RT info:eu-repo/semantics/bookPart
T1 Synergy: A Web-Based Tool to Facilitate Dialogic Peer Feedback
A1 Er, Erkan
A1 Dimitriadis Damoulis, Ioannis
A1 Gašević, Dragan
K1 Dialogic feedback
K1 Learning analytics
AB The goal of this demonstration session is to introduce Synergy, a platform to help design and implement dialogic feedback practices. Synergy is grounded in a theoretical framework of dialogic feedback, which suggests an ongoing dialogue among the peers (providing feedback) and the target student (receiving feedback). Synergy allows instructors to create multiple review sessions with specific tasks depending on the role as feedback receiver or provider. Peer review activities are organized around three phases, in accordance with theoretical framework. Using Synergy, peers in the first phase assess student work, discuss together to align their perspectives toward the quality of the work. Then, the peers create feedback tasks (to identify who gives which feedback). In the second phase, Synergy enables peers to provide the intended feedback (based on the feedback tasks) and to build dialogue with the target student. During dialogue, in collaboration with peers, Synergy allows students to identify learning actions to translate the feedback received into concrete progress. In the last phase, when students perform the planned actions, Synergy tracks student engagement and progress per each action and also allows the students to set their progress manually. Synergy is enhanced with Learning Analytics tools to support the feedback processes During the demo, we will show interactively the use case of how Synergy can help design and facilitate dialogic peer feedback.
PB Springer
SN 978-3-030-29736-7
YR 2019
FD 2019
LK http://uvadoc.uva.es/handle/10324/43226
UL http://uvadoc.uva.es/handle/10324/43226
LA eng
NO Er E., Dimitriadis Y., Gašević D. Synergy: A Web-Based Tool to Facilitate Dialogic Peer Feedback. In: Scheffel M., Broisin J., Pammer-Schindler V., Ioannou A., Schneider J. (eds) Transforming Learning with Meaningful Technologies. EC-TEL 2019. Lecture Notes in Computer Science, vol 11722. https://doi.org/10.1007/978-3-030-29736-7_72
NO Producción Científica
DS UVaDOC
RD 19-abr-2024