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Integrating Artificial Intelligence Tools in Classroom Language Assessment: Uses, Perceptions, and Pedagogical Implications |
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| รหัสดีโอไอ | |
| Creator | Niño G. Costramos |
| Title | Integrating Artificial Intelligence Tools in Classroom Language Assessment: Uses, Perceptions, and Pedagogical Implications |
| Publisher | Ph.D. Program in English Language Teaching (ELT), Faculty of Humanities and Social Sciences, Buriram Rajabhat University |
| Publication Year | 2568 |
| Journal Title | BRU ELT JOURNAL |
| Journal Vol. | 3 |
| Journal No. | 3 |
| Page no. | 271-283 |
| Keyword | artificial intelligence, language assessment, classroom technology, teacher perceptions, pedagogical implications |
| URL Website | https://so14.tci-thaijo.org/index.php/bru_elt_journal/index |
| Website title | https://so14.tci-thaijo.org/index.php/bru_elt_journal/article/view/1973 |
| ISSN | 2822-1311 |
| Abstract | This study explores the uses, perceptions, and pedagogical implications of integrating Artificial Intelligence (AI) tools in classroom language assessment among 30 Junior High School English Language teachers from public and private schools. Using a descriptive-quantitative design, data were collected through a structured survey capturing teachers’ experiences and insights. Results indicate that automated scoring software is the most commonly used AI tool, valued for its efficiency, consistency, and ability to provide prompt feedback, while less frequently used tools, such as AI speech labs, reveal opportunities to enhance oral language assessment. Teachers identified advantages including engagement, reduced bias, and adaptive learning, alongside challenges such as overreliance on technology, limited human interaction, and reduced capacity to capture nuanced student performance. Findings suggest that AI integration enhances assessment efficiency, supports higher-order thinking through authentic and adaptive tasks, and fosters multifaceted evaluation, while also reshaping teachers’ roles and highlighting the need for professional competence and ethical awareness. Effective AI implementation requires balancing technological tools with human judgment to ensure fairness, meaningful learning, and holistic assessment. |
