Veröffentlichungen

@inproceedings{9853790,

title = {A Framework for Analyzing Interactions in a Video-based Collaborative Learning Environment},

author = {André Helgert and Anil Canbulat and Andreas Lingnau and Carolin Straßmann},

doi = {10.1109/ICALT55010.2022.00045},

issn = {2161-377X},

year  = {2022},

date = {2022-07-01},

urldate = {2022-07-01},

booktitle = {2022 International Conference on Advanced Learning Technologies (ICALT)},

pages = {125-127},

abstract = {Studying in social isolation is a reality for many students that was further reinforced after the start of the COVID-19 pandemic. Research shows that isolation can lead to decreased learning efficiency and is intensified by the increased asynchronous online teaching during the pandemic. This change is not only challenging for students, but also for teachers, as students do not have a direct communication and feedback channel when learning content is presented in form of pre-recorded videos in a learning management system. In this paper, we present VGather2Learn Analytics, which is an extension to the already existing collaborative learning system VGather2Learn, which makes it possible for teachers to analyse the learning behavior of students in asynchronous video-teaching. The information presented in a dashboard will allow teachers to better understand how students interact while watching learning videos collaboratively and can improve online-teaching.},

keywords = {COVID-19;Learning management systems;Pandemics;Distance learning;Collaboration;Collaborative work;Behavioral sciences;Learning Analytics;Computer-supported Collaborative Learning;Social Learning},

pubstate = {published},

tppubtype = {inproceedings}

}