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ZENODO
Article . 2025
License: CC BY
Data sources: ZENODO
ZENODO
Article . 2025
License: CC BY
Data sources: Datacite
ZENODO
Article . 2025
License: CC BY
Data sources: Datacite
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AI AS A DIGITAL LANGUAGE PARTNER: EFFECTS OF CONVERSATIONAL CHATBOTS ON SPEAKING FLUENCY AND INTERCULTURAL ANXIETY AMONG PAKISTANI ESL LEARNERS

Authors: Uzma Tariq; Imran Tariq; Sohail Tariq;

AI AS A DIGITAL LANGUAGE PARTNER: EFFECTS OF CONVERSATIONAL CHATBOTS ON SPEAKING FLUENCY AND INTERCULTURAL ANXIETY AMONG PAKISTANI ESL LEARNERS

Abstract

The study investigates how conversational AI chatbots, such as ChatGPT and Replika, support Pakistani ESL learners in developing oral fluency and intercultural communication skills. Complex dynamic systems theory, Krashen's affective filter hypothesis, and Bandura's social cognitive theory suggest that AI-mediated practice reduces anxiety and improves speaking outcomes by enhancing technical self-efficacy. To test hypotheses on chatbot usage, interaction type, and significant learner variables, multiple and hierarchical regression were applied to the dataset. Structured, role-playbased AI interaction predicts oral fluency and communicative skill better than formal training. Chatbot use and communication anxiety reduction are highly moderated by technological self-efficacy. The benefits demand internet access and self-efficacy, highlighting unfairness risks. The study found that AI chatbots are effective instructional aids. AI conversation practice in curricula requires planned, scaffolded integration, proactive development of learners' digital and linguistic self-efficacy, and policy action to reduce the digital gap. This evidence-based method is needed to realize AI's egalitarian and revolutionary potential in Pakistan's ESL setting.

Keywords

Digital Language Partner, Replika, AI Chatbot, ChatGPT, ESL Learners, Pakistan

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green