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|Title:||Synergies Between Humans and Machines to Support the Orchestration of CSCL Scripts at Different Scales|
|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.|
|Appears in Collections:||ISLS Annual Meeting 2021|
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