Research Publications

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Has files: YesSubject: search.filters.subject.Computer Programming

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    Modeling the ICT Teachers’ Perspective on Teaching of Computer Programming at Secondary School Level
    (Faculty of Humanities and Sciences, SLIIT, 2022-09-15) Perera, K.G.S.K.
    Computer programming is viewed and experienced as a subject cognitively challenging to students as well as teachers. The aim of this study was to determine the ICT teachers’ perspective on teaching computer programming in order to comprehend how ICT teachers perceive teaching computer programing and the factors that influence their work. Forty-seven ICT teachers participated in this qualitative study. The research method used was an analytical framework known as Interactive Qualitative Analysis to model the ICT teachers’ perspective. The perspective was modelled in terms of factors (affinities) as programming curriculum, ICT resources, time, programming language, evaluation, students’ performance, teachers’ programming knowledge, teachers’ pedagogical programming knowledge, student and professional development programs. Further, the interaction among these affinities was also modelled.
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    Online learning resources finder based on computer programming domain
    (IEEE, 2018-12-21) Somadasa, K; Karunadhipathi, M; Wickramasinghe, N; Subasingha, S; Kodagoda, N; Suriyawansa, K
    With the huge growth of the internet, the amount of content on the internet also grown. Within that context, there are many irrelevant contents spread within the internet for a given topic. Therefore, it is very hard to find accurate, informative learning resources. Even though there are some search engines available, the job they do is very generic and provide millions of search results. Finding the most important learning content within a large set of search results is an extremely difficult task. The solution proposed in this paper addresses this issue. The learner can search for what is required and the system would filter both text and video content across the internet to provide the most relevant content. This paper describes how a textual resource finder was implemented based on ontologies, Euclidean distance, and the TF-IDF algorithm. The video content analyzer used a deep learning algorithm. The solution was developed for learners in the Computer Programming domain.