A Tool for Change in Higher Education: Empowering Student Learning and Wellbeing through Generative Artificial Intelligence (GenAI)

Muhammad Afiq Sukiman, Cheng Ean (Catherine) Lee

Abstract


This study examines how ChatGPT was used as a guided learning support tool in a Research Methodology course for third-year Communication undergraduates at a private Malaysian university. Rather than treating GenAI as a replacement for student effort, the paper focuses on how students used ChatGPT during the early stages of research proposal development, particularly when generating research ideas, drafting background sections, and shaping problem statements. Data were drawn from reflective essays and classroom-based learning materials submitted by 40 students after a structured ChatGPT activity. Thematic analysis identified eight connected themes: idea generation, time efficiency, confidence building, structured thinking, broadened research perspectives, motivation and engagement, writing and language support, and awareness of GenAI limitations. The findings show that ChatGPT helped students move past the difficulty of beginning an academic research work, reduced uncertainty in academic writing, and supported more organised thinking. At the same time, students were able to recognise the tool’s limitations, especially its lack of reliable citations and the need to verify information through scholarly sources. The study argues that ChatGPT can contribute to student learning and wellbeing when it is embedded within clear pedagogical guidance, ethical expectations, and reflective practice. Its value lies not in producing finished academic work, but in supporting students to think, question, revise, and take greater ownership of their learning.

 

Keywords: Generative artificial intelligence, ChatGPT, student learning and wellbeing, higher education, transformative learning.

 

https://doi.org/10.17576/JKMJC-2026-4202-33


Full Text:

PDF

References


Altınmakas, D., & Bayyurt, Y. (2019). An exploratory study on factors influencing undergraduate students’ academic writing practices in Turkey. Journal of English for Academic Purposes, 37, 88–103. https://doi.org/10.1016/j.jeap.2018.11.006

Chiu, T. K. F. (2024). Future research recommendations for transforming higher education with generative AI. Computers and Education: Artificial Intelligence, 6, Article 100197. https://doi.org/10.1016/j.caeai.2023.100197

Cubillos, C., Mellado, R., Cabrera-Paniagua, D., Cabrera, D., & Urra, E. (2025). Generative artificial intelligence in computer programming: Does it enhance learning, motivation, and the learning environment? IEEE Access, 13, 40438–40455. https://doi.org/rdfv

Dave, D. M., & Mandvikar, S. (2023). Augmented intelligence: Human-AI collaboration in the era of digital transformation. International Journal of Engineering Applied Sciences & Technology, 8(6), 24–33. https://doi.org/10.33564/IJEAST.2023.v08i06.003

Francis, N. J., Jones, S., & Smith, D. P. (2025). Generative AI in higher education: Balancing innovation and integrity. British Journal of Biomedical Science, 81, Article 14048. https://doi.org/10.3389/bjbs.2024.14048

Hassan, I., Abdul Rahman, A. M., & Azmi, M. N. L. (2021). Development of English writing skills through blended learning among ESL learners in Malaysia. Arab World English Journal, Special Issue on CALL(7), 377–389. https://doi.org/10.24093/awej/call7.26

Ilham, I., Musthafa, B., & Yusuf, F. N. (2020). University students’ needs of writing course materials: A case of Indonesia. English Review: Journal of English Education, 8(2), 31–40. https://doi.org/10.25134/erjee.v8i2.2988

Ivanov, S., Soliman, M., Tuomi, A., Alkathiri, N. A., & Al-Alawi, A. N. (2024). Drivers of generative AI adoption in higher education through the lens of the theory of planned behaviour. Technology in Society, 77, Article 102521. https://doi.org/g8zdcn

Jaboob, M., Hazaimeh, M., & Al-Ansi, A. M. (2025). Integration of generative AI techniques and applications in student behavior and cognitive achievement in Arab higher education. International Journal of Human–Computer Interaction, 41(1), 353–366. https://doi.org/10.1080/10447318.2023.2300016

Law, L. (2024). Application of generative artificial intelligence (GenAI) in language teaching and learning: A scoping literature review. Computers and Education Open, 6, Article 100174. https://doi.org/10.1016/j.caeo.2024.100174

Maphoto, K. B., Sevnarayan, K., Mohale, N. E., Suliman, Z., Ntsopi, T. J., & Mokoena, D. (2024). Advancing students’ academic excellence in distance education: Exploring the potential of generative AI integration to improve academic writing skills. Open Praxis, 16(2), 142–159. https://doi.org/10.55982/openpraxis.16.2.649

Naidu, K., & Sevnarayan, K. (2023). ChatGPT: An ever-increasing encroachment of artificial intelligence in online assessment in distance education. Online Journal of Communication and Media Technologies, 13(1), e202336. https://doi.org/rdfx

Peres, R., Schreier, M., Schweidel, D., & Sorescu, A. (2023). On ChatGPT and beyond: How generative artificial intelligence may affect research, teaching, and practice. International Journal of Research in Marketing, 40(2), 269–275. https://doi.org/10.1016/j.ijresmar.2023.03.001

Roe, J., Renandya, W. A., & Jacobs, G. M. (2023). A review of AI-powered writing tools and their implications for academic integrity in the language classroom. Journal of English and Applied Linguistics, 2(1), Article 3. https://doi.org/10.59588/2961-3094.1035

Rong, W., Xiao, M., Zhao, L., & Zhou, X. (2025). Empowering student learning in higher education with generative AI art applications: A systematic review. Information, 16(12), Article 1070. https://doi.org/10.3390/info16121070

Sağlamel, H., & Aydoğdu, Z. M. (2022). The academic writing needs of students: A case study on stakeholder perspectives. Acuity: Journal of English Language Pedagogy, Literature, and Culture, 7(1), 37–50. https://doi.org/10.35974/acuity.v7i2.2541

Salinas-Navarro, D. E., Vilalta-Perdomo, E., Michel-Villarreal, R., & Montesinos, L. (2024). Designing experiential learning activities with generative artificial intelligence tools for authentic assessment. Interactive Technology and Smart Education, 21(4), 708–734. https://doi.org/10.1108/ITSE-12-2023-0236

Shahzad, M. F., Xu, S., & Zhid, H. (2024). Generative artificial intelligence (ChatGPT-4) and social media impact on academic performance and psychological well-being in China’s higher education. European Journal of Education, 59(4), e12835. https://doi.org/rdf2

Wong, L.-H., & Looi, C.-K. (2024). Advancing the generative AI in education research agenda: Insights from the Asia-Pacific region. Asia Pacific Journal of Education, 44(1), 1–7. https://doi.org/10.1080/02188791.2024.2315704

Xiao, L., Pyng, H. S., Ayub, A. F. M., Zhu, Z., Gao, J., & Qing, Z. (2025). University students’ usage of generative artificial intelligence for sustainability: A cross-sectional survey from China. Sustainability, 17(8), Article 3541. https://doi.org/10.3390/su17083541

Zawacki-Richter, O., Marín, V. I., Bond, M., & Gouverneur, F. (2019). Systematic review of research on artificial intelligence applications in higher education: Where are the educators? International Journal of Educational Technology in Higher Education, 16(1), Article 39. https://doi.org/10.1186/s41239-019-0171-0

Zhang, K., & Aslan, A. B. (2021). AI technologies for education: Recent research and future directions. Computers and Education: Artificial Intelligence, 2, Article 100025. https://doi.org/10.1016/j.caeai.2021.100025

Zhu, W., Li, T., & Li, Q. (2026). The power of beliefs: How generative artificial intelligence influences academic performance. Acta Psychologica, 263, Article 106218. https://doi.org/10.1016/j.actpsy.2026.106218


Refbacks

  • There are currently no refbacks.


e-ISSN: 2289-1528