Preservice Teachers’ Perceptions of Generative AI for Teaching Preparation: A Study Built on the UNESCO AI Competency Framework

The purpose of this study was to examine preservice teachers’ perceptions of using generative AI (GenAI) for teaching preparation. Nineteen preservice teachers used GenAI tools in their teaching preparation over 8 wk. Data were analyzed through thematic analysis of reflections and a focus group interview. Results showed that GenAI supported instructional content creation, creativity, efficiency, and differentiated instruction. However, participants expressed concerns about overreliance, ethics, and reduced critical thinking. Findings highlight the need for GenAI literacy training in teacher education programs to ensure that future educators remain active designers of instructional content rather than passive consumers of AI-generated materials. This study is significant in that data were collected after preservice teachers’ actual engagement with GenAI tools for teaching preparation, providing experience-based insights rather than hypothetical perceptions.

Authors

Institutions

Publication Details

Journal
Computers in the Schools
Published
2026-09-29
DOI
https://doi.org/10.1080/07380569.2026.2740438
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
article

Preservice Teachers’ Perceptions of Generative AI for Teaching Preparation: A Study Built on the UNESCO AI Competency Framework

Seongmi Lim, Moon‐Heum Cho, Hyeonho Yu, Soyeon Kang et al.
Computers in the Schools
Artificial Intelligence in Healthcare and Education
article

Preservice Teachers’ Perceptions of Generative AI for Teaching Preparation: A Study Built on the UNESCO AI Competency Framework

Seongmi Lim, Moon‐Heum Cho, Hyeonho Yu, Soyeon Kang, Eunhae Park
article en

Abstract

The purpose of this study was to examine preservice teachers’ perceptions of using generative AI (GenAI) for teaching preparation. Nineteen preservice teachers used GenAI tools in their teaching preparation over 8 wk. Data were analyzed through thematic analysis of reflections and a focus group interview. Results showed that GenAI supported instructional content creation, creativity, efficiency, and differentiated instruction. However, participants expressed concerns about overreliance, ethics, and reduced critical thinking. Findings highlight the need for GenAI literacy training in teacher education programs to ensure that future educators remain active designers of instructional content rather than passive consumers of AI-generated materials. This study is significant in that data were collected after preservice teachers’ actual engagement with GenAI tools for teaching preparation, providing experience-based insights rather than hypothetical perceptions.

Computers in the Schools
Ball State University (US), Syracuse University (US)
Quality Education
Openalex Percentile: Top 15%
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.

Preservice Teachers’ Perceptions of Generative AI for Teaching Preparation: A Study Built on the UNESCO AI Competency Framework — Seongmi Lim, Moon‐Heum Cho, et al. · Computers in the Schools (2026) | TGRS Research Map | TGRS