AI Twin: Enhancing ESL Speaking Practice through AI Self-Clones of a Better Me

Fuente: arXiv
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Auteurs principaux: Park, Minju, Lee, Seunghyun, Ma, Juhwan, Yoon, Dongwook
Format: Preprint
Publié: 2026
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author Park, Minju
Lee, Seunghyun
Ma, Juhwan
Yoon, Dongwook
author_facet Park, Minju
Lee, Seunghyun
Ma, Juhwan
Yoon, Dongwook
contents Advances in AI have enabled ESL learners to practice speaking through conversational systems. However, most tools rely on explicit correction, which can interrupt the conversation and undermine confidence. Grounded in second language acquisition and motivational psychology, we present AI Twin, a system that rephrases learner utterances into more fluent English and delivers them in the learner's voice. Embodying a more confident and proficient version of the learner, AI Twin reinforces motivation through alignment with their aspirational Ideal L2 Self. Also, its use of implicit feedback through rephrasing preserves conversational flow and fosters an emotionally supportive environment. In a within-subject study with 20 adult ESL learners, we compared AI Twin with explicit correction and a non-personalized rephrasing agent. Results show that AI Twin elicited higher emotional engagement, with participants describing the experience as more motivating. These findings highlight the potential of self-representative AI for personalized, psychologically grounded support in ESL learning.
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id arxiv_https___arxiv_org_abs_2601_11103
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publishDate 2026
record_format arxiv
spellingShingle AI Twin: Enhancing ESL Speaking Practice through AI Self-Clones of a Better Me
Park, Minju
Lee, Seunghyun
Ma, Juhwan
Yoon, Dongwook
Human-Computer Interaction
Advances in AI have enabled ESL learners to practice speaking through conversational systems. However, most tools rely on explicit correction, which can interrupt the conversation and undermine confidence. Grounded in second language acquisition and motivational psychology, we present AI Twin, a system that rephrases learner utterances into more fluent English and delivers them in the learner's voice. Embodying a more confident and proficient version of the learner, AI Twin reinforces motivation through alignment with their aspirational Ideal L2 Self. Also, its use of implicit feedback through rephrasing preserves conversational flow and fosters an emotionally supportive environment. In a within-subject study with 20 adult ESL learners, we compared AI Twin with explicit correction and a non-personalized rephrasing agent. Results show that AI Twin elicited higher emotional engagement, with participants describing the experience as more motivating. These findings highlight the potential of self-representative AI for personalized, psychologically grounded support in ESL learning.
title AI Twin: Enhancing ESL Speaking Practice through AI Self-Clones of a Better Me
topic Human-Computer Interaction
url https://arxiv.org/abs/2601.11103