev.2016.09.001

Vaughan, N., Dubey, V. N., Wainwright, T. W., & Middleton, R. G. (2016). A review of virtual reality based training simulators for orthopaedic surgery. Medical Engineering and Physics, 38(2), 59-71.
https://doi.org/10.1016/j.medengphy.2015.11.021

Shin, Y., Meneely, A., Williams, L., & Osborne, J. A. (2011). Evaluating complexity, code churn, and developer activity metrics as indicators of software vulnerabilities. IEEE Transactions on Software Engineering, 37(6), 772-787.
https://doi.org/10.1109/tse.2010.81

Sehra, S. K., Brar, Y. S., Kaur, N., & Sehra, S. S. (2017). Research patterns and trends in software effort estimation. Information and Software Technology, 91, 1-21.
https://doi.org/10.1016/j.infsof.2017.06.002

White, R. W., & Hassan Awadallah, A. (2019, January). Task duration estimation. In Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining (pp. 636-644). ACM.
https://doi.org/10.1145/3289600.3290997

Htay, K., Aung, M. M., Cho, Y. Y., & Thein, M. M. (2019). Software Engineering Cost Estimation using COCOMO II Model.

Zhou, Y., Zhang, H., Huang, X., Yang, S., Babar, M. A., & Tang, H. (2015, April). Quality assessment of systematic reviews in software engineering: A tertiary study. In Proceedings of the 19th international conference on evaluation and assessment in software engineering (p. 14). ACM.
https://doi.org/10.1145/2745802.2745815

Dyakonov G.S., etc (2009). Preparation of the engineer in real-virtual environment of advanced training, Kazan: KSTU.

Alekseev, S., Methodology of Software Systems Simulation Development for Virtual/Augmented Reality Systems, (2018) International Review on Modelling and Simulations (IREMOS), 11 (4), pp. 252-258.
https://doi.org/10.15866/iremos.v11i4.15604

Orta-Castañon, P., Urbina-Coronado, P., Ahuett-Garza, H., Hernández-de-Menéndez, M., & Morales-Menendez, R. (2018). Social collaboration software for virtual teams: case studies. International Journal on Interactive Design and Manufacturing (IJIDeM), 12(1), 15-24.
https://doi.org/10.1007/s12008-017-0372-5

Dedov, D., Krasnyanskiy, M., Obukhov, A., & Arkhipov, A. (2017). Design and Development of Adaptive Simulators Using 3D Modeling. International Journal of Applied Engineering Research, 12(20), 10415-10422

Day, B., Ebrahimi, E., Hartman, L. S., Pagano, C. C., Robb, A. C., & Babu, S. V. (2019). Examining the effects of altered avatars on perception-action in virtual reality. Journal of Experimental Psychology: Applied, 25(1), 1.
https://doi.org/10.1037/xap0000192

Falola, H. O., Osibanjo, A. O., & Ojo, S. I. (2014). Effectiveness of training and development on employees' performance and organisation competitiveness in the Nigerian banking industry. Bulletin of the Transilvania University of Brasov. Economic Sciences. Series V, 7(1), 161.

Pons, D., Hilera, J. R., Fernández, L., & Pagés, C. (2016). A Learning Quality Metadata approach: Automatic quality assessment of virtual training from metadata. Computer Standards & Interfaces, 45, 45-61.
https://doi.org/10.1016/j.csi.2015.12.001

Krasnyanskiy, M., Ostroukh, A., Karpushkin, S., & Obukhov, A. (2016). Formulation of the Problem of Structural and Parametric Synthesis of Electronic Document Management System of Research and Education Institution. Global Journal of Pure and Applied Mathematics, 12(3), 2395-2409.
https://doi.org/10.3923/jas.2016.332.337

Liu, P., Jiang, G., Liu, Y., & An, M. (2016, September). The Utility Evaluation of the Astronaut Virtual Training System in Layout Familiarization Training. In 2016 6th International Conference on IT Convergence and Security (ICITCS), (pp. 1-4). IEEE.
https://doi.org/10.1109/icitcs.2016.7740376

Hoedt, S., Claeys, A., Van Landeghem, H., & Cottyn, J. (2017). The evaluation of an elementary virtual training system for manual assembly. International Journal of Production Research, Vol. 55, issue 24, 2017, pp. 7496-7508.
https://doi.org/10.1080/00207543.2017.1374572

Krasnyanskiy, M., Obukhov, A., Dedov, D., & Siukhin, A. (2018). Modeling of the learning process in adaptive training complexes. Journal of Applied Engineering Science, 16(4), 487-493.
https://doi.org/10.5937/jaes16-17627

Karpov, S., Glebov, A., Dedov, D., Krasnyanskiy, M., & Alexeev, S. (2017). Development and validation of a new construction of imitator of mine insulating self-rescuer. in International Multidisciplinary Scientific GeoConference Surveying Geology and Mining Ecology Management, SGEM, 231-239.
https://doi.org/10.5593/sgem2017/13/s03.030


Refbacks

  • There are currently no refbacks.


Please send any question about this web site to info@praiseworthyprize.com
Copyright © 2005-2024 Praise Worthy Prize