dc.contributor.author
Amarasinghe, Ishari
dc.contributor.author
Hernández Leo, Davinia
dc.date.issued
2021-10-01T08:20:12Z
dc.date.issued
2021-10-01T08:20:12Z
dc.identifier
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
978-1-7373306-2-2
dc.identifier
http://hdl.handle.net/10230/48551
dc.description.abstract
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.abstract
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
application/pdf
dc.format
application/pdf
dc.format
application/pdf
dc.publisher
International Society of the Learning Sciences
dc.relation
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.relation
info:eu-repo/grantAgreement/ES/2PE/TIN2017-85179-C3-3-R
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.rights
info:eu-repo/semantics/openAccess
dc.subject
Computer-Supported Collaborative Learning
dc.subject
Learning analytics
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.type
info:eu-repo/semantics/publishedVersion
