Research Papers - Dept of Information Technology

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    Peer Learning – An Interactive and Collaborative E-Learning Application for College Students
    (IEEE, 2022-12-26) Sirithunga, H. A. P. M.; Deshan, B. G. S; Sigera, P. H. D; Udagedara, P.Y; Samarakoon, U; Kumari, S
    Since the start of the COVID-19 epidemic in 2020, the entire educational system has been challenging and Sri Lanka economic crisis, but this is especially effect for students who are now enrolled. This developmental milestone is reached when adolescents begin to assume responsibilities and acquire leadership skills through participation in a range of team activities. It is easiest to gain experience working in a group setting while still in school. Nevertheless, given the current stage of the Sri Lanka economic crisis, students will face a range of challenges. They are incapable of participating in group activities that are relevant to the subjects they teach, and, as previously indicated, enhancing their leadership skills, which is particularly problematic when working with students. The “Peer Learning” solution is a web-based application that supports students in enhancing their collaborative learning skills. Through the system, students have the opportunity to study a variety of collaborative tasks, which improves their educational and interpersonal abilities. In addition, professors can share their knowledge with students by personalizing questions, posting films, and demonstrating figures. Students can easily comprehend the system’s operation due to its user-friendly design, which enables advanced technological methods for monitoring and guiding students’ activities simultaneously.
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    An Interactive E-Learning Tool
    (IEEE, 2022-07-18) Kodagoda, D. G; Ishara, K.G.R.U; Kumara, R. M. R. P; Dilshan, W. A. D.T; Weerasinghe, L; Premadasa, N
    Use of E-learning systems has surged immensely during the Covid-19 pandemic, which started around 2020. This research specifically conducted to introduce novel features with the purpose of enhancing traditional E Learning platforms. The suggested features are namely, avoid unauthorized users from accessing private video sessions using face recognition, manipulating 3D objects by hand gestures, analyzing student’s attention using face landmarks, smart QAs using voice recognitions. These features will provide not only an enhancement for e-Learning platforms but also it will improve user experience, efficiency, and effectiveness of current tools up to a certain distinguishable level.