The effects of peer-to-peer versus AI-partnered roleplays on EFL learners' intercultural pragmatic performance and willingness to communicate

This quasi-experimental study investigated the comparative efficacy of Generative Artificial Intelligence (GenAI) Voice Assistants versus traditional peer-partnered role-plays in developing Intercultural Pragmatic Competence (IPC) and modulating situational Willingness to Communicate (State-WTC). Utilizing a pretest-posttest non-equivalent groups design, 118 undergraduate Iraqi EFL learners participated in a six-week task-based intervention. Data collected via an oral discourse completion task and weekly State-WTC scales were analyzed using ANCOVA and independent samples t-tests in SPSS. The findings revealed that the GenAI group achieved significantly higher adjusted posttest pragmatic scores and maintained structurally superior communication readiness throughout the intervention () due to reduced affective anxiety. This study highlights the value of incorporating conversational AI as an effective tool for automated linguistic scaffolding.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-07-17
DOI
https://doi.org/10.5281/zenodo.21417189
Primary Topic
AI in Service Interactions
Type
article
Field-Weighted Citation Impact
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article

The effects of peer-to-peer versus AI-partnered roleplays on EFL learners' intercultural pragmatic performance and willingness to communicate

Al-Musafer Ahmed
Zenodo (CERN European Organization for Nuclear Research)
AI in Service Interactions
article

The effects of peer-to-peer versus AI-partnered roleplays on EFL learners' intercultural pragmatic performance and willingness to communicate

Al-Musafer Ahmed
article en

Abstract

This quasi-experimental study investigated the comparative efficacy of Generative Artificial Intelligence (GenAI) Voice Assistants versus traditional peer-partnered role-plays in developing Intercultural Pragmatic Competence (IPC) and modulating situational Willingness to Communicate (State-WTC). Utilizing a pretest-posttest non-equivalent groups design, 118 undergraduate Iraqi EFL learners participated in a six-week task-based intervention. Data collected via an oral discourse completion task and weekly State-WTC scales were analyzed using ANCOVA and independent samples t-tests in SPSS. The findings revealed that the GenAI group achieved significantly higher adjusted posttest pragmatic scores and maintained structurally superior communication readiness throughout the intervention () due to reduced affective anxiety. This study highlights the value of incorporating conversational AI as an effective tool for automated linguistic scaffolding.

Zenodo (CERN European Organization for Nuclear Research)
Al-Ayen Iraqi University (IQ)
Quality Education
Openalex Percentile: Top 6%
AI in Service Interactions
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