A SYSTEM FOR DEVELOPING STUDENTS' INDIVIDUAL TECHNOLOGICAL SKILLS IN REAL TIME BASED ON ARTIFICIAL INTELLIGENCE

Panjiyev Bekzod

Karshi State University Fakulty of Pedagogy student of the technological education

Keywords: artificial intelligence, technological education, individual approach, adaptive learning, digital technologies, innovative pedagogy, optimization of the educational process


Abstract

This article comprehensively examines the possibilities of using artificial intelligence (AI) technologies in the field of technological education to identify, analyze, and develop students’ individual abilities in real time. In traditional educational systems, students’ knowledge levels are usually assessed based on general criteria, which does not fully allow for consideration of their individual developmental characteristics.The study highlights the issues of creating an adaptive learning system that takes into account students’ learning pace, interests, and practical skills. It also presents ways to optimize the educational process through the use of artificial intelligence algorithms, enhance students’ independent learning abilities, and improve the overall effectiveness of education.The results of the study indicate that an education system based on modern digital technologies is an important factor in developing students’ technological thinking.


References

1. Holmes, W., Bialik, M., & Fadel, C. (2019).

Artificial Intelligence in Education: Promises and Implications for Teaching and Learning

https://www.cidt.org.uk/wp-content/uploads/2019/02/AI-in-Education-Promises-and-Implications.pdf

2. Luckin, R. (2018).

Machine Learning and Human Intelligence: The Future of Education for the 21st Century

https://www.uclpress.co.uk/products/98117

3. UNESCO (2021).

AI and Education: Guidance for Policy-makers

https://unesdoc.unesco.org/ark:/48223/pf0000376709

4. OECD (2021).

Artificial Intelligence and the Future of Skills

https://www.oecd.org/education/artificial-intelligence-and-the-future-of-skills-education-2030.pdf

5. Chen, L., Chen, P., & Lin, Z. (2020).

Artificial Intelligence in Education: A Review

https://doi.org/10.1109/ACCESS.2020.2988510

6. Zawacki-Richter, O., et al. (2019).

Systematic Review of Research on Artificial Intelligence Applications in Higher Education

https://doi.org/10.1186/s41239-019-0171-0

7. Woolf, B. P. (2020).

Building Intelligent Interactive Tutors

https://link.springer.com/book/10.1007/978-0-12-815391-9

8. Siemens, G., & Baker, R. (2012).

Learning Analytics and Educational Data Mining

https://doi.org/10.1145/2330601.2330661

9. Baker, R. S. (2016).

Stupid Tutoring Systems, Intelligent Humans

https://www.researchgate.net/publication/305332785

10. World Bank (2020).

Realizing the Future of Learning: From Learning Poverty to Learning for Everyone, Everywhere

https://www.worldbank.org/en/topic/education/publication/realizing-the-future-of-learning