Teaching case study
Adapting assessment in the age of generative AI: The assessment adaptation model
Australian Government: TEQSA
19/03/2026
Appears in Recent Faculty of Health Publications
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Abstract
Focus area: Assessment design:
Generative artificial intelligence (gen AI) enables students to generate sophisticated academic outputs with minimal effort, challenging traditional assessment methods and raising concerns about academic integrity. Southern Cross University (SCU) has responded to this challenge by developing the Assessment Adaptation Model – Gen AI (AAM-Gen AI), a comprehensive, pedagogically grounded model designed to help educators adapt assessments to be resilient and meaningful in the gen AI era.
Details
- Title
- Adapting assessment in the age of generative AI: The assessment adaptation model
- Creators
- Ruth Greenaway Professor - Southern Cross UniversityZachery Quince Dr - Southern Cross UniversityJoanne Munn Dr - Southern Cross University
- Publisher
- Australian Government: TEQSA
- Identifiers
- 991013372561102368
- Academic Unit
- Faculty of Health
- Language
- English
- Resource Type
- Teaching case study
- Course Name
- Academic Integrity Toolkit: Case Study
- Local Fields
- Evidence Based Practice - SoLT