Supporting Online Learning and Teaching with Social Annotations

dc.contributor.authorFang, Jingchao
dc.date.accessioned2023-03-17T22:48:57Z
dc.date.available2023-03-17T22:48:57Z
dc.date.issued2023
dc.description.abstractOnline learning, with advantages over traditional in-person classes such as low cost and flexibility in time and space, has become ubiquitous. However, both learners and educators may face challenges caused by the remote nature of online learning. For students and instructors, the reduced presence may cause barriers, including but not limited to a weak sense of learning within a community, hard to effectively communicate and initiate meaningful interactions, difficulty to receive timely feedback, etc. In my doctoral study, I aim to build interactive systems to help learners and instructors overcome obstacles through sharing social annotations with peers and between different stakeholders.en
dc.identifier.doi10.1145/3565967.3571751
dc.identifier.urihttps://dl.eusset.eu/handle/20.500.12015/4595
dc.language.isoen
dc.publisherAssociation for Computing Machinery
dc.relation.ispartofCompanion Proceedings of the 2023 ACM International Conference on Supporting Group Work
dc.subjectonline learning
dc.subjectknowledge transfer
dc.subjecteducational technology
dc.titleSupporting Online Learning and Teaching with Social Annotationsen
dc.typeText/Conference Paper
gi.citation.startPage42–44
gi.conference.locationHilton Head, SC, USA

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