Taxonomy of Human Actions for Action-based Learning Assessment in Virtual Training Environments
dc.contributor.author | Fardinpour, Ali | |
dc.contributor.supervisor | Dr Torsten Reiners | en_US |
dc.contributor.supervisor | Assoc. Prof. David Gibson | en_US |
dc.date.accessioned | 2017-04-10T08:09:13Z | |
dc.date.available | 2017-04-10T08:09:13Z | |
dc.date.issued | 2016 | |
dc.identifier.uri | http://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.publisher | Curtin University | en_US |
dc.title | Taxonomy of Human Actions for Action-based Learning Assessment in Virtual Training Environments | en_US |
dc.type | Thesis | en_US |
dcterms.educationLevel | PhD | en_US |
curtin.department | School of Information Systems | en_US |
curtin.accessStatus | Open access | en_US |
curtin.faculty | Curtin Business School | en_US |