Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Considering the contribution of intelligent personal assistant (IPA) platforms to English as a foreign language (EFL) speaking courses and the insufficiency of research in this regard, the current study applied a sequential explanatory mixed-methods approach to explore the impact of Google Assistant, an IPA platform, on EFL learners’ International English Language Testing System (IELTS) speaking test marks and their fluency, comprehensibility, and accentedness. Two intact classes at a language institute were chosen and randomly assigned to an IPA class with 20 EFL learners and a non-IPA class with 23 EFL learners. The IPA learners interactively and individually communicated with Google Assistant by giving commands/requests/questions, and the non-IPA learners communicated the same commands/requests/questions with their peers...

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