Использование виртуальных лабораторий в обучении математике (на примере Самарканда)

H. Ikromov; Toshmatov Valijon; J. Kamolov

doi:10.52053/mt.2020.3.6.1

Article · 2020

Использование виртуальных лабораторий в обучении математике (на примере Самарканда)

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20.2002/mt/2020/i6/24321027Russian

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Authors

H. Ikromovno linked profile
Бухоро давлат университети
Toshmatov Valijonno linked profile
Бухарский государственный университет
J. Kamolov ORCID 0000-0002-0017-273X (opens in a new tab)
BuxDU

Abstract

В статье рассматриваются вопросы темы «Использование виртуальных лабораторий в обучении математике (на примере Самарканда)». Проведён анализ отечественного и зарубежного опыта. Предложены практические рекомендации.

Keywords

Bibliographic details

DRI: 20.2002/mt/2020/i6/24321027
Work type: Article
Journal: Muallim va ta'limISSN 2181-1075
Volume and issue: No. 6
Pages: 1–5
Published: 24 December 2020
Language: Russian
External DOI: 10.52053/mt.2020.3.6.1 (opens in a new tab)
Full text: Open on the publisher's page (opens in a new tab)
Passport mirror: synced 21/09/2026, 16:48, version 2

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References

Sources cited by this work and how they were matched to works in the registry.

10 entries3 matched0 under review7 external

1.
Nguyen T., Schmidt P., Novak P. (2007). A meta-analysis of active learning in STEM education: evidence from panel data. Applied Linguistics, 57, 151–954. https://doi.org/10.1093/applin.2007.185145
External source
2.
Rossi F. (2019). Renewable energy transition in Central Asia revisited. Energy Policy, 54, 204–967.
External source
3.
G'afurov Sh.I., Komilov I.F. Методика формирования профессиональной компетентности у студентов педагогических вузов // Nizomiy nomidagi TDPU ilmiy axborotlari. – 2012. – №9. – B. 14–23. DRI: 20.1001/tdpuia/2012/v2_i9/96997462
MatchedExact by DRI
4.
Zaripov A.Z. Alkaloidlarning termik barqarorlikga pH muhit ta'siri // Texnika yulduzlari. – 2020. – №1. – B. 1–4.
MatchedFuzzy match, S = 1.00
5.
Tanaka H., Smith J. (2013). Soil salinity mapping using remote sensing data. World Development, 59, 159–917. https://doi.org/10.1016/j.worlddev.2013.754785
External source
6.
Oripova, K. A. (2018). Akademik litsey o'quvchilarida mustaqil ta'lim ko'nikmalari rivojlantirishning samarali usullari. Toshkent. – DRI 20.1001/diss/d2018/11043008
MatchedExact by DRI
7.
Johnson M. (2007). Machine learning methods for credit scoring in developing countries. Journal of Chemical Education, 75, 821–973. DOI: 10.1021/acs.jchemed.2007.323558
External source
8.
Nguyen T., Johnson M., Garcia L. (2000). Soil salinity mapping using remote sensing data revisited. Sustainability, 61, 892–966.
External source
9.
Samuelson P., Nordhaus W. Economics. 19th ed. – New York: McGraw-Hill, 2010. – 744 p.
External source
10.
Garcia L. Raqamli texnologiyalar vositasida maktabgacha yoshdagi bolalar o'quvchilarining mustaqil ta'lim ko'nikmalari oshirish // Xalq ta'limi. – 2020. – №2. – B. 36–101.
External source

Citing works

Works in the registry that cite this work, newest first.

Authors: , Ibragimov Qodir Baxtiyor o'g'li, N. RustamovaFarDU ilmiy xabarlar
DRI20.1007/85120010 Open on nationaldri.uzArticle6views0downloads
Year2026
Citations1
Authors: Холиқова Сабина Зафар қизи, , Po'latov HusanO'zbekiston kimyo jurnali
DRI20.2001/ukj/2024/v7_i5/49392821 Open on nationaldri.uzArticle4views0downloads

[1] 1.
Nguyen T., Schmidt P., Novak P. (2007). A meta-analysis of active learning in STEM education: evidence from panel data. Applied Linguistics, 57, 151–954. https://doi.org/10.1093/applin.2007.185145
External source

[2] 2.
Rossi F. (2019). Renewable energy transition in Central Asia revisited. Energy Policy, 54, 204–967.
External source

[3] 3.
G'afurov Sh.I., Komilov I.F. Методика формирования профессиональной компетентности у студентов педагогических вузов // Nizomiy nomidagi TDPU ilmiy axborotlari. – 2012. – №9. – B. 14–23. DRI: 20.1001/tdpuia/2012/v2_i9/96997462
MatchedExact by DRI

[4] 4.
Zaripov A.Z. Alkaloidlarning termik barqarorlikga pH muhit ta'siri // Texnika yulduzlari. – 2020. – №1. – B. 1–4.
MatchedFuzzy match, S = 1.00

[5] 5.
Tanaka H., Smith J. (2013). Soil salinity mapping using remote sensing data. World Development, 59, 159–917. https://doi.org/10.1016/j.worlddev.2013.754785
External source

[6] 6.
Oripova, K. A. (2018). Akademik litsey o'quvchilarida mustaqil ta'lim ko'nikmalari rivojlantirishning samarali usullari. Toshkent. – DRI 20.1001/diss/d2018/11043008
MatchedExact by DRI

[7] 7.
Johnson M. (2007). Machine learning methods for credit scoring in developing countries. Journal of Chemical Education, 75, 821–973. DOI: 10.1021/acs.jchemed.2007.323558
External source

[8] 8.
Nguyen T., Johnson M., Garcia L. (2000). Soil salinity mapping using remote sensing data revisited. Sustainability, 61, 892–966.
External source

[9] 9.
Samuelson P., Nordhaus W. Economics. 19th ed. – New York: McGraw-Hill, 2010. – 744 p.
External source

[10] 10.
Garcia L. Raqamli texnologiyalar vositasida maktabgacha yoshdagi bolalar o'quvchilarining mustaqil ta'lim ko'nikmalari oshirish // Xalq ta'limi. – 2020. – №2. – B. 36–101.
External source