University Learners' Readiness for <scp>ChatGPT</scp> ‐Assisted English Learning: Scale Development and Validation

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

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Publication Details

Journal
European Journal of Education
Published
2024-12-21
DOI
https://doi.org/10.1111/ejed.12886
Citations
11
Primary Topic
Online Learning and Analytics
Type
article
Field-Weighted Citation Impact
4.53
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article

University Learners' Readiness for ChatGPT ‐Assisted English Learning: Scale Development and Validation

Di Zou, Shuqiong Luo
11 citations
European Journal of Education
Online Learning and Analytics
4.53
article

University Learners' Readiness for ChatGPT ‐Assisted English Learning: Scale Development and Validation

Di Zou, Shuqiong Luo
article en
11 citations

Abstract

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

European Journal of EducationVol. 60(1)
Hong Kong Polytechnic University (HK), Jinan University (CN), Guangdong University of Foreign Studies (CN)
Reduced inequalities
Openalex Percentile: Top 4%
Online Learning and Analytics
4.53
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University Learners' Readiness for <scp>ChatGPT</scp> ‐Assisted English Learning: Scale Development and Validation — Di Zou, Shuqiong Luo · European Journal of Education (2024) | TGRS Research Map | TGRS