Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

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Scene description tasks effectively enhance students' English writing skills in contextual settings, facilitating the establishment of authentic situational connections. However, evaluating descriptive quality and providing accurate, level-appropriate feedback present significant challenges. Although Multimodal Large Language Models (MLLMs) have demonstrated strong capabilities in vision-language tasks, their generated feedback for scene description tasks often remains generic. It fails to account for students' educational stages. To address this limitation, we construct a novel level-specific feedback dataset for scene description tasks. This dataset is constructed using GPT-4o with...

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Texto completo

Generative AI (GAI) is transforming education, despite its widespread use, its role in supporting student learning remains underexplored, and how to effectively leverage GAI for educational purposes is still unclear. This study focuses on enhancing language learning through GAI, specifically in picture-cued writing tasks, where students describe life scenarios depicted in pictures through text. A Generative AI-assisted language learning system was developed, powered by fine-tuned multimodal Large Language Models (LLMs), designed to evaluate students' textual descriptions in relation to corresponding images and provide adaptive feedback. A lot of middle school students participated in the...

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