Future of Teaching: Preparing Student-Teachers For AI Supported Learning Environments

Read full text
Authors: Immanuel Kolwin Jeyakumar
Cited by: 0

Abstract

This research article investigates the transformative significance of artificial intelligence (AI) in education as well as the importance of teacher education programs in preparing future educators for AI-integrated learning settings. As AI technologies, such as adaptive learning platforms and intelligent tutoring systems, become more widely used in education, teachers' capacity to engage with these tools critically and creatively becomes increasingly important. The study describes the essential abilities needed for effective teaching in AI-supported classrooms, such as AI literacy, pedagogical integration, ethical awareness, reflective practice, and a human-centered approach. It contends that educators must not only comprehend the technical aspects of AI, but also assess its educational consequences and handle ethical concerns such as bias and data privacy. By developing these competencies, teacher education may guarantee that AI improves rather than replaces meaningful teaching and learning experiences, supporting educational justice and inclusivity. The conclusion underlines the importance of a comprehensive and multidisciplinary approach to teacher preparation in order to equip future educators in the rapidly changing landscape of artificial intelligence in education.

Fields of Study & Subjects

Artificial Intelligence in Education Artificial Intelligence in Healthcare and Education Digital literacy in education

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
6 February 2026
Language
EN
Document type
Book