Social Sciences
| Open Access |
DOI: Artificial Intelligence in Pedagogy, Teaching Methodology, And Informatics Education: Opportunities, Challenges, And Future Directions
Auezova Raya Tileubaevna , Acting Associate Professor, PhD in Pedagogical Sciences, Department of Software Engineering, University of Innovation Technologies, UzbekistanAbstract
The rapid advancement of Artificial Intelligence (AI) has significantly transformed various sectors of society, including education. AI technologies have introduced innovative approaches to teaching, learning, assessment, and educational management. In pedagogy, AI enables personalized learning experiences, intelligent tutoring systems, and data-driven decision-making processes. In teaching methodology, AI supports adaptive instructional strategies, automated assessment, and interactive learning environments. Furthermore, in informatics education, AI serves both as a subject of study and as a powerful educational tool that enhances students’ digital competencies and problem-solving skills. Despite its numerous benefits, the implementation of AI in education raises concerns regarding ethics, privacy, algorithmic bias, and the changing role of teachers. This article examines the impact of AI on pedagogy, teaching methodology, and informatics education, highlighting its opportunities, challenges, and future prospects. The study emphasizes the importance of balancing technological innovation with pedagogical principles to ensure effective and equitable educational outcomes.
Keywords
Artificial intelligence, pedagogy, teaching methodology
References
Holmes, W., Bialik, M., & Fadel, C. (2019). Artificial Intelligence in Education: Promises and Implications for Teaching and Learning. Boston: Center for Curriculum Redesign.
Luckin, R. (2018). Machine Learning and Human Intelligence: The Future of Education for the 21st Century. London: UCL Institute of Education Press.
Russell, S., & Norvig, P. (2021). Artificial Intelligence: A Modern Approach (4th ed.). Pearson.
Woolf, B. P. (2021). Building Intelligent Interactive Tutors. Morgan Kaufmann.
Holmes, W., Porayska-Pomsta, K., & Holstein, K. (2022). Ethical Issues in AI-Supported Education. Educational Technology Research and Development, 70(1), 1–18.
UNESCO. (2023). Guidance for Generative AI in Education and Research. Paris: UNESCO.
Chen, L., Chen, P., & Lin, Z. (2020). Artificial Intelligence in Education: A Review. IEEE Access, 8, 75264–75278.
Zawacki-Richter, O., Marín, V. I., Bond, M., & Gouverneur, F. (2019). Systematic Review of Research on Artificial Intelligence Applications in Higher Education. International Journal of Educational Technology in Higher Education, 16(39), 1–27.
Download and View Statistics
Copyright License
Copyright (c) 2026 Auezova Raya Tileubaevna
This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors retain the copyright of their manuscripts, and all Open Access articles are disseminated under the terms of the Creative Commons Attribution License 4.0 (CC-BY), which licenses unrestricted use, distribution, and reproduction in any medium, provided that the original work is appropriately cited. The use of general descriptive names, trade names, trademarks, and so forth in this publication, even if not specifically identified, does not imply that these names are not protected by the relevant laws and regulations.