Integration of artificial ıntelligence into primary school classrooms: the role of ChatGPT in ımproving poetry writing skills and attitudes towards poetry

The primary purpose of this study is to investigate the impact of using ChatGPT as a feedback mechanism on enhancing primary school students' poetry writing skills and attitudes towards poetry. In this study, a quasi-experimental design model with a pretest-posttest control group, a quantitative research method, was employed. In this study, conducted during the 2024-2025 academic year, 60 primary school fourth-grade students (30 experimental, 30 control) aged 10 years formed the study group for the research. During the six-week implementation period, students in the experimental group received ChatGPT-supported formative feedback on their poems and engaged in revision activities based on this feedback, while the control group participated in poetry writing activities without ChatGPT support. Data were analyzed using independent samples t-tests, paired samples t-tests, and analysis of covariance (ANCOVA). The results indicated a statistically significant difference in favor of the experimental group in posttest poetry writing skill scores when pretest scores were controlled (p < .001). In addition, students in the experimental group demonstrated significantly more positive attitudes toward poetry compared to the control group (p < .001). These findings suggest that ChatGPT-supported formative feedback may contribute to improvements in both poetry writing skills and attitudes toward poetry among primary school students.

Authors

Institutions

Publication Details

Journal
BMC Psychology
Published
2026-05-27
DOI
https://doi.org/10.1186/s40359-026-04844-4
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Integration of artificial ıntelligence into primary school classrooms: the role of ChatGPT in ımproving poetry writing skills and attitudes towards poetry

Emrah KULTAS
BMC Psychology
Artificial Intelligence in Healthcare and Education
article

Integration of artificial ıntelligence into primary school classrooms: the role of ChatGPT in ımproving poetry writing skills and attitudes towards poetry

Emrah KULTAS
article en

Abstract

The primary purpose of this study is to investigate the impact of using ChatGPT as a feedback mechanism on enhancing primary school students' poetry writing skills and attitudes towards poetry. In this study, a quasi-experimental design model with a pretest-posttest control group, a quantitative research method, was employed. In this study, conducted during the 2024-2025 academic year, 60 primary school fourth-grade students (30 experimental, 30 control) aged 10 years formed the study group for the research. During the six-week implementation period, students in the experimental group received ChatGPT-supported formative feedback on their poems and engaged in revision activities based on this feedback, while the control group participated in poetry writing activities without ChatGPT support. Data were analyzed using independent samples t-tests, paired samples t-tests, and analysis of covariance (ANCOVA). The results indicated a statistically significant difference in favor of the experimental group in posttest poetry writing skill scores when pretest scores were controlled (p < .001). In addition, students in the experimental group demonstrated significantly more positive attitudes toward poetry compared to the control group (p < .001). These findings suggest that ChatGPT-supported formative feedback may contribute to improvements in both poetry writing skills and attitudes toward poetry among primary school students.

BMC Psychology
Van Yüzüncü Yıl Üniversitesi (TR)
Quality Education
Openalex Percentile: Top 9%
Artificial Intelligence in Healthcare and Education
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.