ENGLISH MAJOR GRADUATES’ CAREERS AND ARTIFICIAL INTELLIGENCE: WORKPLACE EXPERIENCES AND IMPLICATIONS FOR EMPLOYABILITY PREPARATION

Main Article Content

Jirawoot Sararit
Pitchaya Tiyarattanachai
Kittiya Keadplang
Sunitra Sathongeay
Tanaporn Phurinan

บทคัดย่อ

This study investigates English major graduates’ career sectors, their use of Artificial Intelligence (AI) in workplace tasks, and the human skills they perceive as non-substitutable by AI. Using a mixed-methods design, data were collected through an online questionnaire from 109 graduates of a Communicative English for Business program in Thailand and supplemented by semi-structured interviews with 15 graduates from diverse employment sectors. Descriptive statistics were used to analyze survey data, while interview transcripts were summarized thematically to deepen interpretation. The findings show that most graduates were employed in service-oriented, modern trade, and health-related industries where communication and customer interaction were central. AI was widely used to support tasks including documentation, customer service, marketing, recruitment, education, administrative operations, and health-service coordination. However, graduates consistently identified core human capabilities—particularly emotion and empathy, complex problem-solving, interpersonal communication, creativity, and professional responsibility—as functions that AI could not replace. These results indicate that AI operates primarily as a supportive tool that enhances efficiency rather than replacing human roles in English-major careers. The study highlights the importance of integrating AI-blended learning approaches that combine language development with authentic and AI-supported workplace tasks while intentionally cultivating human-centered competencies to prepare graduates for sustainable employability in AI-augmented professional environments.

Article Details

รูปแบบการอ้างอิง
Sararit, J., Tiyarattanachai, P., Keadplang, K., Sathongeay, S., & Phurinan, T. (2026). ENGLISH MAJOR GRADUATES’ CAREERS AND ARTIFICIAL INTELLIGENCE: WORKPLACE EXPERIENCES AND IMPLICATIONS FOR EMPLOYABILITY PREPARATION. วารสารปัญญาภิวัฒน์, 18(1), 282–300. สืบค้น จาก https://so05.tci-thaijo.org/index.php/pimjournal/article/view/286319
ประเภทบทความ
บทความวิจัย

เอกสารอ้างอิง

Babashahi, L., Barbosa, C. E., Lima, Y., Lyra, A., Salazar, H., Argôlo, M., de Almeida, M. A., & de Souza, J. M. (2024). AI in the workplace: A systematic review of skill transformation in the industry. Administrative Sciences, 14(6), 127. https://doi.org/10.3390/admsci14060127

Clarke, M. (2018). Rethinking graduate employability: The role of capital, individual attributes and context. Studies in Higher Education, 43(11), 1923-1937. https://doi.org/10.1080/03075079.2017.1294152

Fitzgerald, J. (2025, June 24). Why soft skills still matter in the age of AI. Harvard Business School Working Knowledge. https://www.library.hbs.edu/working-knowledge/why-soft-skills-still-matter-in-the-age-of-ai

Hrastinski, S. (2019). What do we mean by blended learning? TechTrends, 63(5), 564-569. https://doi.org/10.1007/s11528-019-00375-5

Jackson, D. (2016). Re-conceptualising graduate employability: The importance of preprofessional identity. Higher Education Research & Development, 35(5), 925-939. https://www.tandfonline.com/doi/full/10.1080/07294360.2016.1139551

Manyika, J., Chui, M., Miremadi, M., Bughin, J., George, K., Willmott, P., & Dewhurst, M. (2017). Jobs lost, jobs gained: Workforce transitions in a time of automation. McKinsey Global Institute. https://www.mckinsey.com/featured-insights/future-of-work/jobs-lost-jobs-gained-what-the-future-of-work-will-mean-for-jobs-skills-and-wages

Moorhouse, B. L., & Kohnke, L. (2024). The effects of generative AI on initial language teacher education: The perceptions of teacher educators. System, 122, 103290.

Organisation for Economic Co-operation and Development. (2019). OECD employment outlook 2019: The future of work. OECD Publishing. https://www.oecd.org/en/topics/future-of-work.html

Sararit, J., Tiyarattanachai, P., Phurinan, T., Sathongeay, S., & Srisai, P. (2025). Stakeholders’ expectations for the development of English competency and essential skills for English majors under the approach of work-based education. Panyapiwat Journal, 17(1), 211-227. https://so05.tci-thaijo.org/index.php/pimjournal/article/view/277733

United Nations Educational, Scientific and Cultural Organization (UNESCO). (2023). Guidance for generative AI in education and research. https://www.unesco.org/en/articles/guidance-generative-ai-education-and-research

Weng, X., & Chiu, T. K. F. (2023). Instructional design and learning outcomes of intelligent computer assisted language learning: Systematic review in the field. Computers and Education: Artificial Intelligence, 4, 100117. https://doi.org/10.1016/j.caeai.2022.100117

World Economic Forum. (2023). The future of jobs report 2023. https://www.weforum.org/publications/the-future-of-jobs-report-2023/

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, 39. https://doi.org/10.1186/s41239-019-0171-0