University Students' Perception of the Effectiveness of Artificial Intelligence in Learning English

Authors

DOI:

https://doi.org/10.31637/epsir-2024-401

Keywords:

University Students, Qualitative analysis, Chat GPT, Grammarly, Language skills, English for Specific Purposes, Artificial Intelligence, IRaMuTeQ

Abstract

Introduction: This study analyzes university students' perception of the use of Artificial Intelligence (AI) in learning English for specific purposes, using tools like ChatGPT and Grammarly. Methodology: An open survey was conducted with students of Engineering and Modern Languages at the University of Las Palmas de Gran Canaria. The responses were qualitatively analyzed using IRaMuTeQ software, allowing for statistical and textual analysis. Results: Students reported improvements in written production and control of technical and academic language thanks to AI. The need for more active and personalized integration of these tools was highlighted. Discussion: The general perception of students regarding AI is positive, but they also suggest that the tools should be more personalized and used more frequently. The study reveals that while AI has proven effective in improving linguistic skills, it is crucial to adapt it to the specific needs of each student and professional context. Conclusions: AI is a valuable tool in language education, facilitating the acquisition of essential skills for professional success.

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Author Biography

Rocio Gragera, Universidad de Las Palmas de Gran Canaria

Researcher and teacher in English and in translation and interpreting, she is a PhD student at the University of Las Palmas de Gran Canaria and the University of La Laguna (Spain). Currently, she has a pre-doctoral research contract and is part of the research group Discourse, Communication and Society as well as the pedagogical innovation group New Technologies Applied to the Teaching of Specialty Languages. Her research focuses on corpus methodology. This junior researcher has organized and participated in several conferences over the last two years, as well as giving numerous communications in the fields of language teaching, applied linguistics, translation and interpreting.

References

Creswell, J. W. (2013). Qualitative Inquiry and Research Design: Choosing Among Five Approaches. SAGE Publications.

Dudley-Evans, T. y St John, M. J. (1998). Developments in English for Specific Purposes: A multi-disciplinary approach. Cambridge University Press.

Holmes, W., Bialik, M. y Fadel, C. (2019). Artificial Intelligence in Education: Promises and Implications for Teaching and Learning. Center for Curriculum Redesign.

Hutchinson, T. y Waters, A. (1987). English for Specific Purposes: A learning-centred approach. Cambridge University Press. DOI: https://doi.org/10.1017/CBO9780511733031

Hyland, K. (1999). Academic Discourse: English in a Global Context. Longman.

Kumar, P. (2020). The role of Artificial Intelligence in language learning. Language Learning Journal, 48(4), 459-472. http://dx.doi.org/10.53103/cjlls.v3i2.87 DOI: https://doi.org/10.53103/cjlls.v3i2.87

Kukulska-Hulme, A. y Shield, L. (2008). An overview of mobile assisted language learning: From content delivery to supported collaboration and interaction. ReCALL, 20(3), 271-289. http://dx.doi.org/10.1017/S0958344008000335 DOI: https://doi.org/10.1017/S0958344008000335

Luckin, R. (2016). Intelligence Unleashed: An argument for AI in Education. En B. Paltridge y S. Starfield (Eds.), The Handbook of English for Specific Purposes. Wiley-Blackwell.

Patridge, B. y Starfield, S. (2013). Handbook of English for Specific Purposes. Wiley-Blackwell. http://dx.doi.org/10.1002/9781118339855 DOI: https://doi.org/10.1002/9781118339855

Robinson, P. (1991). ESP Today: A Practitioner's Guide. Prentice Hall.

Selwyn, N. (2019). Should Robots Replace Teachers? AI and the Future of Education. Polity Press.

Warschauer, M. y Healey, D. (1998). Computers and language learning: An overview. Language Teaching, 31(2), 57-71. https://acortar.link/tyf3Ga DOI: https://doi.org/10.1017/S0261444800012970

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Published

2024-07-23

How to Cite

Gragera, R. (2024). University Students’ Perception of the Effectiveness of Artificial Intelligence in Learning English. European Public & Social Innovation Review, 9, 1–14. https://doi.org/10.31637/epsir-2024-401

Issue

Vol. 9 (2024)

Section

INNOVATION IN THE VIRTUALIZATION OF TRAINING PROCESSES

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Copyright (c) 2024 Rocio Gragera

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