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:

The selection of lexical units for pedagogy and research has been a contentious issue in second language (L2) vocabulary studies; however, many investigations have lacked classroom-based research. This mixed-methods quasi-experimental study examined the effects of teaching word families on vocabulary acquisition among adolescent first-language (L1) Chinese English-as-a-foreign-language learners. The quantitative component employs a quasi-experimental research design with 2 groups: an experimental group—the word-families group (n = 44)—which received structural elaboration instruction on 50 target words from the course textbook along with their inflected and derived forms, and a comparison group—the individual-word-forms group (n = 49)—which received semantic elaboration instruction focused on individual word forms and their meanings....

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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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Tipo: artículo

Metodología: estudio empírico

Temas: enseñanza/aprendizaje de vocabulario

Resumen:

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While research suggests that vocabulary learning through task completion is more effective than direct instruction, the underlying cause of this advantage—whether task involvement load (IL) or time spent on tasks—remains unclear. Extending the work of Hill and Laufer (2003, International Review of Applied Linguistics in Language Teaching, 41, 87–106), this study examines the effects of IL and employs eye-tracking to investigate how time spent on tasks, target words, and context, as well as regressions to targets, influence incidental vocabulary acquisition. Seventy-three second-language (...

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