Tipo: artículo

Metodología: estudio empírico

Temas: enseñanza/aprendizaje de lenguas

Resumen:

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...

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Teachers’ beliefs play a critical role in shaping how AI tools are interpreted and used in instruction, yet these beliefs have rarely been systematically assessed in university language teaching. This study aims to develop and validate a measurement instrument for assessing teachers’ beliefs about AI-assisted instruction, grounded in the Intelligent-Technological Pedagogical and Content Knowledge framework. A sequential, two-wave quantitative design was employed, with data from 508 teachers used for exploratory factor analysis (EFA), followed by confirmatory validation using an independent sample of 487 teachers. Data analyses were conducted using SPSS for EFA, AMOS for confirmatory factor analysis and Mplus for measurement invariance testing. The results supported a reliable five-factor belief structure: AI knowledge beliefs, AI...

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