The recommendation mechanism for social learning environment
by Martin M. Weng; Jason C. Hung; Jing-De Weng; Timothy K. Shih
International Journal of Computational Science and Engineering (IJCSE), Vol. 13, No. 3, 2016

Abstract: Although traditional e-learning has limitations of time and space, 'OpenCourseWare' further breaks through the limitations of classrooms and schools. It has given rise to a trend of online schools, with several famous universities even willing to provide credit on OpenCourseWare. However, because of the lack of help from teachers directly by online learning, it is very important for students to receive more suitable learning content for them. Other important issues include how the learning communities formed in this environment can aid in students' learning activities and how to design interactive learning mechanisms for social learning. In this research, we integrate an e-learning system with an existing social networking site, aiming to bring the power of social networks to an OpenCourseWare environment. Further, we analyse learning portfolios according to the social relationships created on social networking sites. This method provides recommendations for social learning, which can help students to choose suitable courses and engage in interactive discussion with other students.

Online publication date: Tue, 06-Sep-2016

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