Research Papers - Dept of Software Engineering

Permanent URI for this collectionhttps://rda.sliit.lk/handle/123456789/1022

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    MOOCRec 2 for Humanities-Learning Style Based MOOC Recommender and Search Engine
    (IEEE, 2019-12-05) Fazuludeen, F; Vijayakumaran, G; Mahroof, Z. A; Kodagoda, N; Suriyawansa, K
    Introduction of Massive Open Online Courses (MOOC) has a great impact on the e-learning sector. Further, MOOC platforms like Coursera, EdX, and Future Learn have made learning accessible to millions of people for free. Also, availability of such platforms has become a blessing and a burden to people since users cannot find the right courses that suits them due to the availability of similar topic of courses in different platforms. Moreover, MOOCRec Humanities is a curated search platform for these courses. Further, MOOCRec tries to address this problem by considering the learning style of user and matching them with the right courses. Additionally, the courses are mapped using VARK learning model. For the mapping purpose, course video styles and course practical content such as quizzes and reading materials are considered. In addition, users can search individual topics that can be covered in a course.
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    MoocRec: Learning styles-oriented MOOC recommender and search engine
    (IEEE, 2019-04-08) Aryal, S; Porawagama, A. S; Hasith, M. G. S; Thoradeniya, S. C; Kodagoda, N; Suriyawansa, K
    Massive Open Online Courses (MOOCs) are the new revolution in the field of e-learning, providing a large number of courses in different domains to a wide range of learners. Due to the availability of several MOOC providers (including edX, Coursera, Udacity, FutureLearn), a specific domain has multiple courses spread across these platforms that confuses a learner on selecting the most suitable course for him. It is a tedious manual task for the learner to browse through various courses before he finds the best course that meets his learning requirements and objectives. MoocRec is a unique learning styles-oriented system that recommends the most suitable courses to a learner from different MOOC platforms based on their learning styles and individual needs. The courses are recommended based on the mapping of Felder and Silverman learning styles with the standard video styles used in MOOC videos (including talking head, slide, tutorial/demonstration). MoocRec also allows the learners to search for courses using specific topics to provide an enhanced personalized learning environment. Results show that MoocRec is strongly reliable and can be used for personalized learning.