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Evolution of the Conversation and Knowledge Acquisition in Social Networks Related to a MOOC Course

机译:与MOOC课程相关的社交网络中的会话和知识获取的演变

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This paper presents a real case of tracking conversations and participation in social networks like Twitter and Google+ from students enrolled in a MOOC course. This real case presented is related to a MOOC course developed between January 12 and February 8, 2015, in the iMOOC platform, created as result of the collaboration by Technical University of Madrid, University of Za-ragoza and University of Salamanca. The course had more than 400 students and more than 700 interactions (publications, replies, likes, reshares, etc.) retrieved from the social both social networks (about 200 interactions in Twitter and 500 in Google+). This tracking process of students' conversations and students' participation in the social networks allows the MOOC managers and teachers to understand the students' knowledge sharing and knowledge acquisition within the social networks, allowing them to unlock the possibility of use this knowledge in order to enhance the MOOC contents and results, or even close the loop between the students' participation in a MOOC course and the parallel students' usage of social networks to learn, by the combination of both tools using adaptive layers (and other layers like the cooperation or gamification like in the iMOOC platform) in the eLearning platforms, that could lead the students to achieve better results in the Learning process.
机译:本文提出了一种真正的案例,追踪对话和参与像Twitter和Google +在注册MooC课程的学生中的社交网络。这一真正的案例与2015年1月12日至2015年2月8日至2015年2月8日之间的MoOC课程有关,因为Madrid of Madrid,Za-Ragoza大学和萨拉曼卡大学的合作所产生的。该课程有超过400名学生和超过700个的交互(出版物,回复,喜欢,Reshares等)从社会社交网络中检索(Twitter中的大约200个交互和Google+)。学生谈话和学生参与社交网络的跟踪过程允许Mooc经理和教师了解社交网络中学生的知识共享和知识收购,使他们能够解锁使用这些知识的可能性以增强MOOC内容和结果,甚至关闭学生参与MOOC课程的循环和并行学生的社交网络的使用,通过使用自适应层的两个工具的组合(以及与合作或游戏等其他层数)的组合在IMOOC平台中)在电子学习平台中,可以引导学生在学习过程中实现更好的结果。

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