Taxonomy of Human Actions for Action-based Learning Assessment in Virtual Training Environments
Access Status
Open access
Authors
Fardinpour, Ali
Date
2016Supervisor
Dr Torsten Reiners
Assoc. Prof. David Gibson
Type
Thesis
Award
PhD
Metadata
Show full item recordFaculty
Curtin Business School
School
School of Information Systems
Collection
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.
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