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Assessment for learning at scale at UNSW Sydney

Authors: Carroll, Danny;

Assessment for learning at scale at UNSW Sydney

Abstract

Societal expectations of Higher-Education’s ability to produce work-ready graduates continues to struggle against a fundamental challenge related to the conflicting purposes of assessment as primarily a vehicle of certification or as an opportunity for learning. Assessment for learning is proposed as a powerful theory for improving learning from assessment. However numerous blockers including inadequate technological systems retard the adoption of student-centered assessment (Ibarra-Sáiz, Rodríguez-Gómez, & Boud, 2020). This article reports on a ten-year initiative using an assessment platform (REVIEW) as a technological base driving Standards Based Assessment. Use of this software has enabled assessment for learning type practices in hundreds of courses, providing beneficial learning outcomes and experience of assessment for staff and students. This paper highlights the affordances that technology platforms can provide in systematizing beneficial practices, improved assessment experiences and filling a long-standing gap between theory, policy and practice.

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Keywords

criteria-referenced assessment; self and peer-assessment; assessment for learning; assessment systems

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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