DESIGNING AI-BASED INDIVIDUAL DEVELOPMENT PATHWAYS IN THE PROFESSIONAL GROWTH OF LANGUAGE TEACHERS
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Abstract
This article explores the application of artificial intelligence (AI) in designing
individualized professional development pathways for language teachers. Through qualitative
methods, including document analysis and expert interviews, the study identifies the benefits
and challenges of AI-assisted learning for educators. The findings highlight AI's capacity to
personalize learning experiences, provide real-time feedback, and support data-informed
development strategies. However, ethical considerations and digital literacy are essential for
effective implementation. The research concludes that AI-based systems can enhance teacher
autonomy, motivation, and reflective practice when integrated with supportive policies and
human-centered approaches.
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References
Holmes, W., Bialik, M., & Fadel, C. (2019). Artificial Intelligence in Education: Promises
and Implications for Teaching and Learning. Boston: Center for Curriculum Redesign.
Luckin, R., Holmes, W., Griffiths, M., & Forcier, L. B. (2016). Intelligence Unleashed:
An Argument for AI in Education. Pearson Education.
OECD. (2021). Teachers and Leaders in Vocational Education and Training. OECD
Publishing.
Mishra, P., & Koehler, M. J. (2006). Technological pedagogical content knowledge: A
framework for teacher knowledge. Teachers College Record, 108(6), 1017–1054.
UNESCO. (2023). AI and the Futures of Education: Towards a Sustainable, Inclusive and
Democratic Use. Paris: UNESCO.
Van der Spoel, I., Noroozi, O., Schuurink, E., & van Ginkel, S. (2020). Teachers’ online
teaching expectations and experiences during the Covid19-pandemic in the Netherlands.
European Journal of Teacher Education, 43(4), 623–638.