Synergies between humans and machines to support the orchestration of CSCL scripts at different scales

Amarasinghe, Ishari; Hernández Leo, Davinia

Synergies between humans and machines to support the orchestration of CSCL scripts at different scales

Citation

Amarasinghe I, Hernández-Leo D. Synergies between humans and machines to support the orchestration of CSCL scripts at different scales. In: Hmelo-Silver CE, De Wever B, Oshima J, editors. Proceedings of the 14 th International Conference on Computer-Supported Collaborative Learning (CSCL); 2021 Jun 7-11; Bochum, Germany. Indiana: ISLS; 2021. p. 279-80.

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.

Description

Comunicació presentada a: 14th International Conference on Computer-Supported Collaborative Learning (CSCL) celebrada del 7 a l'11 de juny de 2021 a Bochum, Alemanya.