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Article: A Multilevel Framework and Method for Learning Analytics Integrated Learning Design

TitleA Multilevel Framework and Method for Learning Analytics Integrated Learning Design
Authors
KeywordsMultilevel learning design taxonomy
learning analytics taxonomy
inquiry-oriented learning design
integrated LD-LA framework
Learning Analytics integrated Curriculum Component Design Patterns (LA-CCDP)
Issue Date2020
PublisherUTS ePRESS (University of Technology Sydney). The Journal's web site is located at https://learning-analytics.info/index.php/JLA
Citation
Journal of Learning Analytics, 2020, v. 7 n. 3, p. 98-117 How to Cite?
AbstractEfforts to realize the potential of learning analytics (LA) to contribute to improving student learning and learning design have brought important advances. A review of successful cases of learning analytics applications reveals that (1) there is a tight coupling between the learning outcome goals, task sequence design, and the learning analytics and feedback in each case, and (2) the learning analytics to be deployed and the feedback to be provided to learners and/or teachers are integral to the learning design (LD) rather than constructed after the LD is completed. Learning design frameworks in the literature have focused on generic learning task taxonomies and are unable to scaffold LA-integrated LD practice. This paper proposes a multilevel framework for LA-integrated LD, which provides a hierarchically nested multilevel structure for the design of LD and LA elements on the basis of 60 STEM curriculum units collected from authentic classrooms. The framework includes a design process model in the form of a Learning Design Triangle and the concept of Learning Analytics integrated Curriculum Component Design Patterns (LA-CCDP). Operationalization of the framework Is illustrated using one STEM curriculum unit. This framework can be adopted for professional learning and technology development to support LA-integrated LD practices.
Persistent Identifierhttp://hdl.handle.net/10722/287181
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorLaw, NWY-
dc.contributor.authorLiang, L-
dc.date.accessioned2020-09-22T02:57:02Z-
dc.date.available2020-09-22T02:57:02Z-
dc.date.issued2020-
dc.identifier.citationJournal of Learning Analytics, 2020, v. 7 n. 3, p. 98-117-
dc.identifier.urihttp://hdl.handle.net/10722/287181-
dc.description.abstractEfforts to realize the potential of learning analytics (LA) to contribute to improving student learning and learning design have brought important advances. A review of successful cases of learning analytics applications reveals that (1) there is a tight coupling between the learning outcome goals, task sequence design, and the learning analytics and feedback in each case, and (2) the learning analytics to be deployed and the feedback to be provided to learners and/or teachers are integral to the learning design (LD) rather than constructed after the LD is completed. Learning design frameworks in the literature have focused on generic learning task taxonomies and are unable to scaffold LA-integrated LD practice. This paper proposes a multilevel framework for LA-integrated LD, which provides a hierarchically nested multilevel structure for the design of LD and LA elements on the basis of 60 STEM curriculum units collected from authentic classrooms. The framework includes a design process model in the form of a Learning Design Triangle and the concept of Learning Analytics integrated Curriculum Component Design Patterns (LA-CCDP). Operationalization of the framework Is illustrated using one STEM curriculum unit. This framework can be adopted for professional learning and technology development to support LA-integrated LD practices.-
dc.languageeng-
dc.publisherUTS ePRESS (University of Technology Sydney). The Journal's web site is located at https://learning-analytics.info/index.php/JLA-
dc.relation.ispartofJournal of Learning Analytics-
dc.subjectMultilevel learning design taxonomy-
dc.subjectlearning analytics taxonomy-
dc.subjectinquiry-oriented learning design-
dc.subjectintegrated LD-LA framework-
dc.subjectLearning Analytics integrated Curriculum Component Design Patterns (LA-CCDP)-
dc.titleA Multilevel Framework and Method for Learning Analytics Integrated Learning Design-
dc.typeArticle-
dc.identifier.emailLaw, NWY: nlaw@hku.hk-
dc.identifier.emailLiang, L: lmliangc@hku.hk-
dc.identifier.authorityLaw, NWY=rp00919-
dc.description.naturelink_to_OA_fulltext-
dc.identifier.doi10.18608/jla.2020.73.8-
dc.identifier.hkuros314488-
dc.identifier.hkuros315387-
dc.identifier.volume7-
dc.identifier.issue3-
dc.identifier.spage98-
dc.identifier.epage117-
dc.identifier.eissn1929-7750-
dc.identifier.isiWOS:000600060400008-
dc.publisher.placeAustralia-
dc.identifier.issnl1929-7750-

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