Vol. 2 No. 1 (2027): Volume 2, Issue 1 (2027)
Articles

How Do Undergraduate Students Use ChatGPT for Career Development? An Explanatory Mixed-Methods Study of Employability-Related Activities

Viktoria Loidl
Education Policy, Organization, and Leadership, College of Education, University of Illinois Urbana-Champaign
Yaning Cao
Education Policy, Organization, and Leadership, College of Education, University of Illinois Urbana-Champaign
Wenhao David Huang
Education Policy, Organization, and Leadership, College of Education, University of Illinois Urbana-Champaign

Published 2026-05-06

Versions

Keywords

  • ChatGPT,
  • generative artificial intelligence,
  • career development,
  • technology acceptance model,
  • AI literacy

How to Cite

Loidl, V., Cao, Y., & Huang, W. D. (2026). How Do Undergraduate Students Use ChatGPT for Career Development? An Explanatory Mixed-Methods Study of Employability-Related Activities. International Journal of AI in Pedagogy, Innovation, and Learning Futures, 2(1). https://doi.org/10.46787/ijaipil.v2i1.7284

Abstract

Generative artificial intelligence (GAI) tools are increasingly used by students to support employability-related tasks such as resume writing, interview preparation, and professional communication. This mixed methods study examined how undergraduate students in a College of Liberal Arts and Sciences at a Midwestern research one (R1) university use ChatGPT for employability-related activities. Guided by the Technology Acceptance Model, the quantitative phase (n = 102) provided an overview of career development activities and explored predictors of perceived usefulness. The qualitative phase (n = 25) offered in-depth insights into students' experiences using AI for employability-related tasks. Findings show that students primarily use ChatGPT for resume and cover letter writing, workplace communication, and interview preparation. Students value its ease of use and accessibility but remain cautious about accuracy and authenticity. Rather than passively accepting AI-generated output or replacing human guidance, ChatGPT serves as a brainstorming partner and revision support tool to refine ideas and materials. The study underscores the growing role of GAI in employability preparation and contributes to understanding how students evaluate and use AI-generated outputs in their preparation processes, highlighting implications for fostering AI literacy and ethical awareness. 

References

  1. Al-kfairy, M., Mustafa, D., Kshetri, N., Insiew, M., & Alfandi, O. (2024). Ethical challenges and solutions of generative AI: An interdisciplinary perspective. Informatics, 11(3), 58. https://doi.org/10.3390/informatics11030058
  2. Baskara, R., & Mukarto, M. (2023). Exploring the implications of ChatGPT for language learning in higher education. Indonesian Journal of English Language Teaching and Applied Linguistics, 7(2), 343–358. http://dx.doi.org/10.21093/ijeltal.v7i2.1387
  3. Braun, V., & Clarke, V. (2006). Using thematic analysis in psychology. Qualitative Research in Psychology, 3(2), 77–101. https://doi.org/10.1191/1478088706qp063oa
  4. Career Education at Stanford. (n.d.). AI resources. https://careered.stanford.edu/resources/resources-links%23additional/ai-resources
  5. Career Services at the University of Richmond. (n.d.). AI for career readiness. https://careerservices.richmond.edu/channels/ai-for-career-readiness/posts/
  6. Career Services at UW-Madison. (n.d.). Artificial intelligence (AI) career toolkit. https://careers.wisc.edu/artificial-intelligence-career-toolkit/
  7. Career Outcomes at Michigan State University. (n.d.). Career outcomes – Bachelor’s degrees. https://careernetwork.msu.edu/outcomes/#!eWVhcj0yMDI0O2RpdmlzaW9uPUVuZ2luZWVyaW5n
  8. Chan, C. K. Y., & Hu, W. (2023). Students’ voices on generative AI: Perceptions, benefits, and challenges in higher education. International Journal of Educational Technology in Higher Education, 20(1), 43. https://doi.org/10.1186/s41239-023-00411-8
  9. Dartmouth Center for Career Design. (n.d.). Utilizing generative ai for career development. https://careerdesign.dartmouth.edu/channels/utilizing-chatgpt-and-ai/
  10. Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319–340. https://doi.org/10.2307/249008
  11. DeCuir-Gunby, J.T., & Schutz, P.A. (2016). Developing a mixed methods proposal: A practical guide for beginning researchers. Sage.
  12. DeVellis, R. F., & Thorpe, C. T. (2022). Scale development: Theory and applications. Sage.
  13. Edmunds, R., Thorpe, M., & Conole, G. (2012). Student attitudes towards and use of ICT in course study, work and social activity: A technology acceptance model approach. British Journal of Educational Technology, 43(1), 71–84. https://doi.org/10.1111/j.1467-8535.2010.01142.x
  14. Fauzi, F., Tuhuteru, L., Sampe, F., Ausat, A., & Hatta, H. (2023). Analyzing the role of ChatGPT in improving student productivity in higher education. Journal on Education, 5(4), 14886–14891. https://doi.org/10.31004/joe.v5i4.2563
  15. First Destination Outcomes at Marquette University. (n.d.). First destination outcomes major. https://www.marquette.edu/career-center/outcomes/first-destination-outcomes-major.php
  16. Flink, N. A., Black, H. G., & Dingus, R. (2024). Explore, identify, and align: Utilizing generative AI as a career coach. Marketing Education Review, 35(2), 109–119. https://doi.org/10.1080/10528008.2024.2430266
  17. Fong, J. (2019). What the numbers tell us: Re-engineering the liberal arts degree – A baseline for the new economy. Unbound Reinventing Higher Education. https://unbound.upcea.edu/research-and-policy/re-engineering-the-liberal-arts-degree-a-baseline-for-the-new-economy/#_ftn1
  18. Ganguli, S. (2025). The why and how of generative AI application in business for career readiness. International Journal of Advanced Corporate Learning, 18(1), 64–76. https://doi.org/10.3991/ijac.v18i1.51137
  19. Granillo‐Velasquez, K. E., Musemeche, N. P., & Reyes, D. L. (2025). Mapping the modern workforce: An overview of workforce competency demands. The Career Development Quarterly, 73(1), 48–67. https://doi.org/10.1002/cdq.12367
  20. Hillage, J., & Pollard, E. (1998). Employability: Developing a framework for policy analysis (Vol. 107). Department for Education and Employment.
  21. Hinkin, T. R. (1998). A brief tutorial on the development of measures for use in survey questionnaires. Organizational Research Methods, 1(1), 104–121. https://doi.org/10.1177/109442819800100106
  22. Illini Success. (2025). Illini success: All campus undergraduate 2023-2024 report. https://illinisuccess.illinois.edu/23-24-annual-report
  23. Koukou, C., & Stavrou, E. (2024, June). The potential of generative AI chatbots as career advisors in cybersecurity: Professionals’ perspectives. In IFIP World Conference on Information Security Education (pp. 191–206). Springer Nature Switzerland.
  24. Lee, D. Y., & Lehto, M. R. (2013). User acceptance of YouTube for procedural learning: An extension of the technology acceptance model. Computers & Education, 61, 193–208. https://doi.org/10.1016/j.compedu.2012.10.001
  25. Li, H., & Kim, S. (2024). Developing AI literacy in HRD: Competencies, approaches, and implications. Human Resource Development International, 27(3), 345–366. https://doi.org/10.1080/13678868.2024.2337962
  26. Lin, M. H., Lim, P. K., Azalea, A., & Lee, M. C. C. (2024). Factors affecting career motivation of recent graduates: Career adaptability as a mediator. The Career Development Quarterly, 72(4), 276–294. https://doi.org/10.1002/cdq.12361
  27. Liu, C. C., Liao, M. G., Chang, C. H., & Lin, H. M. (2022). An analysis of children’ interaction with an AI chatbot and its impact on their interest in reading. Computers & Education, 189, 104576. https://doi.org/10.1016/j.compedu.2022.104576
  28. Malik, A. R., Pratiwi, Y., Andajani, K., Numertayasa, I. W., Suharti, S., Darwis, A., & Marzuki. (2023). Exploring artificial intelligence in academic essay: Higher education student’s perspective. International Journal of Educational Research Open, 5, 100296. https://doi.org/10.1016/j.ijedro.2023.100296
  29. Marangunić, N., & Granić, A. (2015). Technology acceptance model: A literature review from 1986 to 2013. Universal Access in the Information Society, 14, 81–95. https://doi.org/10.1007/s10209-014-0348-1
  30. National Association of Colleges and Employers. (n.d.). What is career readiness? https://naceweb.org/career-readiness/competencies/career-readiness-defined?utm_source=chatgpt.com#competencies
  31. Northwestern Career Advancement. (n.d.). Using generative AI. https://www.northwestern.edu/careers/jobs-internships/using-generative-ai.html
  32. OpenAI. (2024). ChatGPT: Optimizing language models for dialogue. https://openai.com/blog/chatgpt
  33. Pham Thi, T. D. (2025). Are college students ready to learn AI? - A readiness perspective. The Career Development Quarterly, 0, 1–17. https://doi.org/10.1002/cdq.70011
  34. Ponce, T. M. (2024). AI resume writing: How prompt confidence shapes output and AI literacies. Business and Professional Communication Quarterly, 23294906241273317. https://doi.org/10.1177/23294906241273317
  35. R Core Team. (2021). R: A language and environment for statistical computing [Computer software]. R Foundation for Statistical Computing. https://www.R-project.org/
  36. Rafique, H., Almagrabi, A. O., Shamim, A., Anwar, F., & Bashir, A. K. (2020). Investigating the acceptance of mobile library applications with an extended technology acceptance model (TAM). Computers & Education, 145, 103732. https://doi.org/10.1016/j.compedu.2019.103732
  37. Ryu, J. E., & Jeong, J. (2021). Career compromise types among university graduates during the school‐to‐work transition. The Career Development Quarterly, 69(1), 19–33. https://doi.org/10.1002/cdq.12246
  38. Saif, N., Khan, S. U., Shaheen, I., Alotaibi, F. A., Alnfiai, M. M., & Arif, M. (2024). ChatGPT: Validating the technology acceptance model (TAM) in the education sector via ubiquitous learning mechanism. Computers in Human Behavior, 154, 108097. https://doi.org/10.1016/j.chb.2023.108097
  39. Smith, L. (2023, March 30). ChatGPT in career planning: How it will change the game. Career Center in the Mungo Exchange, Wofford College. https://careercenter.wofford.edu/blog/2023/03/30/chatgpt-in-career-planning-how-it-will-change-the-game/
  40. The Grainger College of Engineering Career Services. (n.d.). Generative AI and your job search. https://ecs.grainger.illinois.edu/student-resources/generative-ai-job-search
  41. Tlili, A., Shehata, B., Adarkwah, M. A., Bozkurt, A., Hickey, D. T., Huang, R., & Agyemang, B. (2023). What if the devil is my guardian angel: ChatGPT as a case study of using chatbots in education. Smart Learning Environments, 10(1), 15. https://doi.org/10.1186/s40561-023-00237-x
  42. Velander, J., Otero, N., & Milrad, M. (2024). What is critical (about) AI literacy? Exploring conceptualizations present in AI literacy discourse. In Buch, A., Lindberg, Y., Cerratto Pargman, T. (Eds.), Framing futures in post digital education: Critical concepts for data-driven practices (pp. 139–160). Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-58622-4_8
  43. Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly, 27(3), 425–478. https://doi.org/10.2307/30036540
  44. Waikar, R., Tamhane, S., Tale, T., Talekar, R., Tangde, A., Singla, T., & Kalokhe, T. (2024). Student career guidance using generative AI. 2024 International Conference on Artificial Intelligence and Quantum Computation-Based Sensor Application (ICAIQSA), 1–6. https://doi.org/10.1109/ICAIQSA64000.2024.10882269
  45. Wall, J., Janicki, C., Greenwood, D., & Okrosy, K. (2025, April). Framework for ethical and effective AI use in career services. National Career Development Association. https://www.ncda.org/aws/NCDA/asset_manager/get_file/920781?ver=2
  46. Westman, S., Kauttonen, J., Klemetti, A., Korhonen, N., Manninen, M., Mononen, A., Niittymäki, S., & Paananen, H. (2021). Artificial intelligence for career guidance -- Current requirements and prospects for the future. IAFOR Journal of Education, 9(4), 43–62.
  47. Wilson, M., Robertson, P., Cruickshank, P., & Gkatzia, D. (2022). Opportunities and risks in the use of AI in career development practice. Journal of the National Institute for Career Education and Counselling, 48(1), 48–57. https://doi.org/10.20856/jnicec.4807
  48. Yilmaz, H., Maxutov, S., Baitekov, A., & Balta, N. (2023). Student attitudes toward ChatGPT: A technology acceptance model survey. International Educational Review, 1(1), 57–83. https://doi.org/10.58693/ier.114
  49. Zou, M., & Huang, L. (2023). To use or not to use? Understanding doctoral students’ acceptance of ChatGPT in writing through technology acceptance model. Frontiers in Psychology, 14, 1259531. https://doi.org/10.3389/fpsyg.2023.1259531