University Learners' Readiness for ChatGPT‐Assisted English Learning: Scale Development and Validation DOI Creative Commons
Shuqiong Luo, Di Zou

European Journal of Education, Journal Year: 2024, Volume and Issue: unknown

Published: Dec. 21, 2024

ABSTRACT Recent AI‐based language learning research highlights learners' crucial role, yet university learner readiness in ChatGPT‐based English remains unexplored. Accordingly, this current attempted to develop and validate a tool evaluate for ChatGPT‐assisted (LRCEL) address the gap that prior instruments have not taken into account features characteristics of ChatGPT teaching as well students' achievement emotions. Three hundred forty‐seven Chinese learners participated help explore confirm constructs LRCEL. Guided by theory planned behaviour control‐value emotions, results first‐order second‐order confirmatory factor analysis, exploratory structural equation modelling, convergent validity discriminant supported an 18‐item questionnaire comprising seven dimensions. The LRCEL has been proven valid reliable, enabling educational educators understand ChatGPT‐supported with domain‐specific items.

Language: Английский

How enjoyment spread its wings on tertiary learners’ psychological needs in ChatGPT-assisted English learning DOI
Shuqiong Luo, Di Zou

Learning and Motivation, Journal Year: 2024, Volume and Issue: 88, P. 102057 - 102057

Published: Oct. 19, 2024

Language: Английский

Citations

3

University Learners' Readiness for ChatGPT‐Assisted English Learning: Scale Development and Validation DOI Creative Commons
Shuqiong Luo, Di Zou

European Journal of Education, Journal Year: 2024, Volume and Issue: unknown

Published: Dec. 21, 2024

ABSTRACT Recent AI‐based language learning research highlights learners' crucial role, yet university learner readiness in ChatGPT‐based English remains unexplored. Accordingly, this current attempted to develop and validate a tool evaluate for ChatGPT‐assisted (LRCEL) address the gap that prior instruments have not taken into account features characteristics of ChatGPT teaching as well students' achievement emotions. Three hundred forty‐seven Chinese learners participated help explore confirm constructs LRCEL. Guided by theory planned behaviour control‐value emotions, results first‐order second‐order confirmatory factor analysis, exploratory structural equation modelling, convergent validity discriminant supported an 18‐item questionnaire comprising seven dimensions. The LRCEL has been proven valid reliable, enabling educational educators understand ChatGPT‐supported with domain‐specific items.

Language: Английский

Citations

1