EdCrumble, a data-enriched visual authoring design tool for blended learning

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• dc.contributor.author Albó, Laia
• dc.contributor.author Hernández Leo, Davinia
• dc.date.accessioned 2021-01-15T09:03:36Z
• dc.date.issued 2020
• dc.description.abstract This paper presents an evaluation of edCrumble, a blended learning authoring tool for teachers. The tool visually represents learning designs and integrates data analytics to scaffold teacher design decisions. In addition to assessing the usability of edCrumble using UMUX questionnaire, analyses of participant views on the advantages and disadvantages of the tool in comparison to traditional course planning approaches and participant-elicited factors that can facilitate or hinder adoption of the tool are presented. Three evaluation workshops were held with teachers of different backgrounds, educational stakeholders, and students. Data-gathering instruments included interviews and questionnaires to collect qualitative and quantitative data. Further, design artifacts resulting from the workshops were analysed. The evaluation shows that the tool possesses specific features that facilitate the representation of and support for designing blended learning, uncovers the factors that may promote or inhibit its adoption, exposes its connection with solving actual educational challenges, and reveals the strengths and weaknesses in the tools usability.en
• dc.description.sponsorship This work was supported by the Spanish Ministry of Science (TIN2014-53199-C3-3-R and TIN2017-85179-C3-3-R), the Maria de Maeztu Units of Excellence Programme (MDM-2015-0502), RecerCaixa (CoT project) and the UPF PlaQUID2012. D.H.L acknowledges the support by ICREA under the ICREA Academia programme. (Corresponding author: Laia Albó).
• dc.format.mimetype application/pdf
• dc.identifier.citation Albo L, Hernandez-Leo D. EdCrumble, a data-enriched visual authoring design tool for blended learning. IEEE Transactions on Learning Technologies. 2020 Nov 25;14(1):55-68. DOI: 10.1109/TLT.2020.3040475
• dc.identifier.doi http://dx.doi.org/10.1109/TLT.2020.3040475
• dc.identifier.issn 1939-1382
• dc.identifier.uri http://hdl.handle.net/10230/46185
• dc.language.iso eng
• dc.publisher Institute of Electrical and Electronics Engineers (IEEE)
• dc.relation.ispartof IEEE Transactions on Learning Technologies. 2020 Nov 25;14(1):55-68
• dc.relation.projectID info:eu-repo/grantAgreement/ES/1PE/TIN2014-53199-C3-3-R
• dc.relation.projectID info:eu-repo/grantAgreement/ES/2PE/TIN2017-85179-C3-3-R
• dc.rights © 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. http://dx.doi.org/10.1109/TLT.2020.3040475
• dc.rights.accessRights info:eu-repo/semantics/openAccess
• dc.subject.keyword Authoring toolsen
• dc.subject.keyword Blended learningen
• dc.subject.keyword Data-driven supporten
• dc.subject.keyword Instructor interfacesen
• dc.subject.keyword Learning designen
• dc.title EdCrumble, a data-enriched visual authoring design tool for blended learningen
• dc.type info:eu-repo/semantics/article
• dc.type.version info:eu-repo/semantics/acceptedVersion