TY - GEN
T1 - Towards a Pragmatic and Theory-Driven Framework for Multimodal Collaboration Feedback
AU - Boothe, Maurice
AU - Yu, Collin
AU - Lewis, Armanda
AU - Ochoa, Xavier
N1 - Publisher Copyright:
© 2022 ACM.
PY - 2022/3/21
Y1 - 2022/3/21
N2 - This paper proposes an overarching framework for automated collaboration feedback that bridges theory and tool as well as technology and pedagogy. This pragmatic and theory-driven framework guides our thinking by outlining the components involved in converting theoretical collaboration constructs into features that can be automatically extracted and then converted into actionable feedback. Focusing on the pedagogical components of the framework, the constructs are validated by mapping them onto a selection of multi-disciplinary collaboration frameworks. The resulting behavioral indicators are then applied to measure collaboration in a sample scenario and those measurements are then used to exemplify how feedback analytics could be calculated. The paper concludes with a discussion on how those analytics could be converted into feedback for students and the next steps needed to advance the technological part of the framework.
AB - This paper proposes an overarching framework for automated collaboration feedback that bridges theory and tool as well as technology and pedagogy. This pragmatic and theory-driven framework guides our thinking by outlining the components involved in converting theoretical collaboration constructs into features that can be automatically extracted and then converted into actionable feedback. Focusing on the pedagogical components of the framework, the constructs are validated by mapping them onto a selection of multi-disciplinary collaboration frameworks. The resulting behavioral indicators are then applied to measure collaboration in a sample scenario and those measurements are then used to exemplify how feedback analytics could be calculated. The paper concludes with a discussion on how those analytics could be converted into feedback for students and the next steps needed to advance the technological part of the framework.
KW - collaboration analytics
KW - learning collaboration
KW - teaching collaboration
UR - http://www.scopus.com/inward/record.url?scp=85126192300&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85126192300&partnerID=8YFLogxK
U2 - 10.1145/3506860.3506898
DO - 10.1145/3506860.3506898
M3 - Conference contribution
AN - SCOPUS:85126192300
T3 - ACM International Conference Proceeding Series
SP - 507
EP - 513
BT - LAK 2022 - Conference Proceedings
PB - Association for Computing Machinery
T2 - 12th International Conference on Learning Analytics and Knowledge: Learning Analytics for Transition, Disruption and Social Change, LAK 2022
Y2 - 21 March 2022 through 25 March 2022
ER -