Vybrané přístupy k učení se od druhých v online prostředí

Title in English Selected approaches to learning from others in the online environment
Authors

ČERNÝ Michal

Year of publication 2018
Type Article in Periodical
Magazine / Source ProInflow
MU Faculty or unit

Faculty of Arts

Citation
web http://www.phil.muni.cz/journals/index.php/proinflow/article/view/2018-2-8
Doi http://dx.doi.org/10.5817/ProIn2018-2-8
Keywords sociability; online courses; connectivism; immersive learning; MOOC; PLE; learning analytics
Description Purpose – The aim of the paper is to show the issue of sociability as one of the most difficult concoctions in theories that relate to online learning. Learning in cyberspace is a topic that is systematically explored in research, but a survey about its relation to sociability and social interactions is somewhat lacking. Design/methodology/approach – The paper initially defines the topic of online education and also tries to follow the key concepts and theories that work with it, such as connectivism, cybergetics, immersive learning, etc. It also focuses on how social interactions in the online environment can be measured and analyzed. Results – As part of the article, we demonstrate that the topic of sociability is perceived as something essential in online learning, although the eyes of classical pedagogues might seem to lead to a weakening of social relationships and interactions, from a theoretical point of view the transition from physical to digital it is rather the character of transformation, leading to other possibilities of communication and cooperation. Originality/value – At the end of the paper, we are attempting to briefly point out the phenomenon of social learning analytics, which is an approach to learning analysis associated with studying how students work in a learning environment towards more advanced data analytics tools, social network analytics, or web analytics, as the virtual learning environment is not delimited primarily by the educational tool, but has a decentralized distributed platform character.

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