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“Current Issues in Training Pedagogical Personnel in Physics and Engineering: Artificial Intelligence in Physics Education — Opportunities, Challenges, and Pedagogical Implications.”
On April 7, 2026, within the framework of the traditional International Scientific Conference of Students and Young Scientists “Farabi Alemi”, a round table was held at the Faculty of Physics and Technology on the topic: “Current Issues in Training Pedagogical Personnel in Physics and Technology: Artificial Intelligence in Physics Education — Opportunities, Challenges, and Pedagogical Implications.”
During the round table, participants discussed the pedagogical potential of applying artificial intelligence tools in physics education, their impact on teaching methodologies, issues related to the development of research and digital competencies of future teachers, as well as methodological, didactic, and ethical aspects of integrating AI technologies into the educational process.
The round table brought together scientists, professors, university lecturers, school teachers, PhD doctoral students, master’s students, and researchers interested in advancing physics education and implementing modern digital technologies in educational practice. Presentations were delivered by Professor Nadya Suprapto (Surabaya State University, Indonesia), Professor Svetlana G. Karstina, Doctor of Physical and Mathematical Sciences (Karaganda Technical University named after E.A. Buketov), Professor Indira Bakhytkyzy Usembayeva (Khoja Akhmet Yassawi International Kazakh-Turkish University), Assistant Professor Kuralai Nurgaliyeva, Candidate of Physical and Mathematical Sciences (91ý Kazakh National University), PhD doctoral student Mukiyat Sungyla (Eskişehir Technical University), student Dinara Bazarkhankyzy (Korkyt Ata Kyzylorda University), and Associate Professor Kundyz Turekhanova, Candidate of Physical and Mathematical Sciences (91ý Kazakh National University).

The aim of the event was to improve the quality of training pedagogical personnel in the field of physics and technology, update educational content through the effective use of modern digital technologies, and enhance the professional competencies of future specialists.
During the discussions, participants examined the role of artificial intelligence in education from various perspectives. In particular, attention was given to the use of AI for identifying and correcting misconceptions in physics learning, effective methods of content delivery, and opportunities for developing gamified digital platforms. Additionally, the use of AI tools, vibe-coding technologies, prompt engineering, and the development of students’ research skills were widely discussed.
According to participants, while the integration of AI technologies can significantly improve the quality of education, it also presents several challenges. These include maintaining academic integrity, preventing the decline of students’ critical thinking skills, the potential weakening of direct teacher-student interaction, and concerns related to data security. Therefore, the need to establish ethical standards and methodological guidelines for the use of AI in education was emphasized.
The content of the event aligns with the United Nations Sustainable Development Goals, particularly SDG 4 — “Quality Education.” It reflects efforts to improve access to quality education, expand lifelong learning opportunities, and develop digital skills. Furthermore, through knowledge exchange among universities, schools, and research institutions, the event contributes to SDG 17 — “Partnerships for the Goals.”
Special attention was given to the strategic priorities for AI development outlined by the President of the Republic of Kazakhstan. Participants noted that integrating AI into the education system is a key factor in enhancing the country's intellectual potential. In this context, the importance of responsible and effective use of AI technologies, strengthening national human capital, and fostering integration between education and science was highlighted.
As a result of the round table, participants adopted specific recommendations aimed at improving the scientific and methodological foundations for integrating AI technologies into physics education, systematically incorporating digital components into educational programs, and developing the digital and research competencies of future teachers. The importance of strengthening collaboration between universities and schools, as well as implementing joint research projects, was also emphasized.
Moderator of the round table — Candidate of Physical and Mathematical Sciences K.M. Turekhanova.