Urban and Rural Students’ Experiences with AI PengTalk in English Learning: A Comparative Case Study

This comparative case study examined the experiences of urban and rural elementary school students in Korea using PengTalk, an AI-based English learning application. Using a mixed-methods approach, the study analyzed student surveys, usage records, and interviews. Quantitative data were examined through descriptive statistics and Mann-Whitney U tests, while qualitative responses were analyzed thematically. Both groups expressed positive perceptions, especially regarding PengTalk’s gamified and interactive features. Urban students outperformed their rural peers in average scores (82.5 vs. 75.8) and cumulative totals (28,224 vs. 12,369). However, gamification alone was insufficient to sustain engagement, particularly in the rural school. Major challenges included limited digital literacy and inadequate instructional support in the rural school, as well as technical issues such as voice recognition errors in the urban school. The findings indicate that student engagement with AI tools depends not only on application design but also on contextual factors such as access, support, and digital infrastructure. This study concludes with recommendations for more inclusive and equitable AI-assisted language learning environments.

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Publication Details

Journal
English Teaching
Published
2025-09-26
DOI
https://doi.org/10.15858/engtea.80.3.202509.125
Primary Topic
Online Learning and Analytics
Type
article
Field-Weighted Citation Impact
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article

Urban and Rural Students’ Experiences with AI PengTalk in English Learning: A Comparative Case Study

Eun‐Young Jeon
English Teaching
Online Learning and Analytics
article

Urban and Rural Students’ Experiences with AI PengTalk in English Learning: A Comparative Case Study

Eun‐Young Jeon
article en

Abstract

This comparative case study examined the experiences of urban and rural elementary school students in Korea using PengTalk, an AI-based English learning application. Using a mixed-methods approach, the study analyzed student surveys, usage records, and interviews. Quantitative data were examined through descriptive statistics and Mann-Whitney U tests, while qualitative responses were analyzed thematically. Both groups expressed positive perceptions, especially regarding PengTalk’s gamified and interactive features. Urban students outperformed their rural peers in average scores (82.5 vs. 75.8) and cumulative totals (28,224 vs. 12,369). However, gamification alone was insufficient to sustain engagement, particularly in the rural school. Major challenges included limited digital literacy and inadequate instructional support in the rural school, as well as technical issues such as voice recognition errors in the urban school. The findings indicate that student engagement with AI tools depends not only on application design but also on contextual factors such as access, support, and digital infrastructure. This study concludes with recommendations for more inclusive and equitable AI-assisted language learning environments.

English TeachingVol. 80(3)
Openalex Percentile: Top 71%
Online Learning and Analytics
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