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This research aims to assess the impact of AI-driven tools on improving speaking proficiency in EFL learners.

Artificial Intelligence as a Catalyst for Nonlinear Skill Development: Evaluating Adaptive and Collaborative AI Tools for Transforming Academic Speaking Proficiency Among EFL Learners

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This research aims to assess the impact of AI-driven tools on improving speaking proficiency in EFL learners.
Quasi-experimental design involving 414 postgraduate EFL students
Comparison of three AI interventions against traditional computer-assisted language learning
Pretest–posttest design with analysis of covariance used for statistical control
Adaptive algorithms in personalized learning pathways improved fluency by 3.21 points
Accuracy increased with a 37.5% reduction in errors
Syntactic complexity rose by 1.8 clauses per T-unit
88% of learners reported improved metacognitive self-monitoring
Speaking anxiety decreased by approximately 44%

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Quasi-experimental study evaluates AI tools improving speaking proficiency among EFL learners, suggesting effective teaching strategies.

Xu et al. (2026) studied this question.

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