Investigation of pre-service Mathematics teachers' instructional competencies in ChatGPT-supported lesson planning process

Year 2025, Volume: 8 Issue: 4 - ICETOL 2025 Special Issue, 394 - 408, 30.12.2025

Ayşe Tuğçe Bodur , Mevhibe Kobak Demir

https://doi.org/10.31681/jetol.1791244

Abstract

In today's world, where digitalization in education is gaining momentum, it is important to investigate the impact of AI-supported lesson planning on teacher competencies. The purpose of this study is to analyze the effect of ChatGPT-supported lesson planning on the instructional competency scores of pre-service mathematics teachers. A one-group pre-test-post-test experimental design was employed. The study group consisted of 17 third-year pre-service secondary school mathematics teachers from a state university in western Türkiye, selected via criterion sampling. Data were collected using three instruments: the Mathematics Teaching Efficacy Scale (MTES), the Mathematics Teaching Anxiety Scale (MTAS), and the Self-Efficacy Beliefs Regarding the Teaching Process Scale (SB-TPS). The data were analyzed using SPSS 20.0, following normality tests. Results indicated a decrease in the total scores for mathematics teaching competencies and mathematics teaching anxiety, while an increasing trend was observed in self-efficacy beliefs regarding the teaching process; however, these changes were not statistically significant. This study represents an initial step, highlighting the need for further research to advance a comprehensive understanding of AI integration in teacher education.

Keywords

Mathematics education , ChatGPT , lesson planning , pre-service teachers , instructional competency

Ethical Statement

The study was approved on 13.01.2025 by Ethics Committee of Balıkesir University (approval number E-16031472-108.01-472813).

Supporting Institution

Balıkesir University

Project Number

2025/043

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