Business School Q1

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    PublicationEmbargo
    Exploring the Usage of AI Tools in Education: Insights from Gen Z Undergraduates in Sri Lanka
    (University of Nigeria Department of Mass Communication, 2025-06-02) Nishshanka, N; Karunarathna, N; Dayapathirana, N; Karunarathna, R. V; Hewage, H. K; Anthony, P
    Background: This study investigates the patterns of use and adoption of AI tools in Sri Lanka, with a special emphasis on Generation Z undergraduates who will enter the industry next. As AI is an emerging technology, how this generation interacts with and enriches knowledge through AI tools becomes a vital area of concern. Objective: To identify key subjective factors influencing the adoption and usage of AI tools in education among Gen Z undergraduates in Sri Lanka. Methodology: This study employs qualitative research methods, specifically semi-structured interviews, to gather insights from 18 university students across various disciplines. Thematic analysis was used to identify recurring themes related to undergraduates' subjective experiences, benefits received, and attitudes, for which MAXQDA is used as the analytical software. Results: The findings demonstrate four key subjective factors that influence adoption and usage, such as academic work, awareness and adoption, challenges and risk, and helpful and supportive factors. The frequently used AI tool in Sri Lanka was noted as ChatGPT, which showed a high usage pattern in the analysis. Conclusion: Understanding the usage patterns and adoption factors helps the community use AI tools effectively, as it makes them aware of the risks and helpful factors. Also, the facilities that aid in adopting these AI tools could elevate the efficiency of their usage by making many students, future undergraduates, AI developers, and educational institutions aware of its benefits. Unique Contribution: This research provides insights for future research by helping to understand the usage of emerging AI tools among Gen Z undergraduates in a developing country like Sri Lanka. The findings can be applied to understanding different generations and emerging generations, such as Generation Alpha.
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    PublicationOpen Access
    Factors influencing migration intention of undergraduates in Sri Lanka: ‘About more than employment
    (Elsevier Ltd, 2026-01-26) Marawila, R; Weerarathna, R; Rathnayake, N; Guruge, R; Wehella, B; Udugahapattuwa, T; Weligodapola, M
    The objective of this study is to examine the factors influencing Sri Lankan undergraduates' intention to migrate. Persistent economic, social, and political challenges have driven many youngsters and professionals to leave their Country of Origin (COO). The economic collapse triggered by COVID-19 further intensified this trend, leading to a sharp increase in outward migration. Recently, a growing number of Sri Lankan undergraduates and skilled professionals have expressed a strong desire to relocate abroad, often immediately after completing secondary education. For this study, a sample of 385 undergraduates from state and non-state universities across Sri Lanka was analysed. Given the national concerns of brain drain and shortages of trained and skilled workers, the study specifically focused on understanding undergraduates' aspirations to migrate. Structural Equation Modeling (SEM) was applied to identify and test the variables influencing migration intentions within the Sri Lankan context. The findings provide a holistic picture of the drivers of undergraduate migration. These carry important implications not only for students but also for policymakers and Higher Education Institutions (HEIs), by informing policies and strategies that could encourage young people to realise their potential within Sri Lanka rather than abroad.