A multiple constraints framework for collaborative learning flow orchestration

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• dc.contributor.author Manathunga, Kalpanica
• dc.contributor.author Hernández Leo, Daviniaca
• dc.date.accessioned 2016-10-21T17:49:20Z
• dc.date.available 2016-10-21T17:49:20Z
• dc.date.issued 2016ca
• dc.description Paper presented at ICWL 2016, 15th International Conference, Rome, Italy, October 26–29, 2016.en
• dc.description.abstract Collaborative Learning Flow Patterns (e.g., Jigsaw) offer sound pedagogical strategies to foster fruitful social interactions among learners. The pedagogy behind the patterns involves a set of intrinsic constraints that need to/nbe considered when orchestrating the learning flow. These constraints relate to the organization of the flow (e.g., Jigsaw pattern - a global problem is divided into sub-problems and a constraint is that there need to be at least one expert group working on each sub-problem) and group formation policies (e.g., groups solving the global problem need to have at least one member coming from a different previous expert group). Besides, characteristics of specific learning situations such as learners’ profile and technological tools used provide additional parameters that can be considered as context-related extrinsic constraints relevant to the orchestration (e.g., heterogeneous groups depending on experience or interests). This paper proposes a constraint framework that considers different constraints for orchestration services enabling adaptive computation of orchestration aspects. Substantiation of the framework with a case study demonstrated the feasibility, usefulness and the expressiveness of the framework.en
• dc.description.sponsorship This work has been partially funded by the Spanish Ministry of Economy and Competitiveness/n(TIN2014-53199-C3-3-R; MDM-2015-0502).en
• dc.format.mimetype application/pdfca
• dc.identifier.citation Manathunga K, Hernández-Leo D. A multiple constraints framework for collaborative learning flow orchestration. In: Dickson KW C, Marenzi I, Nanni U, Spaniol M, Temperini M, editors. Advances in Web-Based Learning – ICWL 2016. 15th International Conference, Rome, Italy, October 26–29, 2016, Proceedings. Heidelberg: Springer, 2016. p. 225-35. (LNCS, no. 10013). DOI: 10.1007/978-3-319-47440-3_25ca
• dc.identifier.doi http://dx.doi.org/10.1007/978-3-319-47440-3_25
• dc.identifier.uri http://hdl.handle.net/10230/27422
• dc.language.iso engca
• dc.publisher Springerca
• dc.relation.ispartof Dickson KW C, Marenzi I, Nanni U, Spaniol M, Temperini M, editors. Advances in Web-Based Learning – ICWL 2016. 15th International Conference, Rome, Italy, October 26–29, 2016, Proceedings. Heidelberg: Springer, 2016. p. 225-35. (LNCS, no. 10013).en
• dc.relation.projectID info:eu-repo/grantAgreement/ES/1PE/TIN2014-53199-C3-3-R
• dc.relation.projectID info:eu-repo/grantAgreement/ES/1PE/MDM-2015-0502
• dc.rights © Springer The final publication is available at Springer via/nhttp://dx.doi.org/10.1007/978-3-319-47440-3_25ca
• dc.rights.accessRights info:eu-repo/semantics/openAccessca
• dc.subject.keyword CSCLen
• dc.subject.keyword Collaborative Learning Flow Pattern(s)en
• dc.subject.keyword Macro scriptsen
• dc.subject.keyword Jigsawen
• dc.subject.keyword Learning flow orchestrationen
• dc.title A multiple constraints framework for collaborative learning flow orchestrationca
• dc.type info:eu-repo/semantics/bookPartca
• dc.type.version info:eu-repo/semantics/acceptedVersionca