Enhancing foreign language learning through AI-driven telecollaboration

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Authors: Maria Mont, Melinda Dooly, Dolors Masats
Cited by: 1
References: 20

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.

Fields of Study & Subjects

Artificial Intelligence in Healthcare and Education E-Learning and COVID-19 Innovative Teaching and Learning Methods

Publication details

Journal / source
Journal of Responsible Technology
Publisher
Elsevier BV
Volume
25
Pages
100153–100153
Publication date
20 January 2026
Language
EN