International experience and prospects of using artificial intelligence in education
How to cite
Abstract
The article examines the international experience of using artificial intelligence (AI) in education. It is shown that technologies can be used to increase the involvement of students in the educational process, assess learning progress, create individual learning trajectories and personalize learning taking into account individual preferences, characteristics and targets. Despite the noted advantages of using AI, there are also limitations of its use, which should be taken into account when developing and implementing AI technology in the education system
Keywords
References
Замятин А.В. Интеллектуальный анализ данных: учебное пособие. Томск: ТГУ, 2020. С. 196.
Национальный стандарт РФ ГОСТ Р 59277-2020 «Системы искусственного интеллекта. Классификация систем искусственного интеллекта». М.: Стандартинформ, 2021.
Система «Антиплагиат». URL: https://antiplagiat.ru
Свердлов М.Б. и др. Образовательная аналитика: управление образовательной организацией и создание контента на основе данных. Под научн. ред. М.Б. Свердлова. М.: НИУ ВШЭ, 2021.
ЮНЕСКО. Руководство по использованию генеративного искусственного интеллекта в образовании и научных исследованиях, 2024. URL: https://unesdoc.unesco.org/ark:/48223/pf0000389639
Ali F., et al. Supporting self-directed learning and self-assessment using TeacherGAIA, a generative AI chatbot application: Learning approaches and prompt engineering // Learning: research and practice. 2023. Vol. 9. № 2. pp. 135-147.
Alqahtani T., et al. The emergent role of artificial intelligence, natural learning processing, and large language models in higher education and research // Research in social and administrative pharmacy. 2023. Vol. 19. № 8. pp. 1236-1242.
Anil A., et al. Are paid tools worth the cost? A prospective cross-over study to find the right tool for plagiarism detection // Heliyon. 2023. Vol. 9. № 9, e19194.
Ashwin T.S., et al. A systematic review of intelligent tutoring systems based on Gross body movement detected using computer vision // Computers and education: Artificial intelligence. 2023. 4, 100125.
Bahroun Z., et al. Transforming education: A Comprehensive review of generative artificial intelligence in educational settings through bibliometric and content analysis // Sustainability. 2023. Vol. 15, 12983.
ChatPDF. URL: https://chatpdf.ai
de Souza Zanirato Maia J., et al. Applications of artificial intelligence models in educational analytics and decision making: A systematic review // World. 2023. Vol. 4. № 2. pp. 288-313.
Felix J., Webb L. Use of artificial intelligence in education delivery and assessment. 2024. UK Parliament POST, POSTnote, 712.
Jäger C., Tewes S. AI in continuing education of the future. In: I. Knappertsbusch, K. Gondlach (eds). Work and AI 2030. Wiesbaden: Springer, 2023. pp. 361-371.
Jasin J., et al. The implementation of chatbot-mediated immediacy for synchronous communication in an online chemistry course // Education and information technologies. 2023. Vol. 28. pp. 10665-10690.
Khosravi H., et al. Learnersourcing in the age of AI: Student, educator and machine partnerships for content creation // Computers and education: Artificial intelligence. 2023. Vol. 5, 100151.
Khurana D., et al. Natural language processing: State of the art, current trends and challenges // Multimedia tools and applications. 2023. Vol. 82. № 3. pp. 3713-3744.
Lee A.V.Y., et al. AI in education and learning analytics in Singapore: An overview of key projects and initiatives // Information and technology in education and learning. 2023. Vol. 3. № 1, Inv-p001.
Lin C.C., et al. Artificial intelligence in intelligent tutoring systems toward sustainable education: A systematic review // Smart learning environments. 2023. Vol. 10. № 41. pp. 1-22.
Mao J., et al. Generative artificial intelligence in education and its implications for assessment // TechTrends. 2024. Vol. 68. pp. 58-66.
Mokmin N.A.M., Ibrahim N.A. The evaluation of chatbot as a tool for health literacy education among undergraduate students // Education and information technologies. 2021. Vol. 26. № 5. pp. 6033-6049.
Nuangchalerm P., Prachagool V. AI-driven learning analytics in STEM education // International Journal of Research in STEM education (IJRSE). 2023. Vol. 5. № 2. pp. 77-84.
Owan V.J., et al. Exploring the potential of artificial intelligence tools in educational measurement and assessment // Eurasia journal of mathematics, science and technology education. 2023. Vol. 19. № 8, em2307.
Portugal D., et al. Continuous user identification in distance learning: A recent technology perspective // Smart learning environments. 2023. Vol. 10. № 38. pp. 1-34.
Renz A. AI in education: Educational technology and AI. In: I. Knappertsbusch, K. Gondlach (eds). Work and AI 2030. Wiesbaden: Springer, 2023. pp. 353-360.
Sajja R., et al. Platform-independent and curriculum-oriented intelligent assistant for higher education // International journal of educational technology in higher education. 2023. Vol. 20. № 42. pp. 1-24.
Wu H., et al. Natural language processing in educational research: The evolution of research topics // Education and Information Technologies. 2024.
Wu M., et al. AI in medical education: The moderating role of the chilling effect and STARA awareness // BMC Medical Education. 2024. Vol. 24. № 644. pp. 1-16.
Downloads
Published
Issue
Section
Metrics
License
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.