13. Artificial Intelligence in Education: Implications for Teacher Roles and Pedagogical Transformation

The rapid integration of Artificial Intelligence (AI) into educational contexts is reshaping teaching and learning practices worldwide, raising critical questions about the evolving role of teachers and the nature of pedagogy in the 21st century. This study examines the ways in which AI-driven tools—such as automated assessment systems, adaptive learning platforms, and large language models—are transforming teachers’ responsibilities, professional identity, and instructional strategies. While AI offers opportunities for personalized learning, administrative efficiency, and data-driven insights, its adoption also introduces challenges related to teacher autonomy, pedagogical authority, and professional adaptation. Focusing on the theme of pedagogical transformation, this paper investigates how teachers navigate the tension between technological augmentation and the preservation of human-centered teaching practices.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-10-14
DOI
https://doi.org/10.5281/zenodo.17239457
Primary Topic
Agroforestry and silvopastoral systems
Type
article
Field-Weighted Citation Impact
0.00
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article

13. Artificial Intelligence in Education: Implications for Teacher Roles and Pedagogical Transformation

Zenodo (CERN European Organization for Nuclear Research)
Agroforestry and silvopastoral systems
article

13. Artificial Intelligence in Education: Implications for Teacher Roles and Pedagogical Transformation

article en

Abstract

The rapid integration of Artificial Intelligence (AI) into educational contexts is reshaping teaching and learning practices worldwide, raising critical questions about the evolving role of teachers and the nature of pedagogy in the 21st century. This study examines the ways in which AI-driven tools—such as automated assessment systems, adaptive learning platforms, and large language models—are transforming teachers’ responsibilities, professional identity, and instructional strategies. While AI offers opportunities for personalized learning, administrative efficiency, and data-driven insights, its adoption also introduces challenges related to teacher autonomy, pedagogical authority, and professional adaptation. Focusing on the theme of pedagogical transformation, this paper investigates how teachers navigate the tension between technological augmentation and the preservation of human-centered teaching practices.

Zenodo (CERN European Organization for Nuclear Research)
Quality Education
Openalex Percentile: Top 36%
Agroforestry and silvopastoral systems
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