Modeling teacher education students’ adoption of large language models through an extended technology acceptance framework

Yulin Gong; Chengshu Xu; Suwen Luo; Jiaxin Lin

doi:10.1038/s41598-025-03298-9

Modeling teacher education students’ adoption of large language models through an extended technology acceptance framework

Y Yulin Gong C Chengshu Xu S Suwen Luo J Jiaxin Lin (Department of Chemistry, The Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong SAR, China)

Download PDF View Original

APA MLA Chicago BibTeX RIS

Article Details

Journal Scientific Reports

Volume / Issue Vol. 15, Issue 1

Published September 01, 2025

DOI 10.1038/s41598-025-03298-9

ISSN 2045-2322

Publisher Nature Portfolio

Journal Info

Scientific Reports

Nature Portfolio

ISSN: 2045-2322 Open Access Life Sciences

Authors (4)

Y

Yulin Gong

C

Chengshu Xu

S

Suwen Luo

J

Jiaxin Lin

Department of Chemistry, The Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong SAR, China

Modeling teacher education students’ adoption of large language models through an extended technology acceptance framework

Article Details

Journal Info

Authors (4)

Related Articles from this Journal

AI models of unstable flow exhibit hallucination

The MCAA-YOLO + XPBI integrated model provides a hybrid intelligent measurement method for predicting the body weight of Hu sheep

Application of iron nano-biofertilizers as a sustainable approach to enhance growth and micronutrient uptake in soybean

Adolescents’ status-dependent public and private conformity to prosocial and antisocial decisions in a public goods game

An explainable hierarchical capsule network framework for supporting expert sensory evaluation of herbal medicines with natural language generation