INTEGRATING ARTIFICIAL INTELLIGENCE IN TEACHER EDUCATION: A STUDY ON PEDAGOGICAL APPLICATIONS AND PSYCHOLOGICAL WELL-BEING IN THE CONTEXT OF NEP 2020

Abstract

Artificial Intelligence advancements are reshaping teacher education worldwide by introducing intelligent digital tools for instruction, assessment, and professional development. In India, where educational reform increasingly emphasizes technology integration, this study investigates how emerging digital technologies are being incorporated into teacher education institutions and how their adoption influences teaching practices, professional roles, and the psychological experiences of individuals involved in teacher preparation. By examining both instructional outcomes and psychological responses, the study seeks to understand the benefits of technological integration alongside potential concerns related to stress, performance expectations, and adaptation challenges. This perspective recognizes that innovation in education must be evaluated not only in terms of efficiency and learning outcomes but also in relation to the well-being of educators and learners. The study further examines how institutional practices correspond with national policy goals while identifying barriers that affect responsible implementation.

The research pursued three primary objectives: to identify patterns and extent of technology use in teacher education institutions, to examine perceived instructional advantages and implementation difficulties, and to analyze psychological responses among different stakeholder groups. A mixed-methods research design was adopted. The sample consisted of 120 participants drawn from selected teacher education institutions, including 50 teacher educators, 50 student teachers, and 20 administrators. Participants were selected through purposive stratified sampling to ensure representation across institutional roles. Quantitative data were collected using a structured questionnaire measuring usage patterns, perceived effectiveness, psychological well-being, and policy alignment. Qualitative insights were obtained through semi-structured interviews exploring training experiences, ethical considerations, and perceptions of technology integration.

The findings reveal that a large proportion of participants reported regular use of digital tools for lesson preparation, assessment processes, and feedback delivery, with many respondents perceiving improvements in instructional efficiency. Psychological responses were varied: some participants reported reduced workload and stress, while others indicated increased anxiety associated with monitoring and performance expectations. Major implementation challenges included limited access to systematic training opportunities and concerns regarding data protection and ethical responsibility. Despite these issues, most participants perceived general alignment between institutional practices and national reform priorities, although gaps in implementation remain evident.

The study concludes that AI integration can strengthen teacher preparation by enhancing efficiency and feedback processes. However, meaningful and sustainable adoption requires structured professional development, clear ethical safeguards, and consistent institutional support. Policy initiatives should therefore focus on capacity development, protection of data privacy, and collaborative participation of educators and learners in decision-making processes.