Research Publications Authored by SLIIT Staff
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This collection includes all SLIIT staff publications presented at external conferences and published in external journals. The materials are organized by faculty to facilitate easy retrieval.
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Publication Open Access LEARNING STYLES BASED CHECKLIST FOR INSTRUCTIONAL MATERIAL FEATURES IN E-LEARNING(researchgate.net, 2020-03) Suriyawansa, K; Kodagoda, NE-learning is a rapidly growing industry with a large number of users around the globe. The learning process of e-learning mainly depends on different learning techniques of instructional materials provided in the learning environment. Learning materials are the key component of comprehending information in an e-learning environment. Thus, it is vital to develop e-learning learning materials that are beneficial for the target learners. Different learners have different preferences in learning. Several learning style models have proposed over the years to define the different characteristics of different types of learners. This paper describes seven such learning style models and define learner characteristics focused on each of these models. Then the defined characteristics of each learner style in all seven learning style models are tabularized to emphasize the overlaps of learner characteristics focused in different learning style models. As the next step, a list of unique learner characteristics with reference to learning styles was defined using the information in the table with all learner characteristics. This paper also defines features available in e-learning materials. At present, MOOCs (Massive Open Online Course) can be defined as the key pillar of e-learning. Thus, several MOOCs provided by Coursera platform were analyzed to derive features of e-learning materials or elearning environments. The identified unique learner characteristics of learning styles are then mapped with the list of features in learning materials in an e-learning environment. The final result of this research is a checklist which can be used by e-learning content developers to classify how the instructional materials are effective for the target learners. This checklist defines the satisfied learning styles of all seven learning style models by each identified feature of e-learning instructional materials. It can be used as a guideline for e-learning content developers to determine the features that has to be included in the learning materials to provide an effective learning environment for the target learnersPublication Embargo APlus: An Intelligent Lecture Delivery System using Artificial Intelligence Learning Analytics(2021 3rd International Conference on Advancements in Computing (ICAC), SLIIT, 2021-12-09) Kodagoda, C.; Kodagoda, V.; Ekanayake, R.; De Silva, N.; Wijesundara, M.; Atapattu, P.As technology advances, new ways of teaching and learning can be discovered. Online learning platforms are able to provide easy, informative, and effective methods of delivering information since people are getting more accustomed to the use of e-learning. With the help of Artificial Intelligence, these methods can be refined to understand the users on a deeper level and provide services that are helpful and are more tailored to each user. The purpose of this project is to design an e-learning platform equipped for both educators and students. The system will be able to allow users to record/upload lecture sessions and other related study materials to the service which in return, with the use of Artificial Intelligence, try to understand the context of each lesson, segment videos, generate questions and deliver the materials to the Learner. The system will use various inputs from the Learner including video observation time, watched duration, types of videos watched, answers for questions, etc. to build a comprehensive profile of Learners. The system will use the knowledge gathered to provide services such as recommendations to the Learner, track the progress of the Learner as well as provide useful statistics of lecture materials to the Content Providers.