Doctoral Colloquium—Pandemic Pirouettes: AR Ballet Exploring Data Ethics for the Computing Classroom
DOI:
https://doi.org/10.56198/m141jq09Keywords:
computing education, augmented reality, ballet, motion capture, AgileDBRAbstract
This Doctoral Colloquium paper explores the pivot from in-person to virtual and digital means in developing an Augment Reality (AR) classical ballet experience due to Covid-19. This work-in-progress explores novel teaching and learning approaches to the computing concepts of data transmission, signal processing, and therefore necessarily data ethics through classical ballet and bio-metric data—the body and brain waves as data artefacts, the data ethics implications of biometrics. Innovative approaches to subject knowledge, programming competency, and probing engender thinking of the field of computing if any. This study uses the emergent methodology of AgileDBR, a hybrid of design-based research (DBR) and Agile developed as part of author one’s Ph.D.
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