Artificial Intelligence and Teachers' Expansion: A Systematic Review
Artificial Intelligence and Teachers' Expansion: A Systematic Review

Summary/Abstract: The implications for the teaching profession are becoming more complex and far-reaching with the introduction of artificial intelligence (AI) in education. AI and changes in teachers' professional roles across teaching practices, professional development, leadership, and ethical engagement. This systematic review integrates the results of 21 papers published from 2019 to 2025. The review employs a narrative synthesis of the literature in accordance with PRISMA criteria and focuses on a range of learning environments, including preservice and in-service teacher settings. The eight primary themes were: enhancing education, individualised professional learning, teacher-AI cooperation in instructional design, ethical issues, emotional and motivational readiness, new roles of leadership, AI literacy frameworks and situational factors. It faces several challenges, including a lack of training, unmet ethical concerns, inadequate infrastructure, and the absence of long-term data, despite studies showing its benefits, such as improved productivity, tailored training, and increased leadership. Besides promoting the application of morally acceptable, pedagogically relevant, and context-specific AI in teacher preparation, this analysis underscores the need for and importance of critical empirical investigation, particularly in low-resource settings. It summarises that although AI can bring a total change in education, its implementation demands extensive training, accommodating legislation, and sustained institutional facilitation and motivation.

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