The role of artificial intelligence in organizing students' Independent work
Автор: Kadenova Zh.
Журнал: Бюллетень науки и практики @bulletennauki
Рубрика: Социальные и гуманитарные науки
Статья в выпуске: 2 т.11, 2025 года.
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Artificial intelligence (AI) plays an increasingly important role in the transformation of educational processes. This article investigates the impact of AI technologies on the organization of students' independent work. Key benefits of AI applications, such as individualizing learning trajectories, providing quality feedback, and increasing the availability of educational resources, are discussed. The existing limitations are analyzed, including the risks of data loss and the need to train the participants of the process to work with new technologies. On the basis of the analysis, the prospects for further implementation of AI in the educational environment are identified. The work can be useful for researchers, teachers and developers of educational technologies.
Artificial intelligence, independent work, education, technology, personalization, educational analytics, feedback, adaptive learning
Короткий адрес: https://sciup.org/14131830
IDR: 14131830 | DOI: 10.33619/2414-2948/111/57
Список литературы The role of artificial intelligence in organizing students' Independent work
- Baker R., Siemens G. Educational data mining and learning analytics: Potentials and possibilities // Journal of Educational Technology & Society. 2019. V. 22. №4. P. 1-10.
- Chen Y., Liu X., Zhang J. Cognitive artificial intelligence in education: Challenges and opportunities // Computers in Education. 2022. V. 65. №2. P. 153-168.
- Kadenova Zh. Extracurricular Work as a Means of Motivation to Learn a Foreign Language // Бюллетень науки и практики. 2023. Т. 9. №5. С. 572-576. https://doi.org/10.33619/2414-2948/90/77.
- Dignum V. Responsible artificial intelligence: How to develop AI that is ethical and accountable. Springer Nature AI Ethics Series. 2020.
- Johnson M., Brown T., Miller P. Adaptive learning platforms: A systematic review of benefits and limitations // International Journal of Educational Research. 2020. V. 95. P. 101-120.
- Kadenova Zh. T. Principles of organizing extra-class work in a foreign language // Refleksiya. 2022. V. 4. P. 52-55.
- Kumar P., Singh A., Rao N. Artificial intelligence-driven personalization in e-learning systems // Educational Technology Review. 2021. V. 43. №1. P. 45-58.
- Zhang X., Wang Y., Chen R. Barriers to AI adoption in higher education: Insights from faculty perspectives // Education and Information Technologies. 2023. V. 28. №3. P. 567-582.
- Zhang L., Li H., Zhou J. Hybrid learning models with AI integration: A vision for the future of education // Journal of Future Education Technologies. 2021. V. 50. №5. P. 245-268.
- Turnitin. AI-powered tools for academic integrity and feedback. Retrieved from https://www.turnitin.com.
