Towards Quality Education: AI-Supported English Pedagogy in Humanities and Engineering for SDG Implementation

Authors

  • Anuj Kumar Rushford Business School, Switzerland; INTI International University
  • Asokan Vasudevan Professor, Faculty of Business and Communications, Inti International University, Malaysia, Research Fellow, Wekerle Business School, Budapest, Jázmin u. 10, 1083
  • Devi Debyani School Of Language And Social Science, Sri Sri University
  • Subhashree Nanda Independent Researcher, Odisha
  • Aftab Haider Rizvi Vijay Patil School of Management (VPSM), DY Patil University, Navi Mumbai

DOI:

https://doi.org/10.16920/jeet/2025/v39is1/25135

Keywords:

Artificial Intelligence, Pedagogy, Higher Education, Educational Technology, Sustainable Development Goals

Abstract

The integration of artificial intelligence (AI) into English language instruction has been examined across two higher education contexts: humanities-based composition classes in California and STEM-focused English camps in Iran. Using a convergent mixed-methods design— combining surveys, writing artefacts, interviews, focus groups, and performance assessments—the analysis highlights how AI functions most effectively within hybrid instructional models where human guidance remains central. In composition classes, tools such as ChatGPT facilitated brainstorming, outlining, and drafting, whereas in engineering courses, platforms like TalkPal and GPTionary enhanced technical vocabulary, corrected grammatical errors, and improved oral fluency. Students valued AI’s adaptability, immediate feedback, and interactive features, which fostered greater engagement with coursework. At the same time, concerns emerged regarding authorship, overreliance, equitable access, cultural bias, and data privacy. Addressing these issues requires strategies aligned with the Sustainable Development Goals (SDGs), positioning AI as a pedagogical assistant rather than a substitute for teachers, thereby supporting equitable, high-quality, and globally relevant English language education.

Downloads

Download data is not yet available.

Downloads

Published

2025-09-10

How to Cite

Kumar, A., Vasudevan, A., Debyani, D., Nanda, S., & Rizvi, A. H. (2025). Towards Quality Education: AI-Supported English Pedagogy in Humanities and Engineering for SDG Implementation. Journal of Engineering Education Transformations, 39(is1), 65–75. https://doi.org/10.16920/jeet/2025/v39is1/25135

Issue

Section

Research Article

References

Abadzi, H. (2010). Efficient learning for the poor: Insights from the frontier of cognitive neuroscience. World Bank. https://doi.org/10.1596/978-0-8213-8459-8

Al-Busaidi, S. (2015). Language learning strategies and the academic writing proficiency of Omani college students. Journal of Teaching and Teacher Education, 3(1), 1–12.

Ali, M., Khan, S., & Ahmed, R. (2023). The role of generative AI in enhancing academic writing skills. Journal of Educational Technology Development and Exchange, 16(2), 45–62. https://doi.org/10.18785/jetde.1602.03

Ashford, R. (2021). Academic integrity in the digital age: A socio-techno responsibility framework. International Journal for Educational Integrity, 17(4), 1–15. https://doi.org/10.1007/s40979-02100094-7

Bozkurt, A., Sharma, R. C., & Mishra, S. (2021). Ethics and integrity in AI in education: Challenges and recommendations. Asian Journal of Distance Education, 16(2), 1–14.

Braun, V., & Clarke, V. (2006). Using thematic analysis in psychology. Qualitative Research in Psychology, 3(2), 77–101. https://doi.org/10.1191/1478088706qp063oa

Creswell, J. W., & Plano Clark, V. L. (2018). Designing and conducting mixed methods research (3rd ed.). SAGE Publications.

D’Mello, S. K., & Graesser, A. C. (2012). Language and discourse in tutoring. In N. M. Seel (Ed.), Encyclopedia of the sciences of learning (pp. 1797–1800). Springer. https://doi.org/10.1007/978-1-4419-1428-6_230

Famaye, A., Moraes, G., & Santos, P. (2023). AI literacy in higher education: Building institutional strategies. International Journal of Educational Technology, 10(1), 25–39.

Fetters, M. D., Curry, L. A., & Creswell, J. W. (2013). Achieving integration in mixed methods designs: Principles and practices. Health Services Research, 48(6), 2134–2156. https://doi.org/10.1111/1475-6773.12117

Field, A. (2018). Discovering statistics using IBM SPSS Statistics (5th ed.). SAGE Publications.

Guo, R., & Goh, C. (2015). Exploring factors influencing the use of language learning strategies among engineering students. International Journal of English Language Education, 3(1), 23–40. https://doi.org/10.5296/ijele.v3i1.6890

Haq, I. U., Khan, M., & Qureshi, S. (2023). Assessing the authenticity of AI-generated content in education. Computers & Education: Artificial Intelligence, 4, 100097. https://doi.org/10.1016/j.caeai.2023.100097

Holmes, W., Bialik, M., & Fadel, C. (2022). Ethics of artificial intelligence in education: Practices, challenges, and opportunities. Center for Curriculum Redesign.

Hutson, J., Plate, D., & Berry, K. (2024). Embracing AI in English composition: Insights and innovations in hybrid pedagogical practices. International Journal of Changes in Education, 1(1), 19–31. https://doi.org/10.47852/bonviewIJCE42022290

Kishore, S., Lee, H., & Singh, R. (2023). Generative AI in higher education: Risks and opportunities. Educational Technology Review, 31(2), 112– 129.

Kumar, A., Kumar, A., Bhoyar, S., & Mishra, A. K. (2024). Does ChatGPT foster academic misconduct in the future?.Public Administration and Policy, 27(2), 140-153.

Moraes, G., Santos, P., & Lima, R. (2023). Digital transformation in engineering education: Aligning with industry 4.0. Journal of Engineering Education Research, 28(3), 245– 260.

Naqvi, S. (2016). The impact of STEAM pedagogy on students’ motivation in language learning. Asian EFL Journal, 90, 45–70.

Nazari, M., Armat, M., & Ghaffari, M. (2021). AIpowered writing assistants in higher education: Effects on engagement and self-efficacy. Educational Technology Research and Development, 69(4), 2205–2225. https://doi.org/10.1007/s11423-021-09980-y

Perkins, R., & Roe, J. (2023). Academic integrity and AI: Guidelines for the classroom. Journal of Academic Ethics, 21, 231–247. https://doi.org/10.1007/s10805-023-09462-4

Porter, A., & Grippa, F. (2021). Artificial intelligence in education: Benefits and challenges. International Journal of Emerging Technologies in Learning, 16(15), 4–21. https://doi.org/10.3991/ijet.v16i15.23947

Rickel, J., & Johnson, W. L. (1998). Animated agents for procedural training in virtual reality: Perception, cognition, and motor control. Applied Artificial Intelligence, 13(4–5), 343–382. https://doi.org/10.1080/088395199117071

Shahidi, P., Farsani, M. A., &Mosayebi, S. A. (2023). Teaching engineering students English using artificial intelligence (AI) in comparison with traditional methods. In Proceedings of the 8th Iran International Conference on Engineering Education (pp. 1–12). https://doi.org/10.13140/RG.2.2.18533.17125

Shidiq, M. (2023). Lifelong learning and AI: Policy implications for education systems. Journal of Learning Futures, 4(2), 33–51.

Tuomi, I. (2022). The impact of artificial intelligence on learning, teaching, and education: Policies for the future. European Journal of Education, 57(4), 575–589. https://doi.org/10.1111/ejed.12505

Umezaki, M. (2007). AI-powered vocabulary acquisition: Applications in technical English learning. Journal of Applied Linguistics and Technology, 2(3), 121–135.

United Nations. (2015). Transforming our world: The 2030 agenda for sustainable development. https://sdgs.un.org/2030agenda

Yu, C. (2023). Academic responses to generative AI: Policy trends and classroom practices. International Review of Education, 69(5), 711–732. https://doi.org/10.1007/s11159-02309997-1

Zhao, Y., & Nazir, M. (2022). AI-enhanced English learning and inclusivity in higher education. Computers & Education, 185, 104529. https://doi.org/10.1016/j.compedu.2022.104529