Pdf Artificial Intelligence Integration In Teacher Education Navigatin

Bonisiwe Shabane
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pdf artificial intelligence integration in teacher education navigatin

Academia.edu no longer supports Internet Explorer. To browse Academia.edu and the wider internet faster and more securely, please take a few seconds to upgrade your browser. 2025, Viksit Bharat 2047 : Interdisciplinary Approaches to Sustainable Growth & Innovation 1 ed., 105-112. Navyug Publications, Agra, India. ISBN: 978-93-93575-58-6. The integration of artificial intelligence (AI) in teacher education has become increasingly critical as AI technologies revolutionize educational landscapes.

This systematic review synthesizes existing research on AI integration in teacher education and examines the role of digital competence in enabling creative pedagogical practices. The study employs a comprehensive literature search across multiple academic databases, including publications from 2016 to 2025. The review reveals the adaptation of existing frameworks like DigCompEdu and TPACK to incorporate AI competencies and the development of new frameworks such as Intelligent-TPACK to address AI-specific skills. AI-powered tools are increasingly utilized in teacher preparation programs, with positive perceptions regarding their usefulness and ease of use. However, the need for additional AI-specific competencies beyond traditional frameworks is highlighted. Digital competence plays a crucial role in mediating the use of AI in education, with mixed results reported on pre-service and in-service teachers' digital skills.

AI serves as a powerful enabler of creative pedagogical practices, fostering personalized learning experiences and student engagement. Challenges include the need for diverse research approaches, balancing AI integration with human creativity, and addressing ethical considerations. Opportunities encompass enhanced digital competence, innovative pedagogical practices, focused educator roles, and collaborative approaches. The successful integration of AI in teacher education requires a multifaceted approach, emphasizing AI literacy, prompt engineering proficiency, and the preservation of human creativity and critical thinking. Teacher education is being transformed by Artificial Intelligence (AI) as educational technologies advance. This study critically examines how pre-service teacher training might strategically integrate AI to improve inclusion, personalise instruction, and close digital access gaps.

Thematic analysis of policy documents, academic literature, and institutional case studies shows that AI tools like intelligent tutoring systems, adaptive feedback mechanisms, and assistive technologies improve pedagogical competence and inclusive practice. Disparities in faculty digital literacy, infrastructure readiness, and ethics prevent meaningful deployment. Based on NEP 2020 and SDG 4, the article argues that AI is a strategic facilitator for egalitarian and future-ready teacher education. The findings suggest embedding AI into teacher education curricula, developing faculty, providing ethical protections, and addressing infrastructural imbalances to maximise AI-enhanced teaching. Keywords: AI, Teacher Education, Inclusive Pedagogy, NEP 2020, SDG 4, Digital Equity, Thematic Analysis This journal article from the Journal of Education and Learning examines the role of artificial intelligence (AI) in teacher preparation.

It begins by reviewing existing literature on AI’s impact on PreK–12education, the necessity of preparing AI-literate teachers, and the challenges of integrating AI into the classroom. The article then discusses the benefits and drawbacks of incorporating AI tools for both current and future educators. It considers philosophical and ethical concerns related to AI’s use in education and provides practical suggestions for incorporating AI through exemplary activities in courses. Ultimately, the article advocates for a cautious and strategic approach to integrating AI in education, emphasizing its potential to transform teaching practices. This resource is particularly valuable for faculty members seeking to integrate AI tools into educator preparation programs effectively.

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Academia.edu No Longer Supports Internet Explorer. To Browse Academia.edu And

Academia.edu no longer supports Internet Explorer. To browse Academia.edu and the wider internet faster and more securely, please take a few seconds to upgrade your browser. 2025, Viksit Bharat 2047 : Interdisciplinary Approaches to Sustainable Growth & Innovation 1 ed., 105-112. Navyug Publications, Agra, India. ISBN: 978-93-93575-58-6. The integration of artificial intelligence (AI) in teacher e...

This Systematic Review Synthesizes Existing Research On AI Integration In

This systematic review synthesizes existing research on AI integration in teacher education and examines the role of digital competence in enabling creative pedagogical practices. The study employs a comprehensive literature search across multiple academic databases, including publications from 2016 to 2025. The review reveals the adaptation of existing frameworks like DigCompEdu and TPACK to inco...

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Thematic analysis of policy documents, academic literature, and institutional case studies shows that AI tools like intelligent tutoring systems, adaptive feedback mechanisms, and assistive technologies improve pedagogical competence and inclusive practice. Disparities in faculty digital literacy, infrastructure readiness, and ethics prevent meaningful deployment. Based on NEP 2020 and SDG 4, the ...

It Begins By Reviewing Existing Literature On AI’s Impact On

It begins by reviewing existing literature on AI’s impact on PreK–12education, the necessity of preparing AI-literate teachers, and the challenges of integrating AI into the classroom. The article then discusses the benefits and drawbacks of incorporating AI tools for both current and future educators. It considers philosophical and ethical concerns related to AI’s use in education and provides pr...