Effective Safety Measures in Peer Evaluation with Azure AI Content Safety

Developing mechanisms for peer evaluation comments requires a strong focus on safety and ethical considerations. Drawing from experiences in AI application development, we highlight actionable strategies that can be applied to improve the safety of peer feedback systems in one of our learning and teaching modules in the School of Computing Science at the University of Glasgow: Professional Software Development and Team Project.

Publication Details

Journal
ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam)
Published
2024-12-12
Primary Topic
Student Assessment and Feedback
Type
article
Field-Weighted Citation Impact
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article

Effective Safety Measures in Peer Evaluation with Azure AI Content Safety

ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam)
Student Assessment and Feedback
article

Effective Safety Measures in Peer Evaluation with Azure AI Content Safety

article en

Abstract

Developing mechanisms for peer evaluation comments requires a strong focus on safety and ethical considerations. Drawing from experiences in AI application development, we highlight actionable strategies that can be applied to improve the safety of peer feedback systems in one of our learning and teaching modules in the School of Computing Science at the University of Glasgow: Professional Software Development and Team Project.

ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam)
Openalex Percentile: Top 23%
Student Assessment and Feedback
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Effective Safety Measures in Peer Evaluation with Azure AI Content Safety · ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam) (2024) | TGRS Research Map | TGRS