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РецензированоUZ2025

BIOLOGIYA FANINI O‘QITISHDA TALABALAR O‘ZLASHTIRISH DARAJASINI SUN’IY INTELLEKT VOSITALARI ASOSIDA BAHOLASH (GENETIKA MISOLIDA)

BAHOLASH (GENETIKA MISOLIDA) · G‘oyibnazarova Asal Baxtiyorovna · ORCID ID: --- (Urganch davlat pedagogika instituti “Maktabgacha ta’lim) · ORCID ID: --- (института) · ORCID ID: --- (Education and Natural Sciences, Urgench State Pedagogical Institute)

Журнал инноваций нового века · 2025

Аннотация

This article examines the application of artificial intelligence (AI) technologies in teaching the genetics section of biology and the possibilities of automating the process of assessing students' knowledge. The study analyzes the development of adaptive testing systems based on AI and their results compared with traditional assessment methods. It is argued that AI tools are effective in determining the level of individual students' mastery of complex concepts of genetics, optimizing the educational process and improving the quality of teaching. This article presents a comprehensive analysis of the theoretical foundations, methodology, results obtained and foreign experience of this approach. The article also pays special attention to the socio-economic significance of teaching biology through innovative technologies. Reforms aimed at improving the quality of education in the state policy of the Republic of Uzbekistan, in particular, measures within the framework of the Action Strategy, the "Uzbekistan-2030" strategy, and relevant decrees and resolutions of the President, determine the relevance of this article. Keywords: artificial intelligence, genetics, student assessment, educational technologies, adaptive learning system. Аннотация В данной статье рассматривается применение технологий искусственного интеллекта (ИИ) в преподавании генетики в биологии и возможности автоматизации процесса оценки знаний студентов. В исследовании разработаны адаптивные тестовые системы на основе ИИ и проведен анализ их результатов в сравнении с традиционными методами оценки. Доказано, что инструменты ИИ эффективны для определения индивидуального уровня усвоения студентами сложных генетических концепций, оптимизации образовательного процесса и повышения качества обучения. В статье представлен комплексный анализ данного подхода с учетом его теоретических основ, методологии, полученных результатов и зарубежного опыта. В статье также уделяется особое внимание социально-экономическому значению преподавания биологии с использованием инновационных технологий. Реформы, направленные на повышение качества образования в государственной политике Республики Узбекистан, в частности, меры в рамках Стратегии действий, стратегии «Узбекистан-2030», соответствующих указов и https://scientific-jl.com/new 11 55 66 Volume–78_Issue-2_June-2025 JOURNAL OF NEW CENTURY INNOVATIONS постановлений Президента, определяют актуальность этой статьи. Ключевые слова: искусственный интеллект, генетика, оценка знаний студентов, образовательные технологии, адаптивная система обучения. Introduction. In today's era of globalization, the education system faces various problems and new opportunities. The Decree of the President of the Republic of Uzbekistan dated February 7, 2017 No. UP-4947 "On the Action Strategy for five priority areas of development of the Republic of Uzbekistan in 2017-2021" and the Resolution of the President of the Republic of Uzbekistan dated April 29, 2019 No. PP-4319 "On measures for the further development of education and science in the Republic of Uzbekistan" defined important directions for the widespread introduction of innovative technologies in the field of education [Decree of the President of the Republic of Uzbekistan dated February 7, 2017 No. UP-4947. "Action Strategy on Five Priority Areas of Development of the Republic of Uzbekistan in 2017-2021," Resolution of the President of the Republic of Uzbekistan No. PP-4319 dated April 29, 2019. "On Measures for the Further Development of Education and Science in the Republic of Uzbekistan." Also, in the Decree of the President of the Republic of Uzbekistan dated May 11, 2022 No. PP-229 "On Measures to Further Accelerate the Digitalization of the Education System," great attention is paid to the development of modern educational technologies [Decree of the President of the Republic of Uzbekistan dated May 11, 2022 No. PP-229]. "On Measures for Further Accelerating the Digitalization of the Education System"]. The role of technologies in the modern educational process is increasing, in particular, artificial intelligence takes pedagogical activity to a new level. Genetics is one of the main and complex branches of biology, requiring a deep understanding by students. Interactive technologies play an important role in the effective assimilation of topics such as DNA replication, gene expression, mutations, and hereditary diseases. In particular, AI-driven adaptive learning platforms (AI-controlled adaptive learning platforms) are widely used in genetics education in the USA, Japan, and European countries. For example, Harvard University and Stanford University are using artificial intelligence to automate genetic testing and implement adaptive assessment systems. Also, in studies conducted by MIT (Massachusetts Institute of Technology), it was noted that the results of assessing genetic knowledge using artificial intelligence are more accurate than traditional methods. The European Un

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«This article examines the application of artificial intelligence (AI) technologies in teaching the genetics section of biology and the possibilities of automating the process of assessing students' knowledge.»

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This article examines the application of artificial intelligence (AI) technologies in teaching the genetics section of biology and the possibilities of automating the process of assessing students' knowledge. Полный текст публикации CiteX не хранит — доступ к первоисточнику открывается по DOI согласно лицензии издателя и выбранному плану.

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Узбекистан
Ключевые слова
artificial intelligence, genetics, student assessment, educational, Kalit so‘zlar: sun’iy intellekt, talabalar bilimini baholash, adaptiv ta’lim tizimi., genetika, ta’lim texnologiyalari
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