Araştırma Makalesi

ChatGPT in Teacher Education: Reducing Pre-Service Teachers’ Cognitive Load

Cilt: 19 Sayı: 4 29 Ekim 2026
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ChatGPT in Teacher Education: Reducing Pre-Service Teachers’ Cognitive Load

Öz

As artificial intelligence (AI) becomes increasingly integrated into education, its implications for teacher candidates’ cognitive processes warrant closer attention. This mixed-methods study examined the use of ChatGPT during lesson planning in the teaching practicum, focusing on perceived cognitive load, patterns of material use, and teacher candidates’ experiences. Twenty-four fourth-year teacher candidates participated in a six-week implementation in which they used ChatGPT to prepare lesson plans and instructional activities. Quantitative data were collected using a cognitive load rating scale, and qualitative data were obtained from weekly reflective narratives. Perceived cognitive load decreased significantly following the six-week implementation. Participants were also more likely to use ChatGPT-generated activities directly than activities obtained from Internet sources. Qualitative findings indicated that ChatGPT supported idea generation, access to instructional content, lesson-plan development, and time efficiency, while participants also reported limitations such as insufficient or repetitive content, misalignment with learning objectives, and system-related problems. Overall, ChatGPT may support lesson planning when its outputs are critically evaluated and adapted to pedagogical needs.

Anahtar Kelimeler

Destekleyen Kurum

none

Etik Beyan

The research strictly adhered to scientific and ethical standards throughout its execution, obtaining ethical clearance from the University Scientific Research and Publication Ethics Board, as evidenced by decision number 2023-16 on April 20, 2023

Teşekkür

none

Kaynakça

  1. Baidoo-Anu, D., & Owusu Ansah, L. (2023). Education in the era of generative artificial intelligence (AI): Understanding the potential benefits of ChatGPT in promoting teaching and learning. Journal of AI, 7(1), 52–62. https://doi.org/10.61969/jai.1337500 Barron, B. (2004). Learning ecologies for technological fluency: Gender and experience differences. Journal of Educational Computing Research, 31(1), 1–36. https://doi.org/10.2190/1N20-VV12-4RB5-33VA Biswas, S. (2023). ChatGPT and the future of medical writing. Radiology, 307(2), e223312. https://doi.org/10.1148/radiol.223312 Brünken, R., Plass, J. L., & Leutner, D. (2003). Direct measurement of cognitive load in multimedia learning. Educational Psychologist, 38(1), 53–61. https://doi.org/10.1207/S15326985EP3801_7 Çakmak, E. K. (2007). Çoklu ortamlarda dar boğaz: Aşırı bilişsel yüklenme. Gazi Üniversitesi Gazi Eğitim Fakültesi Dergisi, 27(2), 1–24.
  2. Celen, K. M., & Akcan, S. (2017). Evaluation of an ELT practicum programme from the perspectives of supervisors, student teachers and graduates. Journal of Teacher Education and Educators, 6(3), 251–274. https://izlik.org/JA35JA48LY
  3. Chandler, P., & Sweller, J. (1991). Cognitive load theory and the format of instruction. Cognition and Instruction, 8(4), 293–332. https://doi.org/10.1207/s1532690xci0804_2
  4. Cooper, G. (2023). Examining science education in ChatGPT: An exploratory study of generative artificial intelligence. Journal of Science Education and Technology, 32(3), 444–452. https://doi.org/10.1007/s10956-023-10039-y
  5. Creswell, J. W., & Plano Clark, V. L. (2018). Designing and conducting mixed methods research (3rd ed.). SAGE Publications.
  6. Demir, F., & Çatak, M. (2023). Examination of pre-service teachers’ experiences in teaching practice with distance education. Journal of Learning and Teaching in Digital Age, 8(2), 197–208. https://doi.org/10.53850/joltida.1141770
  7. Green, S. B., & Salkind, N. J. (2005). Using SPSS for Windows and Macintosh: Analyzing and understanding data (4th ed.). Pearson/Prentice Hall.
  8. Gurl, T. J., Markinson, M. P., & Artzt, A. F. (2025). Using ChatGPT as a lesson planning assistant with preservice secondary mathematics teachers. Digital Experiences in Mathematics Education, 11, 114–139. https://doi.org/10.1007/s40751-024-00162-9

Ayrıntılar

Birincil Dil

İngilizce

Konular

Öğretim Teknolojileri, Eğitim Üzerine Çalışmalar (Diğer)

Bölüm

Araştırma Makalesi

Yayımlanma Tarihi

29 Ekim 2026

Gönderilme Tarihi

18 Kasım 2025

Kabul Tarihi

28 Eylül 2026

Yayımlandığı Sayı

Yıl 2026 Cilt: 19 Sayı: 4

Kaynak Göster

APA
Üzümcü, Ö., Hakkoymaz, S., Sıvacı, S., & Özcan, M. (2026). ChatGPT in Teacher Education: Reducing Pre-Service Teachers’ Cognitive Load. Journal of Theoretical Educational Sciences, 19(4), 739-755. https://doi.org/10.30831/akukeg.1825933
AMA
1.Üzümcü Ö, Hakkoymaz S, Sıvacı S, Özcan M. ChatGPT in Teacher Education: Reducing Pre-Service Teachers’ Cognitive Load. Journal of Theoretical Educational Sciences. 2026;19(4):739-755. doi:10.30831/akukeg.1825933
Chicago
Üzümcü, Özlem, Sakine Hakkoymaz, Seda Sıvacı, ve Mihriban Özcan. 2026. “ChatGPT in Teacher Education: Reducing Pre-Service Teachers’ Cognitive Load”. Journal of Theoretical Educational Sciences 19 (4): 739-55. https://doi.org/10.30831/akukeg.1825933.
EndNote
Üzümcü Ö, Hakkoymaz S, Sıvacı S, Özcan M (01 Ekim 2026) ChatGPT in Teacher Education: Reducing Pre-Service Teachers’ Cognitive Load. Journal of Theoretical Educational Sciences 19 4 739–755.
IEEE
[1]Ö. Üzümcü, S. Hakkoymaz, S. Sıvacı, ve M. Özcan, “ChatGPT in Teacher Education: Reducing Pre-Service Teachers’ Cognitive Load”, Journal of Theoretical Educational Sciences, c. 19, sy 4, ss. 739–755, Eki. 2026, doi: 10.30831/akukeg.1825933.
ISNAD
Üzümcü, Özlem - Hakkoymaz, Sakine - Sıvacı, Seda - Özcan, Mihriban. “ChatGPT in Teacher Education: Reducing Pre-Service Teachers’ Cognitive Load”. Journal of Theoretical Educational Sciences 19/4 (01 Ekim 2026): 739-755. https://doi.org/10.30831/akukeg.1825933.
JAMA
1.Üzümcü Ö, Hakkoymaz S, Sıvacı S, Özcan M. ChatGPT in Teacher Education: Reducing Pre-Service Teachers’ Cognitive Load. Journal of Theoretical Educational Sciences. 2026;19:739–755.
MLA
Üzümcü, Özlem, vd. “ChatGPT in Teacher Education: Reducing Pre-Service Teachers’ Cognitive Load”. Journal of Theoretical Educational Sciences, c. 19, sy 4, Ekim 2026, ss. 739-55, doi:10.30831/akukeg.1825933.
Vancouver
1.Özlem Üzümcü, Sakine Hakkoymaz, Seda Sıvacı, Mihriban Özcan. ChatGPT in Teacher Education: Reducing Pre-Service Teachers’ Cognitive Load. Journal of Theoretical Educational Sciences. 01 Ekim 2026;19(4):739-55. doi:10.30831/akukeg.1825933