Research Papers - Dept of Information of Management

Permanent URI for this collectionhttps://rda.sliit.lk/handle/123456789/607

Browse

Filters

2021 - 20253

Advanced Search

Filter by

Settings

Has files: YesSubject: search.filters.subject.Education

Search Results

Now showing 1 - 3 of 3
  • Thumbnail Image
    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.
  • Thumbnail Image
    PublicationOpen Access
    Breaking the cycle: long-term socio economic determinants of child labour in SAARC countries
    (BioMed Central Ltd, 2025-11-19) Magammana, T; Muthugala, H; Bandara, A; Perera, A; Jayathilaka, R
    Background: Child labour remains a critical issue in SAARC countries, driven by various socio-economic factors. While previous studies have explored individual determinants, limited research has been conducted on their collective long-term impact. Understanding how structural and economic conditions shape child labour trends is essential for designing effective policy interventions. Methods: This study engages panel cointegration techniques to examine the long-term relationship between child labour and key socio-economic drivers in SAARC countries. It assesses the impact of education, access to healthcare, economic conditions, labour market dynamics, foreign investment, and urbanisation on the prevalence of child labour. Results: The findings confirm a stable, long-term relationship between child labour and these determinants in each SAARC country. Improvements in education and health significantly reduce child labour. However, economic growth and urbanisation have complex, country-specific effects. Higher unemployment and increased FDI may also influence child labour, emphasising the need for targeted policy responses. Conclusions: The study highlights the significance of ongoing investments in education and healthcare. Labour market reforms are crucial to mitigate the impact of unemployment, while inclusive economic policies ensure that growth benefits vulnerable populations. Targeted strategies for FDI and urbanisation are necessary to prevent unintended consequences on child labour. Combating child labour in SAARC countries requires a multi-sectoral approach. Regional collaboration is crucial for sharing best practices, developing unified strategies, and enhancing cross-border initiatives. Holistic policies integrating education, health, and economic planning are key to reducing child labour.
  • Thumbnail Image
    PublicationEmbargo
    Factors Affecting Academic Performance of People with Visual Disabilities in the Tertiary Sector
    (Faculty of Humanities and Sciences,SLIIT, 2021-09-25) Suraweera, T; Wickramarachchi, C; Dewage, N; Gunawardana, M; Nanayakkara, T; Yapa, N; Handapangoda, R; Wickramarachchi, C
    The role of education in enriching people’s lives is an undisputed fact. Most past studies have been conducted on the factors affecting academic performance focused on the sighted learners engaged in education in the academic systems. Given that the persons with disabilities are guarded/protected comparatively better in the Western word than in the developing nations, achieving academic goals for visually handicapped persons could be further challenging. This research is aimed at exploring the critical factors influencing academic performance of visually handicapped persons in Universities of Sri Lanka, a developing nation. Adopting a qualitative approach, eleven persons were purposely selected to represent varying levels of academic achievements in universities as case study subjects. The data collected through in-depth semi-structured interviews were analysed mainly through thematic analysis. Having a clear understanding of the key elements influencing academic performance of persons who are visually handicapped could make a significant difference to this community and is an eye opener for the policy makers in the tertiary education sector.