Research Publications
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Publication Open Access Google Trends Analysis of Online Interest in English Language Learning in Sri Lanka (2011-2024)(Faculty of Humanities and Sciences, SLIIT, 2024-12-04) Rodrigo, W. A. I.Online search trends for English language learning may reveal evolving preferences and demands for language acquisiti on in the modern day. This study explored the online interest in English language learning among internet users in Sri Lanka from 2011 to 2024, uti lizing Google Trends data to analyze search behaviors. Temporal and geographical variati ons in relati ve search volumes for selected search terms related to English language learning were examined. According to search trends, public interest in courses, classes, diplomas, and degrees in English has gradually increased over ti me, then dropped temporarily in the initi al phase of the pandemic, only to rise again to a plateau between 2022 and 2024. Regional analysis highlighted dispariti es in interest levels across diff erent provinces; interest in the term ‘learn English’ was most prominent in the Western Province; interest in English courses and diplomas was highest in Sabaragamuwa Province. In terms of seasonal variati ons, peak search volumes for most terms before the pandemic were in September and January, whereas aft er the pandemic, peak interest occurred in February and September. Concerning subject areas, a shift in interest towards English literature compared to English as a Second Language and Linguisti cs was seen. With regard to the English language profi ciency tests, a clear drop in interest for IELTS occurred during the pandemic, but with the economic recession and the migrati on of professionals that followed, interest in the IELTS spiked in 2022 and 2023, only to decline again aft erwards. This research contributes to the understanding of how online resources and global events infl uence language learning trends, off ering valuable insights for policymakers and educators.Publication Embargo Learning Assistant To Acquire The Fundamental Language Skills for Non-Native Learners Using AI(2020 2nd International Conference on Advancements in Computing (ICAC), SLIIT, 2020-12-10) Srikanthan, P.; Nizar, R.; Ravikumar, A.; Lalitharan, K.; Harshanath, S.M.B.; Alosius, J.The ability to speak and learn a language properly requires good practice, experience and good learning strategies but the existing solutions do not provide proper guidance to learn a language with instant feedback. This research is an approach to devise an improved language learning assistant with practices that will help to improve the fundamental language skills for non-native learners and children who are in the early stage of their education. The four main skills focused on this application will be conversation, pronunciation, listening and grammatical skills. The implementation of this research is done by using technologies like natural language processing, machine learning, and deep learning approaches to come up with components to train the learner. The solution of this research is delivered by using a cross-platform application called GLIB which facilities to improve all the English language skills mentioned above along with guides, tips, practices, and feedback based on an evaluation to improve the English language.