Human-robot interaction using ChatGPT for technology driven language learning: contextual insights from the higher education institution of Indonesia

Purpose The study explores English as Foreign Language (EFL) learners’ experiences with ChatGPT in classrooms, focusing on its strengths, weaknesses, and impact on foreign language acquisition among postgraduate students. Design/methodology/approach The study used qualitative research methodology, conducting semi-structured interviews with EFL postgraduate students and teachers of Indonesia. Convenience sampling selected participants, and MaxQDA software helped identify recurring patterns and themes. Findings The study reveals ChatGPT’s effectiveness in EFL learning and language assessment, but also its limitations, including a lack of human cognitive abilities and potential risks of over-reliance on AI tools like academic integrity and biased information. Practical implications The study advises EFL teachers to use ChatGPT as a practical learning medium or robot tutor, not a replacement for human instruction. It suggests updating assessment methods and researching AI tools for interactive, multimedia-rich language learning environments, despite potential limitations. Originality/value This study explores the use of AI in EFL language learning, focusing on ChatGPT’s practical application. It highlights the potential and challenges of integrating AI into traditional teaching methods, advocating for a balanced approach that balances AI strengths and limitations.

Authors

Publication Details

Journal
Asian Education and Development Studies
Published
2025-05-14
DOI
https://doi.org/10.1108/aeds-01-2025-0038
Citations
7
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
4.58
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Human-robot interaction using ChatGPT for technology driven language learning: contextual insights from the higher education institution of Indonesia

Ahmad Al Yakin, Norah Almusharraf, Muhammad Mujtaba Asad, Muthmainnah Muthmainnah
7 citations
Asian Education and Development Studies
Artificial Intelligence in Healthcare and Education
4.58
article

Human-robot interaction using ChatGPT for technology driven language learning: contextual insights from the higher education institution of Indonesia

Ahmad Al Yakin, Norah Almusharraf, Muhammad Mujtaba Asad, Muthmainnah Muthmainnah
article en
7 citations

Abstract

Purpose The study explores English as Foreign Language (EFL) learners’ experiences with ChatGPT in classrooms, focusing on its strengths, weaknesses, and impact on foreign language acquisition among postgraduate students. Design/methodology/approach The study used qualitative research methodology, conducting semi-structured interviews with EFL postgraduate students and teachers of Indonesia. Convenience sampling selected participants, and MaxQDA software helped identify recurring patterns and themes. Findings The study reveals ChatGPT’s effectiveness in EFL learning and language assessment, but also its limitations, including a lack of human cognitive abilities and potential risks of over-reliance on AI tools like academic integrity and biased information. Practical implications The study advises EFL teachers to use ChatGPT as a practical learning medium or robot tutor, not a replacement for human instruction. It suggests updating assessment methods and researching AI tools for interactive, multimedia-rich language learning environments, despite potential limitations. Originality/value This study explores the use of AI in EFL language learning, focusing on ChatGPT’s practical application. It highlights the potential and challenges of integrating AI into traditional teaching methods, advocating for a balanced approach that balances AI strengths and limitations.

Asian Education and Development Studies
Openalex Percentile: Top 5%
Artificial Intelligence in Healthcare and Education
4.58
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.