Enhancing foreign language learning through AI-driven telecollaboration

Artificial Intelligence (AI) is transforming language education through individualized practice, instant feedback, and enhanced engagement. This study investigates its integration into Technology-Enhanced Project-Based Language Learning (TEPBLL) and telecollaboration, focusing on perceptions of 48 young English learners who used a personalized version of ChatGPT-4 during a transnational project on clean water and sanitation. A qualitative thematic analysis of post-project survey responses was conducted, and theme frequencies were quantified to gauge salience. Learners reported high perceived value (90.7% positive) across language production, comprehension, collaboration, and AI/digital literacies. However, the teacher remained the preferred feedback source (69%). So, while AI offers immediacy and iteration, it cannot replace the social-emotional dimension of learning. Students also flagged challenges such as occasional misinformation, overloaded outputs, prompt-formulation, and language barriers. Findings suggest a pragmatic integration of AI as a scaffold to support teacher-led, telecollaborative TEPBLL, highlighting the need for explicit prompt literacy and mediation.

Authors

Institutions

Publication Details

Journal
Journal of Responsible Technology
Published
2026-01-20
DOI
https://doi.org/10.1016/j.jrt.2026.100153
Citations
1
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
17.70
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Enhancing foreign language learning through AI-driven telecollaboration

Dolors Masats, Dr Melinda Dooly, Maria Mont
1 citations
Journal of Responsible Technology
Artificial Intelligence in Healthcare and Education
17.70
article

Enhancing foreign language learning through AI-driven telecollaboration

Dolors Masats, Dr Melinda Dooly, Maria Mont
article en
1 citations

Abstract

Artificial Intelligence (AI) is transforming language education through individualized practice, instant feedback, and enhanced engagement. This study investigates its integration into Technology-Enhanced Project-Based Language Learning (TEPBLL) and telecollaboration, focusing on perceptions of 48 young English learners who used a personalized version of ChatGPT-4 during a transnational project on clean water and sanitation. A qualitative thematic analysis of post-project survey responses was conducted, and theme frequencies were quantified to gauge salience. Learners reported high perceived value (90.7% positive) across language production, comprehension, collaboration, and AI/digital literacies. However, the teacher remained the preferred feedback source (69%). So, while AI offers immediacy and iteration, it cannot replace the social-emotional dimension of learning. Students also flagged challenges such as occasional misinformation, overloaded outputs, prompt-formulation, and language barriers. Findings suggest a pragmatic integration of AI as a scaffold to support teacher-led, telecollaborative TEPBLL, highlighting the need for explicit prompt literacy and mediation.

Journal of Responsible TechnologyVol. 25
Universitat Autònoma de Barcelona (ES)
Quality Education
Openalex Percentile: Top 2%
Artificial Intelligence in Healthcare and Education
17.70
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.