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Artificial Intelligence in the University Educational Process: Student Assessments

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  • Yu. N. Lapygin

  • D. Yu. Lapygin

Abstract

Digitalization, aimed at improving the quality of education, is driving a growing need to integrate artificial intelligence (AI) into university teaching. The use of neural networks and chatbots in the educational process by both faculty and students is showing positive trends, reflected in the growing number of publications in the subject area related to the application of AI in education. The AI development strategy outlined in the Presidential Decree identifies it as one of the most important technologies that can improve the quality of education and enhance the quality of life of the population. Furthermore, AI technologies in education are defined by a number of Russian standards. The aim of this study is to determine the attitudes toward AI among undergraduate, graduate, and doctoral students in one of the university's departments. The predominant research methods include content analysis of secondary data, including scientific publications and regulatory documents, the collection and processing of primary information collected through expert assessments, and observational and graphical modeling methods. The study's results suggest that the use of AI in education is becoming a public policy and offers new opportunities to improve the quality of education for both students and teachers. AI is becoming a daily feature of the educational process, which is welcomed by students. Students primarily use AI to assist with search and translation activities, as well as to assist with text writing. Conclusions: Students and teachers lack the competencies necessary to effectively interact with AI, making it crucial to incorporate AI elements into the educational process to improve the quality of education.

Suggested Citation

  • Yu. N. Lapygin & D. Yu. Lapygin, 2026. "Artificial Intelligence in the University Educational Process: Student Assessments," Administrative Consulting, Russian Presidential Academy of National Economy and Public Administration. North-West Institute of Management., issue 3.
    • Handle: RePEc:acf:journl:y:2026:id:2996
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    1. Borges, Aline F.S. & Laurindo, Fernando J.B. & Spínola, Mauro M. & Gonçalves, Rodrigo F. & Mattos, Claudia A., 2021. "The strategic use of artificial intelligence in the digital era: Systematic literature review and future research directions," International Journal of Information Management, Elsevier, vol. 57(C).
    2. Jarrahi, Mohammad Hossein, 2018. "Artificial intelligence and the future of work: Human-AI symbiosis in organizational decision making," Business Horizons, Elsevier, vol. 61(4), pages 577-586.
    3. Ming-Hui Huang & Roland T. Rust, 2021. "A strategic framework for artificial intelligence in marketing," Journal of the Academy of Marketing Science, Springer, vol. 49(1), pages 30-50, January.
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