Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.12188/24110
Title: Reinforcing social media based learning, knowledge acquisition and learning evaluation
Authors: Zdravkova, Katerina 
Keywords: Collaborative and cooperative content creation; connectivism, e-learning 2.0; flipped classroom learning, gamification, open educational resources; massive open online courses.
Issue Date: 20-Jul-2016
Publisher: Elsevier
Journal: Procedia-Social and Behavioral Sciences
Abstract: The birth of current students coincides with the rise of the first social media websites, making young people the most competent and the most frequent consumers and creators of social media content. Their savoir-faire in new technologies is a great motivation to intensively use various e-learning 2.0 elements in the process of learning, teaching and knowledge acquisition. This paper presents the experience from a study that stimulates the social media elements existing in the learning environment, and reinforces the use of various techniques intended to enable focused online collaboration and knowledge acquisition. In order to support cutting edge learning, the approach stimulates a pervasive access to scholarly articles, breaking news existing online, and open educational resources. The study has been performed for almost a decade in computer ethics courses attended by senior undergraduates from the University of Skopje, Macedonia, and junior graduates from the University of Novi Sad, Serbia. The paper exhaustively overviews the simulation of the social media inclusion in the learning process, as well as the activities performed during its execution. The subjective student impression of all implemented techniques is contrasted with the teacher estimated amount of acquired knowledge. The paper also emphasizes the benefits of the implemented approach, suggestions to educationalists intending to employ it themselves, and finally the intentions of the further inclusion of social media in educational technologies.
URI: http://hdl.handle.net/20.500.12188/24110
Appears in Collections:Faculty of Computer Science and Engineering: Journal Articles

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