Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

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Teacher corrective feedback (TCF) plays a vital role in second language (L2) learning. Recent studies have examined feedback provided by both human teachers and large language models (LLMs). However, little is known about how students' trust differs toward scaffolded corrective feedback (SCF)—that is, feedback that incrementally progresses from indirect to direct during interaction—when it is provided by an LLM such as ChatGPT versus a language teacher. To address this gap, this study compared the effects of SCF, delivered by language teachers and ChatGPT, on L2 learning outcomes and student trust. Using a mixed-methods design, 40 lower-intermediate Iranian learners of English as a foreign...

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Tipo: artículo

Metodología: estudio empírico

Temas: enseñanza/aprendizaje de lenguas

Resumen:

This study investigates Vietnamese EFL teachers’ beliefs and practices regarding oral corrective feedback, exploring and seeking to explain some of the relationships between beliefs and classroom practices. Data were collected in primary schools in Vietnam, and consist of 24 classroom observations and interviews with six teachers. Overall, the teachers showed high levels of awareness of the benefits of oral corrective feedback. They nominated pronunciation errors as the most important target for correction in the primary context. In practice, although pronunciation and grammar accounted for the majority of the total errors, leading to the majority of total feedback moves, the frequency of feedback per error was much higher for vocabulary errors. Prompts were reported by teachers to be more effective and more favourable than...

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