SLIIT Business School-Scopus

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    Transformative Impact of Predictive and Generative AI on Education Workforce in Developing Countries
    (Institute of Electrical and Electronics Engineers Inc., 2025) Weligodapola, M; Kumarapperuma, C.U
    This study investigates the transformative impact of predictive and generative artificial intelligence (AI) on the education workforce in developing countries, focusing on its challenges, opportunities, and implications. Utilizing a qualitative case study approach, we explored the AI's impacts, challenges, and opportunities on work within the education sector in ten educational institutions across three countries, through qualitative data collection methods, including semi-structured interviews, observations, informal discussions, and focus group discussions with students, lecturers, and administrative staff. The findings highlight the role of AI in revolutionizing pedagogy, enhancing student engagement, and optimizing administrative workflows. Educators reported improvements in teaching strategies driven by AI-powered adaptive learning platforms and AI-generated resources, which enable personalized and dynamic learning experiences. However, the research also revealed key challenges, such as resistance to AI adoption, concerns over data privacy, and infrastructure limitations that hinder effective integration. A cross-case analysis emphasized the evolving role of educators, highlighting shifts in teacher-student dynamics and potential increases in job satisfaction, tempered by new responsibilities. While students benefit from personalized learning paths, they also face hurdles related to digital literacy and unequal access to AI-driven resources. Ethical considerations around AI deployment emerged as critical, underscoring the need for clear guidelines and strong policies. The study concludes by offering recommendations for educational institutions, policymakers, and AI developers to collaborate in fostering an innovative, inclusive, and ethically responsible educational landscape. Future research is encouraged to expand on these findings across different educational contexts and explore the long-term effects of AI on teaching, learning, and workforce dynamics.