Please use this identifier to cite or link to this item: https://repository.isls.org//handle/1/7343
Title: Synergies Between Humans and Machines to Support the Orchestration of CSCL Scripts at Different Scales
Authors: Amarasinghe, Ishari
Hernández-Leo, Davinia
Keywords: CSCL
Issue Date: Jun-2021
Publisher: International Society of the Learning Sciences
Citation: Amarasinghe, I. & Hernández-Leo, D. (2021). Synergies Between Humans and Machines to Support the Orchestration of CSCL Scripts at Different Scales. In Hmelo-Silver, C. E., De Wever, B., & Oshima, J. (Eds.), Proceedings of the 14th International Conference on Computer-Supported Collaborative Learning - CSCL 2021 (pp. 279-280). Bochum, Germany: International Society of the Learning Sciences.
Abstract: This study presents the orchestration challenges associated with scripted collaborative learning situations at different scales and how different Learning Analytics (LA) interventions may facilitate to address those issues. The proposed LA interventions were characterised as machine-in-control, human-in-control and hybrid approaches given different agents in charge of orchestration actions. A framing of the proposed LA interventions is presented considering also the different scales within which those interventions were deployed, in an attempt to seek the balance between different types of interventions.
URI: https://doi.dx.org/10.22318/cscl2021.279
https://repository.isls.org//handle/1/7343
Appears in Collections:ISLS Annual Meeting 2021

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