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

Amarasinghe, Ishari; Hernández Leo, Davinia

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dc.contributor.author	Amarasinghe, Ishari
dc.contributor.author	Hernández Leo, Davinia
dc.date.accessioned	2021-10-01T08:20:12Z
dc.date.available	2021-10-01T08:20:12Z
dc.date.issued	2021
dc.identifier.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.
dc.identifier.isbn	978-1-7373306-2-2
dc.identifier.issn	1573-4552
dc.identifier.uri	http://hdl.handle.net/10230/48551
dc.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.
dc.description.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.
dc.description.sponsorship	This work has been partially funded by FEDER, the National Research Agency of the Spanish Ministry of Science, Innovations and Universities MDM-2015-0502, TIN2017-85179-C3-3-R. Davinia Hernández-Leo acknowledges the support by ICREA under the ICREA Academia programme.
dc.format.mimetype	application/pdf
dc.language.iso	eng
dc.publisher	International Society of the Learning Sciences
dc.relation.ispartof	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.
dc.rights	Paper published with all rights reserved © 2021 International Society of the Learning Sciences, Inc. [ISLS]. Proceedings available at: https://2021.isls.org/proceedings/. Poster licensed under a Creative Commons License (BY-NC-ND 4.0 International). https://creativecommons.org/licenses/by-nc-nd/4.0/
dc.title	Synergies between humans and machines to support the orchestration of CSCL scripts at different scales
dc.type	info:eu-repo/semantics/conferenceObject
dc.subject.keyword	Computer-Supported Collaborative Learning
dc.subject.keyword	Orchestration
dc.subject.keyword	Learning analytics
dc.relation.projectID	info:eu-repo/grantAgreement/ES/2PE/TIN2017-85179-C3-3-R
dc.rights.accessRights	info:eu-repo/semantics/openAccess
dc.type.version	info:eu-repo/semantics/publishedVersion