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Investigating the Effect of TBLT Approach on Undergraduates Oral Production Via Ismart Platform

Xinran Wang, Yanfeng Liu, Yanyan Liu

Abstract


Under the significant background of online learning, investigating the effectiveness of artificial intelligence (AI) assisted task-based
language teaching (TBLT) Approach in enhancing English as a Foreign Language (EFL) oral production is crucial. This study, conducted
over 10 weeks, aimed to assess changes in EFL undergraduates oral production, specifically in terms of complexity, accuracy, and fluency
(CAF), following Ismart TBLT instruction. Additionally, the study investigated the evolving relationships among these CAF components, with
repeated measures and correlation analyses used to evaluate the data. The findings revealed a significant improvement in the learners speech
rate and the accuracy of their utterances.

Keywords


TBLT; Oral production; Ismart; Complexity; Accuracy; Fluency

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References


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DOI: http://dx.doi.org/10.18686/neet.v2i5.4629

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