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Preparing Teachers for a ChatGPT-Influenced Workforce

Cilt: 33 Sayı: 2 25 Nisan 2025
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Preparing Teachers for a ChatGPT-Influenced Workforce

Öz

Purpose: In the 21st century, unique changes have become apparent in our lives. These changes have affected numerous fields, and education is no exception. Innovations in education have progressed rapidly, particularly with the prevalence of Artificial Intelligence (AI) applications. Higher education institutions play a crucial role in these developments due to their capacity to shape professional competencies and raise societal awareness. This study discusses the impact of AI applications on higher education and their significance in teacher training. Design/Methodology/Approach: The study explores AI applications in higher education, particularly in preparing prospective teachers for AI-driven work environments. A review of literature and current educational practices was conducted to assess the integration of AI into teacher training programs. The study focuses on AI literacy, curriculum adaptation, and professional development. Findings: AI applications have started to transform higher education by enhancing pedagogical methods, improving access to educational resources, and redefining the skill sets required for future educators. However, there remains a gap in AI literacy among pre-service teachers. Higher education institutions must incorporate AI-based courses and digital competencies to prepare teachers effectively. Highlights: The study emphasizes the need for AI literacy in teacher training programs to ensure future educators can effectively utilize AI technologies in their profession. Recommendations include updating curricula, integrating AI-driven tools, and fostering interdisciplinary collaboration in higher education.

Anahtar Kelimeler

Higher Education, Artificial Intelligence, AI literacy, Teacher Training, Digital Transformation

Kaynakça

  1. ABC News. (2023). Queensland to join NSW in banning access to ChatGPT in state schools. ABC News. Available at: https://www.abc.net.au/news/2023-01-23/queensland-to-join-nsw-in-banning-access-to/101884288
  2. Ahmad, T. (2019). Scenario based approach to re-imagining future of higher education which prepares students for the future of work. Higher Education, Skills and Work-based Learning, 10(1), 217–238.
  3. Ayyıldız, P., & Yılmaz, A. (2021). ‘Moving the kaleidoscope’ to see the effect of creative personality traits on creative thinking dispositions of preservice teachers: The mediating effect of creative learning environments and teachers’ creativity fostering behavior. Thinking Skills and Creativity, 41, 1-10. https://doi.org/10.1016/j.tsc.2021.100879
  4. Ayyıldız, P., & Yılmaz, A. (2023). Effective school management: Leadership capacity of the school principal. D. Outhwaite & C.A. Simon (Edts.). In Leadership and Management for Education Studies: Introducing Key Concepts of Theory and Practice (pp.46-58). London and New York: Routledge.
  5. Babic, I. D. (2017). Machine learning methods in predicting the student academic motivation. Croatian Operational Research Review, 8(2), 443–461.
  6. Becker, S. A., Brown, M., Dahlstrom, E., Davis, A., DePaul, K., Diaz, V., & Pomerantz, J. (2018). NMC Horizon Report: 2018 Higher Education Edition. Educause. https://library.educause.edu/~/media/files/library/2018/8/2018horizonreport.pdf
  7. Bhargava, A., Bester, M., & Bolton, L. (2021). Employees’ perceptions of the implementation of robotics, artificial intelligence, and automation (RAIA) on job satisfaction, job security, and employability. Journal of Technology in Behavioral Science, 6(1), 106–113.
  8. Borenstein, J., & Howard, A. (2021). Emerging challenges in AI and the need for AI ethics education. AI and Ethics, 1(1), 61-65. https://doi.org/10.1007/s43681-020-00002-7
  9. Brouillette, M. (2019). AI added to the curriculum for doctors-to-be. Nature Medicine, 25 (12), 1808–1809.
  10. Buckingham Shum, S., Ferguson, R., & Martinez-Maldonado, R. (2019). Human-centred learning analytics. Journal of Learning Analytics, 6(2), 1–9.

Kaynak Göster

APA
Helvacı, İ. (2025). Preparing Teachers for a ChatGPT-Influenced Workforce. Kastamonu Education Journal, 33(2), 401-410. https://doi.org/10.24106/kefdergi.1683517
AMA
1.Helvacı İ. Preparing Teachers for a ChatGPT-Influenced Workforce. Kastamonu Eğitim Dergisi. 2025;33(2):401-410. doi:10.24106/kefdergi.1683517
Chicago
Helvacı, İsmail. 2025. “Preparing Teachers for a ChatGPT-Influenced Workforce”. Kastamonu Education Journal 33 (2): 401-10. https://doi.org/10.24106/kefdergi.1683517.
EndNote
Helvacı İ (01 Nisan 2025) Preparing Teachers for a ChatGPT-Influenced Workforce. Kastamonu Education Journal 33 2 401–410.
IEEE
[1]İ. Helvacı, “Preparing Teachers for a ChatGPT-Influenced Workforce”, Kastamonu Eğitim Dergisi, c. 33, sy 2, ss. 401–410, Nis. 2025, doi: 10.24106/kefdergi.1683517.
ISNAD
Helvacı, İsmail. “Preparing Teachers for a ChatGPT-Influenced Workforce”. Kastamonu Education Journal 33/2 (01 Nisan 2025): 401-410. https://doi.org/10.24106/kefdergi.1683517.
JAMA
1.Helvacı İ. Preparing Teachers for a ChatGPT-Influenced Workforce. Kastamonu Eğitim Dergisi. 2025;33:401–410.
MLA
Helvacı, İsmail. “Preparing Teachers for a ChatGPT-Influenced Workforce”. Kastamonu Education Journal, c. 33, sy 2, Nisan 2025, ss. 401-10, doi:10.24106/kefdergi.1683517.
Vancouver
1.İsmail Helvacı. Preparing Teachers for a ChatGPT-Influenced Workforce. Kastamonu Eğitim Dergisi. 01 Nisan 2025;33(2):401-10. doi:10.24106/kefdergi.1683517