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dc.contributor.authorFardinpour, Ali
dc.contributor.supervisorDr Torsten Reinersen_US
dc.contributor.supervisorAssoc. Prof. David Gibsonen_US
dc.date.accessioned2017-04-10T08:09:13Z
dc.date.available2017-04-10T08:09:13Z
dc.date.issued2016
dc.identifier.urihttp://hdl.handle.net/20.500.11937/51884
dc.description.abstract

This design research project developed and validated a taxonomy of human actions to be used in action-based learning assessment. The taxonomy, titled ‘BEHAVE,’ was shown to have both internal and external validity and allows actions performed by learners, for example in digital performance spaces, to be formally represented with consistency and to be compared with expert reference actions, to generate automated post-performance formative feedback.

en_US
dc.publisherCurtin Universityen_US
dc.titleTaxonomy of Human Actions for Action-based Learning Assessment in Virtual Training Environmentsen_US
dc.typeThesisen_US
dcterms.educationLevelPhDen_US
curtin.departmentSchool of Information Systemsen_US
curtin.accessStatusOpen accessen_US
curtin.facultyCurtin Business Schoolen_US


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