On the Importance of the Impact Analysis of Social Network Methods in Elearning PROCEEDINGS
Seid Maglajlic, RailNetEurope, Austria
E-Learn: World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education, in Honolulu, Hawaii, USA ISBN 978-1-880094-90-7 Publisher: Association for the Advancement of Computing in Education (AACE), Chesapeake, VA
The involvement of social networks in elearning, whether implicit or explicit, has been under scientific investigation for several years already. The recognition of their implicit involvement in elearning setups was actually very intuitive. The attempts to apply a social network model to the structuring of users in elearning systems have led to conclusions that taking social network methodologies into consideration can hardly be avoided in future elearning setups. The analysis until now has been focused on structuring the learners and/or teachers into collaborative units. The issue that is unfortunately still missing is the analysis of the impact of the new social network-based structure on the learning outcome of the trainees. To put it more simply, we are currently not able, on the basis of previous research findings, to conclude whether the learners have really learned more than if they had not been organised according to social network modeling.
Maglajlic, S. (2011). On the Importance of the Impact Analysis of Social Network Methods in Elearning. In C. Ho & M. Lin (Eds.), Proceedings of E-Learn: World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education 2011 (pp. 749-752). Chesapeake, VA: Association for the Advancement of Computing in Education (AACE).
© 2011 AACE