Copyright © 2026 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

@article{190534,
        author = {Dr. Nandita Chakrabarty},
        title = {The Potential of Artificial Intelligence to Replace Teachers: Insights from Pre-service Teacher Trainees},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {8},
        pages = {3590-3593},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=190534},
        abstract = {This study examines the perceptions of in-service teacher trainees regarding the potential replacement of human instructors by artificial intelligence (AI). Employing a purposive survey design and qualitative thematic analysis, the research evaluates trainees’ perspectives on AI’s limitations, including deficits in emotional intelligence, algorithmic bias, diminished student-teacher connectedness, and concerns about data authenticity and cultural responsiveness. The study further investigates the critical gatekeeping role of teachers in filtering information and the risk of professional obsolescence for future educators lacking AI expertise. Findings indicate a preference for a collaborative model between human teachers and AI to support future classrooms. The implications for teacher education curricula are discussed.},
        keywords = {Artificial intelligence, teacher replacement, emotional intelligence, algorithmic bias, AI literacy, teacher education, human-AI collaboration},
        month = {January},
        }