Standard

Effectiveness of the learning tool based on the learning curve analysis. / Ponomarenko, M.; Peshkov, D.; Vishnyakova, A. et al.
In: AIP Conference Proceedings, Vol. 2812, No. 1, 020060, 2023.

Research output: Contribution to journal › Conference article › peer-review

Harvard

Ponomarenko, M, Peshkov, D, Vishnyakova, A, Papulovskaya, N & Dubinin, N 2023, 'Effectiveness of the learning tool based on the learning curve analysis', AIP Conference Proceedings, vol. 2812, no. 1, 020060. https://doi.org/10.1063/5.0161994

APA

Ponomarenko, M., Peshkov, D., Vishnyakova, A., Papulovskaya, N., & Dubinin, N. (2023). Effectiveness of the learning tool based on the learning curve analysis. AIP Conference Proceedings, 2812(1), [020060]. https://doi.org/10.1063/5.0161994

Vancouver

Ponomarenko M, Peshkov D, Vishnyakova A, Papulovskaya N, Dubinin N. Effectiveness of the learning tool based on the learning curve analysis. AIP Conference Proceedings. 2023;2812(1):020060. doi: 10.1063/5.0161994

Author

Ponomarenko, M. ; Peshkov, D. ; Vishnyakova, A. et al. / Effectiveness of the learning tool based on the learning curve analysis. In: AIP Conference Proceedings. 2023 ; Vol. 2812, No. 1.

BibTeX

@article{3f7ec1a64d3143fe89a3176094051067,
title = "Effectiveness of the learning tool based on the learning curve analysis",
abstract = "The purpose of our research is to show (by example of learning curve analysis) possibility of managing the educational process. The article presents experimental results of the construction and quantitative analysis of the learning curve by example of the elementary mathematical skill development. The experiment involved, 11th-grade students at the comprehensive school of the Russian Federation. The results obtained were divided into three groups, for each of which the learning curves were plotted. The paper outlines several dependencies on construction of learning curve approximation. Comparison of the results of the experimental learning curve approximation by various functions may lead to the conclusion that not all of them are satisfactory. The current findings showed that each student has a clearly traceable unique learning curve. It indicates the need for individual trajectory development for teaching every single student to improve the skills acquisition quality.",
author = "M. Ponomarenko and D. Peshkov and A. Vishnyakova and N. Papulovskaya and N. Dubinin",
year = "2023",
doi = "10.1063/5.0161994",
language = "English",
volume = "2812",
journal = "AIP Conference Proceedings",
issn = "0094-243X",
publisher = "American Institute of Physics Publising LLC",
number = "1",

}

RIS

TY - JOUR

T1 - Effectiveness of the learning tool based on the learning curve analysis

AU - Ponomarenko, M.

AU - Peshkov, D.

AU - Vishnyakova, A.

AU - Papulovskaya, N.

AU - Dubinin, N.

PY - 2023

Y1 - 2023

N2 - The purpose of our research is to show (by example of learning curve analysis) possibility of managing the educational process. The article presents experimental results of the construction and quantitative analysis of the learning curve by example of the elementary mathematical skill development. The experiment involved, 11th-grade students at the comprehensive school of the Russian Federation. The results obtained were divided into three groups, for each of which the learning curves were plotted. The paper outlines several dependencies on construction of learning curve approximation. Comparison of the results of the experimental learning curve approximation by various functions may lead to the conclusion that not all of them are satisfactory. The current findings showed that each student has a clearly traceable unique learning curve. It indicates the need for individual trajectory development for teaching every single student to improve the skills acquisition quality.

AB - The purpose of our research is to show (by example of learning curve analysis) possibility of managing the educational process. The article presents experimental results of the construction and quantitative analysis of the learning curve by example of the elementary mathematical skill development. The experiment involved, 11th-grade students at the comprehensive school of the Russian Federation. The results obtained were divided into three groups, for each of which the learning curves were plotted. The paper outlines several dependencies on construction of learning curve approximation. Comparison of the results of the experimental learning curve approximation by various functions may lead to the conclusion that not all of them are satisfactory. The current findings showed that each student has a clearly traceable unique learning curve. It indicates the need for individual trajectory development for teaching every single student to improve the skills acquisition quality.

UR - http://www.scopus.com/inward/record.url?partnerID=8YFLogxK&scp=85176731810

U2 - 10.1063/5.0161994

DO - 10.1063/5.0161994

M3 - Conference article

VL - 2812

JO - AIP Conference Proceedings

JF - AIP Conference Proceedings

SN - 0094-243X

IS - 1

M1 - 020060

ER -

ID: 48513876