RTIFICIAL INTELLIGENCE AND THE TRANSFORMATION OF THE TEACHING PROFESSION: FROM KNOWLEDGE PROVIDER TO LEARNING FACILITATOR

Authors

  • Raxmatullayeva Sayyora Jonzoq kizi Teacher at UzDJTU 997856959 sraxmatullayeva669@gmail.com Author

Keywords:

artificial intelligence, teaching profession, digital pedagogy, personalised learning, AI literacy, lifelong learning, human-AI collaboration.

Abstract

This thesis explores how artificial intelligence (AI) is reshaping the teaching profession in the twenty-first century. It argues that AI does not eliminate the educator but redefines the educator’s role, shifting it from the transmission of information toward the facilitation, personalisation and ethical guidance of learning. Based on a conceptual review of recent literature on automation and education, the study identifies three directions of change: the automation of routine pedagogical tasks, the personalisation of instruction through intelligent systems, and the rising demand for digital and ethical competence among teachers. The thesis concludes that the future educator must combine subject expertise with digital literacy, critical judgement and distinctly human capacities that intelligent systems cannot reproduce.

References

Autor, D. H. (2015). Why are there still so many jobs? The history and future of workplace automation. Journal of Economic Perspectives, 29(3), 3–30.

Brynjolfsson, E., & McAfee, A. (2014). The Second Machine Age: Work, Progress, and Prosperity in a Time of Brilliant Technologies. W. W. Norton & Company.

OECD. (2022). Automation, Skills Use and Training. Organisation for Economic Co-operation and Development.

Russell, S., & Norvig, P. (2021). Artificial Intelligence: A Modern Approach (4th ed.). Pearson.

World Economic Forum. (2023). The Future of Jobs Report 2023. Geneva: WEF.

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Published

21-06-2026

How to Cite

RTIFICIAL INTELLIGENCE AND THE TRANSFORMATION OF THE TEACHING PROFESSION: FROM KNOWLEDGE PROVIDER TO LEARNING FACILITATOR. (2026). INTERNATIONAL CONFERENCE ON SUPPORT OF MODERN SCIENCE AND INNOVATION., 3(6), 80-83. https://eoconf.com/index.php/icsmsi/article/view/1536