The development and validation of the artificial intelligence literacy scale for middle school English teachers

As artificial intelligence (AI) becomes increasingly embedded in education, AI literacy has emerged as a critical competency for teachers across disciplines. However, existing research and assessment tools largely focus on STEM (science, technology, engineering and mathematics) fields, with limited attention given to AI literacy within language education. To address this gap, the present study aimed to develop and validate an AI literacy scale specifically designed for middle school English teachers in China. The scale is based on a four-dimensional framework comprising Awareness, Use, Evaluation, and Ethics. Using sequential design, item analysis and exploratory factor analysis were conducted with a sample of 700 teachers, followed by confirmatory factor analysis with an independent sample of 823 teachers, resulting in a final instrument comprising 24 items across four dimensions. The final instrument is structured around four dimensions: awareness, use, evaluation, and ethics. In addition, the scale demonstrated strong psychometric properties, including satisfactory reliability, construct validity, and criterion-related validity. Furthermore, measurement invariance was established across gender, age, and educational level, indicating the robustness of the scale across key demographic groups. The study offers a validated, context-specific tool to inform professional development and educational policy, enhancing teachers’ preparedness for AI-integrated instruction.

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Publication Details

Journal
Language Teaching Research
Published
2026-02-23
DOI
https://doi.org/10.1177/13621688261416208
Primary Topic
Teaching and Learning Programming
Type
article
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article

The development and validation of the artificial intelligence literacy scale for middle school English teachers

Yang Gao, Xiaochen Wang
Language Teaching Research
Teaching and Learning Programming
article

The development and validation of the artificial intelligence literacy scale for middle school English teachers

Yang Gao, Xiaochen Wang
article en

Abstract

As artificial intelligence (AI) becomes increasingly embedded in education, AI literacy has emerged as a critical competency for teachers across disciplines. However, existing research and assessment tools largely focus on STEM (science, technology, engineering and mathematics) fields, with limited attention given to AI literacy within language education. To address this gap, the present study aimed to develop and validate an AI literacy scale specifically designed for middle school English teachers in China. The scale is based on a four-dimensional framework comprising Awareness, Use, Evaluation, and Ethics. Using sequential design, item analysis and exploratory factor analysis were conducted with a sample of 700 teachers, followed by confirmatory factor analysis with an independent sample of 823 teachers, resulting in a final instrument comprising 24 items across four dimensions. The final instrument is structured around four dimensions: awareness, use, evaluation, and ethics. In addition, the scale demonstrated strong psychometric properties, including satisfactory reliability, construct validity, and criterion-related validity. Furthermore, measurement invariance was established across gender, age, and educational level, indicating the robustness of the scale across key demographic groups. The study offers a validated, context-specific tool to inform professional development and educational policy, enhancing teachers’ preparedness for AI-integrated instruction.

Language Teaching Research
Xi'an Jiaotong University (CN)
Quality Education
Openalex Percentile: Top 55%
Teaching and Learning Programming
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