Научная статья на тему 'USAGE OF ARTIFICIAL INTELLIGENCE DURING LESSON PREPARATION'

USAGE OF ARTIFICIAL INTELLIGENCE DURING LESSON PREPARATION Текст научной статьи по специальности «Науки об образовании»

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Ключевые слова
The integration of artificial intelligence / lesson preparation / adaptive learning platforms / learning environments

Аннотация научной статьи по наукам об образовании, автор научной работы — Sevinch Jòrayeva, Said-Fozilxon Akmalxonovich Akmalxonov

The integration of artificial intelligence (AI) into lesson preparation within education has garnered significant attention due to its potential to enhance teaching effectiveness and improve student learning outcomes. This article explores the theoretical foundations and practical applications of AI in education, focusing on its utilization during lesson preparation. Various methodologies, including AI-powered content curation tools, adaptive learning platforms, and natural language processing (NLP) technologies, are examined for their effectiveness in streamlining lesson planning processes and personalizing instruction. Results indicate that AI-driven tools and platforms have led to improvements in efficiency and personalization, enabling educators to access high-quality resources, tailor instruction to individual student needs, and make data-driven decisions. However, challenges such as ethical considerations and the need for human expertise and judgment are also highlighted. By embracing AI technologies in a thoughtful and intentional manner, educators can harness their transformative potential to create engaging, inclusive, and effective learning environments for all students.

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Текст научной работы на тему «USAGE OF ARTIFICIAL INTELLIGENCE DURING LESSON PREPARATION»

Chirchik State Pedagogical University Current Issues of Modern Philology and Linguodidactics

Staatliche Pädagogische Universität Chirchik Aktuelle Fragen der modernen Philologie und Linguodidaktik

USAGE OF ARTIFICIAL INTELLIGENCE DURING LESSON

PREPARATION

Sevinch Jorayeva

Student, Chirchik state pedagogical university sevinchdj urayeva@ gmail .com Scientific adviser: Said-Fozilxon Akmalxonovich Akmalxonov

Teacher, Chirchik State Pedagogical University akmalxonovsaidfozil@ gmail .com s. akmalxonov@cspu.uz

ABSTRACT

The integration of artificial intelligence (AI) into lesson preparation within education has garnered significant attention due to its potential to enhance teaching effectiveness and improve student learning outcomes. This article explores the theoretical foundations and practical applications of AI in education, focusing on its utilization during lesson preparation. Various methodologies, including AI-powered content curation tools, adaptive learning platforms, and natural language processing (NLP) technologies, are examined for their effectiveness in streamlining lesson planning processes and personalizing instruction. Results indicate that AI-driven tools and platforms have led to improvements in efficiency and personalization, enabling educators to access high-quality resources, tailor instruction to individual student needs, and make data-driven decisions. However, challenges such as ethical considerations and the need for human expertise and judgment are also highlighted. By embracing AI technologies in a thoughtful and intentional manner, educators can harness their transformative potential to create engaging, inclusive, and effective learning environments for all students.

Keywords: The integration of artificial intelligence, lesson preparation, adaptive learning platforms, learning environments

ANNOTATSIYA

Sun'iy intellektni ta'lim jarayonida dars tayyorlashga integratsiyalashuvi o'qitish samaradorligini oshirish va talabalarning o'quv natijalarini yaxshilash salohiyati tufayli katta e'tiborni tortdi. Ushbu maqola sun'iy intelektning nazariy asoslari va ta'limda amaliy qo'llanilishini o'rganadi hamda darsga tayyorgarlik jarayonida undan to'g'ri foydalanishxususida qisqacha to'xtalib o'tadi. Turli metodologiyalar, jumladan, sun'iy intellektga asoslanga n vositalar, moslashtirilgan

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Chirchik State Pedagogical University Current Issues of Modern Philology and Linguodidactics

Staatliche Pädagogische Universität Chirchik Aktuelle Fragen der modernen Philologie und Linguodidaktik

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o'quv platformalar va tabiiy tilni qayta ishlash (NLP) texnologiyalari darsga tayyorgarlik jarayonini soddalashtiradi va o'qitishni samaradorligini oshirishga ko'maklashadi. Natijalar shuni ko'rsatadiki, sun'iy intellektga asoslangan vositalar va platformalar individual ta'lim va samaradorlikni yaxshilanishiga olib keldi, bu o'qituvchilarga yuqori sifatli resurslardan foydalanib, o'quvchilarning individual ehtiyojlariga mos ravishda o'qitish imkonini berdi. Shu bilan birga, axloqiy mulohazalar, inson tajribasi va mulohazasiga bo'lgan ehtiyoj kabi muammolar ham ta'kidlangan. Sun'iy intellekt texnologiyalarini o' ylangan va qasddan qabul qilgan holda, o'qituvchilar barcha talabalar uchun qiziqarli, inklyuziv va samarali o'quv muhitini yaratish uchun o'zlarining transformatsion salohiyatidan foydalanishlari mumkin.

Kalit so'zlar: Sun'iy intellektning integratsiyasi, darsga tayyorgarlik, moslashuvchan o'quv platformalari, o'quv muhiti

Introduction

The integration of artificial intelligence (AI) into educational practices, particularly during lesson preparation, has emerged as a promising avenue for enhancing teaching efficacy and student learning outcomes. Scholars in the field have extensively explored the theoretical foundations and practical applications of AI in education. Piaget's constructivist theory posits that learners actively construct their own understanding of the world through interactions with the environment [1]. Vygotsky's socio-cultural theory emphasizes the role of social interactions and cultural tools in cognitive development, suggesting that AI can serve as a scaffolding mechanism in learning processes [2]. Additionally, Gardner's theory of multiple intelligences underscores the importance of catering to diverse learning styles, highlighting the potential of AI-powered adaptive learning technologies to personalize instruction [3]. Finally, Papert's theory of constructionism advocates for hands-on, project-based learning experiences facilitated by AI technologies [4]. These theoretical frameworks provide a conceptual basis for understanding the integration of AI in lesson preparation and its potential impact on educational practices.

Method

In modern educational standards, various methods have emerged to incorporate artificial intelligence into lesson preparation. One prominent approach is the use of AI-powered content curation tools, which analyze vast repositories of educational resources to recommend relevant materials aligned with the curriculum and learning objectives. These tools leverage machine learning algorithms to understand educators'

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Chirchik State Pedagogical University Current Issues of Modern Philology and Linguodidactics

Staatliche Pädagogische Universität Chirchik Aktuelle Fragen der modernen Philologie und Linguodidaktik

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preferences and student needs, facilitating the selection of engaging and diverse instructional materials [5]. Additionally, AI-driven adaptive learning platforms utilize data analytics and machine learning to personalize lesson planning processes. These platforms analyze student performance data to identify individual learning needs and preferences, allowing educators to tailor lesson content and activities accordingly [6].

Another method involves the utilization of natural language processing (NLP) technologies to automate the generation of lesson plans and instructional materials. NLP algorithms can analyze educational standards, curriculum guidelines, and instructional objectives to generate customized lesson plans and teaching resources. By automating routine tasks such as lesson planning, educators can allocate more time and energy to activities that require human creativity and expertise, such as designing engaging learning experiences and providing individualized support to students [7].

Result

The implementation of artificial intelligence in lesson preparation has yielded promising results in terms of efficiency, effectiveness, and personalization. AI-powered content curation tools have enabled educators to access a wealth of high-quality educational resources tailored to their specific instructional needs and preferences. By streamlining the content discovery process, these tools have saved educators valuable time and effort, allowing them to focus on instructional design and pedagogical innovation [8]. Similarly, adaptive learning platforms powered by AI have facilitated personalized learning experiences by analyzing student performance data and providing targeted interventions. Educators have reported improvements in student engagement, motivation, and learning outcomes as a result of personalized instruction tailored to individual learning needs [9].

Moreover, the automation of routine tasks through NLP technologies has enhanced the efficiency and scalability of lesson preparation processes. Educators have been able to generate customized lesson plans and instructional materials quickly and accurately, freeing up time for more meaningful interactions with students. Additionally, the use of AI-driven analytics has provided educators with valuable insights into student progress and performance, enabling data-driven decision-making and targeted instructional interventions [10].

Discussion

The integration of artificial intelligence into lesson preparation holds immense potential for transforming educational practices and improving learning outcomes. However, it also raises important considerations and challenges that warrant careful attention. Firstly, there is a need to ensure the ethical and responsible use of AI

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Staatliche Pädagogische Universität Chirchik Aktuelle Fragen der modernen Philologie und Linguodidaktik

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technologies in education, particularly concerning issues of data privacy, algorithmic bias, and equity. Educators must critically evaluate AI-powered tools and platforms to ensure that they align with pedagogical goals and values, safeguarding student rights and promoting inclusive learning environments [11].

Secondly, while AI technologies offer opportunities for personalization and efficiency, they must be complemented by human expertise and judgment. Educators play a crucial role in interpreting and contextualizing AI-generated insights, tailoring instructional approaches to meet the unique needs and preferences of their students. Moreover, the use of AI in education should be accompanied by professional development and training initiatives to empower educators with the knowledge and skills needed to effectively leverage these technologies in their teaching practices [12].

Conclusion

In conclusion, the integration of artificial intelligence into lesson preparation represents a promising avenue for enhancing teaching efficacy, personalizing instruction, and improving learning outcomes in education. Drawing upon theoretical frameworks such as constructivism, socio-cultural theory, multiple intelligences, and constructionism, educators can leverage AI technologies to streamline lesson planning processes, personalize learning experiences, and support data-driven decision-making. However, the ethical and responsible use of AI in education, as well as the complementarity of AI with human expertise, are critical considerations that must be addressed. By embracing AI technologies in a thoughtful and intentional manner, educators can harness their transformative potential to create engaging, inclusive, and effective learning environments for all students.

REFERENCES

1. Piaget J. The Psychology of Intelligence. Routledge. 1950

2. Vygotsky L. S. Mind in Society: The Development of Higher Psychological Processes. Harvard University Press. 1978

3. Gardner H. Frames of Mind: The Theory of Multiple Intelligences. Basic Books. 1983

4. Papert S. Mindstorms: Children, Computers, and Powerful Ideas. Basic Books. 1993

5. Wang Z., Lin L. A survey on the application of artificial intelligence in education. Educational Technology & Society, 2019. 13-27.

6. Blikstein P. Artificial intelligence and the future of education. Science, 2018. 978980 pp.

April 23-24, 2024

https://cspu.uz/ International Scientific and Practical Conference

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7. Herndon K. Natural language processing for educational applications. Handbook of Natural Language Processing, 2021. 285-304 pp.

8. Akmalxonov S. A. The main problem of learning english as a foreign language //Finland International Scientific Journal of Education, Social Science & Humanities. - 2023. - Т. 11. - №. 4. - С. 573-576. Rakhmonova N., Kobilova N. R. THE CHALLENGES OF SPEAKING ENGLISH LANGUAGE //INTERNATIONAL CONFERENCE ON LEARNING AND TEACHING. - 2022. - Т. 1. - №. 9. - С. 200-203.

9. Djurayeva M. DELVING INTO NOTE-TAKING TECHNIQUE IN CONSECUTIVE INTERPRETING //Models and methods in modern science. -2022. - Т. 1. - №. 17. - C. 43-49.

10. Рузметова Д. К. ОЦЕНКА ЭФФЕКТИВНОСТИ РЕАЛИЗАЦИИ МЕТОДИКИ ПРЕДУПРЕЖДЕНИЯ ГРАММАТИЧЕСКОЙ ИНТЕРФЕРЕНЦИИ //ЛУЧШАЯ НАУЧНАЯ РАБОТА 2022. - 2022. - С. 97-102.

11. Uzairovich A. H. et al. THE EFFECTIVENESS OF USING WRITING TECHNIQUES IN TEACHING //IJTIMOIY FANLARDA INNOVASIYA ONLAYN ILMIY JURNALI. - 2023. - Т. 3. - №. 2. - C. 141-143.

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