International Postgraduate Research Conference (IPRC)

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    A Review of Data Mining Methods for Educational Decision Support
    (Faculty of Graduate Studies, University of Kelaniya, Sri Lanka, 2016) Kasthuriarachchi, K.T.S.; Bhatt, C.M.; Liyanage, S.R.
    Data mining is a computer based information system which is devoted to scanning huge data repositories, generate information and discover knowledge. It attempts to uncover data patterns, organize information of hidden relationships, structure association rules and many more operations that cannot be performed using traditional computer based information systems. Therefore, data mining outcomes represent a valuable support for decisions making in various industries and education is one domain that can benefit from data mining. Application of data mining in education is living in its spring time and preparing for a hot summer season. Educational data mining emerges as a paradigm oriented to design models, tasks, methods, and algorithms for exploring data from educational settings. Educational Data Mining develops and adopts statistical methods, machine- learning and data mining methods to study educational data generated basically by students and educational instructors. The main goal of applying data mining in education is largely to improve learning by enabling data driven decision making for improve current educational practices and learning materials. Educational knowledge discovery, in data mining point of view can be seen as a similar process of applying the general knowledge discovery and data mining process and in experimental point of view, it can be seen as an iterative cycle of hypothesis formation, testing and refinement which not just turn data into knowledge but, also to filter the mined knowledge for decision making. There are many applications in education arena that have been resolved using data mining. There are more research studies have also been conducted under various educational problem categories and also there are a number of frequently used data mining methods use in Educational Data Mining. Various open source and commercial tools are available to apply data mining methods on the educational data. This study focuses on the identification of various educational problem domains where data mining methods can be applied and to study the suitability of the available data mining methods and the tools to perform Educational Data Mining in Sri Lankan Educational Institutes. The knowledge discovered by this review is expected to generate meaningful insight and provide guidance for important decisions made by educators.
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    Study about Utilization of ICT Teaching – Learning Tools, Among Lecturers of National Colleges of Education in Sri Lanka
    (Faculty of Graduate Studies, University of Kelaniya, Sri Lanka, 2016) Pathiratne, S.; Amarathunga, P.A.B.H.
    Science and technology play an important role in the new millennium. Tremendous explosion of knowledge in science and technology has changed the life style of people. Without science and technology we cannot go forward. CT Teaching – Learning Tools, the term will still most likely be utilized to reference out of classroom and in-classroom inculcates experiences via technology, even as advances perpetuate in regard to contrivances and curriculum. Solicitation of ICT environments progressively accommodate as paramount infrastructural features of colleges that enable edifiers to provide students with different representations of erudition and to enhance interaction between edifiers and students and among students themselves. Edifiers are essential players in promoting quality inculcation and no edification reform is liable to prosper without the active participation and ownership of edifiers. Edifiers must be able to incorporate Application of Digital Technology with the traditional learning and competent enough in Web Predicated Teaching. Ergo, Lecturers’ of Teachers Training Collages Should equipped with opportune underrating about the ICT implements. Research in this context has never been carried out in Sri Lanka afore. Main objectives of this study are to determine the Utilization of ICT Teaching – Learning Tools among Lecturers of National Colleges of Edification in Sri Lanka and to compare the utilization of ICT Tools predicated on gender. Withal to determine the Utilization of ICT Tools between English and Singhalese Medium Lecturers and Compare the Utilization based on subject stream (Arts and Science). A Sample consists of 100 Lecturers from Four Sinhala Medium and 200 Lecturers from English Medium National Colleges of Education in Western and North Western provinces of Sri Lanka. Stratified random sampling technique was followed for culling the National Colleges of Education. There are a number of college edifiers in each college. Only Arts and Science edifiers were culled following purposive sampling technique. Findings reveal that the Lecturers of National Colleges of Education in Sri Lanka are more propitious to Utilize ICT Teaching – Learning tools and male Lecturers are more propitious than Female Lecturers. Withal it was found that, there is no paramount distinction between the mean scores of Sinhala Medium and English Medium College Lecturers towards Utilization of Teaching – Learning tools and there is consequential distinction between the mean scores of Arts and Science stream among Lecturers towards Utilization of ICT Tools in Education. In Conclusion this study contributes an incipient teaching learning in the form of assessing the caliber of cognizance and Utilization of ICT Teaching – Learning Tools because the desideratum of the day is to make edifiers realize their capabilities and amend upon capabilities to avail solve the quandaries of their life through Utilization of ICT tools. Special efforts should be made in order to develop Utilization of ICT tools cognizance among the Arts Stream Lecturers and Female Lecturers. This study will be of immense use for the scholastic administrators, which will throw light upon the posture of edifiers of Higher Inculcation towards Utilization of ICT Implements.