ICBI 2024 - Doctoral Colloquium

Permanent URI for this collectionhttp://repository.kln.ac.lk/handle/123456789/28996

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Author: search.filters.author.Ediriweera C.

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    AI Tools Adaptation on Student Performance in the Higher Education Industry of Sri Lanka: A Systematic Review
    (Faculty of Commerce and Management Studies University of Kelaniya., 2024-11-01) Ediriweera C.; Yatigammana M.R.K.N.
    The main purpose of this study is to identity the use of AI tools in promoting student performance in higher education institutions. This study followed a systematic literature review method. A total of 101 articles were selected for the final analysis process. These were followed the inclusion criteria decided by the researcher. Four themes were developed based on the research questions. First theme was the impact of AI tools on student performance in higher education institutes. According to analysis, it was identified that use of AI tools can enhance the learning process and student engagement which can improve the student performance. Main AI tools used in higher education were Chat GPT, and Gen AI which was identified under the analysis of second theme. According to the analysis, the main Perceived Benefits of using AI were effective learning and teaching process, and personalized learning facilities. However, there were several ethical issues in universities in using AI for education (Theme 03). Further, it was highlighted that positive attitudes and investment in infrastructure is crucial for implementing AI in higher education. Based on the findings, it was suggested that the Sri Lankan policymakers and university administrations should develop policies to promote ethical use AI tools (ChatGPT) to promote student performance. Providing training sessions for both students and educators on effectively using Chat GPT and Gen AI for research, collaboration, and assignment assistance can further enhance learning outcomes. In future, researchers can incorporate demographic factors and socio economic to identify its impact on use of AI tools in education.
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    Leveraging AI-driven Meta-cognitive Strategies for Sustainable Education in Sri Lanka
    (Faculty of Commerce and Management Studies University of Kelaniya., 2024-11-01) Ediriweera C.; Fernando M.T.; Pramudika H.
    This study was done with the main purpose of identifying the effects of Meta-cognitive Strategies for Sustainable Education through the use of AI in Sri Lanka. The conceptual framework was built based on the previous literature findings. Leveraging AI was considered as the mediator variable of the developed conceptual framework. Data collection was done using a questionnaire. Sample size was 384 students who are following their higher education. Data was analysed using SPSS and Smart PLS SEM. Validity and reliability of the measurements were achieved. According to the data analysis results, it was clear that the meta-cognitive strategies can independently enhance the sustainable education and the same result can be achieved through the use of AI. However, when the AI is integrated, the effect of meta-cognitive strategies on sustainable education reduced. This indicated poor knowledge in leveraging AI among the students. It was recommended that the universities should promote meta-cognitive strategies of the students leveraging AI to promote sustainable education in Sri Lanka. Further, the universities should arrange programmes to increase the AI literacy among students in Sri Lanka. Future researchers can combine both qualitative and quantitative methods to obtain the outcomes and it is better to consider primary and secondary students to improve the generalizability of the findings.