Research Publications

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    PublicationOpen Access
    Examining Teacher Readiness for Blended Learning: A Case Study in a Sri Lankan Government 1AB School
    (School of Education, Faculty of Humanities and Sciences, SLIIT, 2025-10-10) Kumarihamy, W; Kumara, L
    The integration of Blended Learning (BL), where traditional face-to-face instruction combines digital and online tools into general education, has become increasingly significant with the COVID-19 pandemic to ensure the continuity of education. BL provides flexible, personalized education that promotes student responsibility and digital literacy, but a gap remains between Sri Lanka’s policy goals and teachers’ potential to implement them. This article explores teacher readiness for implementing the BL approach at a Sri Lankan Government 1AB school, focusing how teachers express their preparedness for BL in terms of digital skills, pedagogical strategies, andresource availability; challenges teachers face when implementing BL; and support systems and resources required to enhance teacher effectiveness as research objectives. A qualitative research methodology was employed, and datawere collected from six teachers representing different subject disciplines in grades 6-11 through semi-structured interviews. The responses were thematically analyzed to identify key patterns and themes. According to the findings, participants are open and positive towards BL, but limited resources and infrastructure, a lack of subjectspecificdigital content, language barriers, and a lack of training on digitalization and education technology hinder its effectiveness. Resource limitations led teachers to utilize their personal devices, which is a privacy concern between work and personal life affairs, and they must depend on freely available learning management platformssuch as e-Thaksalawa and DP education. Digital tools are mainly used for content delivery and communication,with the least utilization for assessment and interactive learning. The study highlights the need for improved infrastructure, ongoing professional development, supervision, and contextualized pedagogical innovations, offering key insights for policymakers, educational leaders, and teacher educators to foster an inclusive, technology-enabled education system in Sri Lanka.
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    PublicationOpen Access
    Determinants of Adoption of Artificial Intelligence for Business Sustainability: A Study of Small Businesses in Jaffna
    (SLIIT City UNI, 2025-07-08) Inthu, M; Jeyaramanan, S; Nimalathasan, B
    This study aims to examine the Determinants of the adoption of Artificial Intelligence for Business Sustainability in small businesses in Jaffna. In that context, a deductive approach is employed by the researcher, and data from 72 small businesses in Jaffna. The purposive sampling was used by the researchers. In that context, the data were collected for a business that has potential for digital innovation. As the researcher employed a purposive sampling method, it is ensured that participants who could meaningfully respond to AIrelated questions were selected, given the region’s varied levels of technological awareness. The closed-ended, structured Likert Scale questionnaire was used by the researcher to collect the data. Awareness of AI adoption, Digital Skills, technological infrastructure, and perceived economic benefits are considered independent variables of the study, while business sustainability is considered a dependent variable of the study. The researcher used the SPSS package to analyze the data and the Kolmogorov– Smirnov test, reliability test, correlation analysis, Variance Inflation Test run by the researchers. Among the predictors, the perceived economic benefits (B = 0.395, p = 0.001) have a statistically positive relationship with business sustainability. Followed by Awareness of AI Adoption, which has a statistically positive relationship with business sustainability (B = 0.312, p = 0.004). Furthermore, Digital skills (B = 0.271, p = 0.015) and technological infrastructure (B = 0.219, p = 0.037) also have statistically significant positive effects, highlighting the importance of digital capacity. Additionally, perceived economic benefits have a statistically positive relationship with sustainable business practices.