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UOW is moving from cautious exploration to a more considered, strategic and whole of institutional approach to the way that we use generative AI (gen AI) in education.

 

Graphic representation of 4 pillars;  integrity, empowerment, inclusion and innovation

Strategic pillars

UOW’s approach to Generative AI is guided by four strategic pillars that reflect our institutional commitment to innovation as well as maintaining academic integrity and the quality of learning and teaching in an AI-enabled world.

These commitments align with UOW's Values in Action (ViA) Framework.

Integrity icon
Integrity
Lead with Integrity

Upholding academic integrity is fundamental to UOW’s approach. We are reimagining assessments, curriculum, and teaching practices to ensure authenticity, fairness, and transparency in an AI-enabled world.

Guided by TEQSA’s (2023) assessment reform propositions, UOW is:

  • Designing secure assessment points at meaningful stages of the student journey
  • Focusing on multiple, inclusive, and contextualised assessments
  • Prioritising the process of learning, rather than merely product-driven evaluation

 

Empowerment icon
Empowerment
Pursue Excellence

We empower students, educators, and researchers with the skills and confidence to use AI ethically and effectively. By ensuring equitable access and embedding AI literacy across programs, UOW ensures graduates thrive in an AI-enabled world.

 

Inclusion icon
Inclusion
Thrive Together

We prioritise addressing barriers to ensure equitable access to AI tools and opportunities for learning. Through a phased, risk-based approach to assessment reform, we will ensure that changes to learning and teaching practices accommodate the needs of all students.

 

Innovation icon
Innovation
Be Accountable

We embrace innovation by fostering a culture of responsible and ethical exploration and integration of AI in education. This includes:

  • Designing authentic assessments that encourage students to engage meaningfully with AI
  • Implementing programmatic approaches that integrate AI literacy development across curricula
  • Encouraging responsible experimentation in AI-enhanced teaching and learning environments

 

UOW Learning & Teaching resources

Learn more about Generative AI

  • Understanding generative AI
    Access curated resources to enhance your understanding of generative AI and its applications.
  • AI for Learning and Future Careers
    Gain future-ready skills and develop core literacies needed to harness AI across work, learning and everyday contexts with this UOW short course for all led by Associate Professor Christopher Moore and team. This course was developed as part of the Humanities for a Changing World NSW Government Grant.
  • Introduction to AI Image Generation
    Learn design thinking to create images that communicate with purpose in this UOW short course. Developed by Associate Professor Christopher Moore and team as part of the Humanities for a Changing World NSW Government Grant and Learning Teaching Innovation Grant.
  • An introduction to how generative AI works and prompt engineering
    Dr Armin Alimardani's presentations demonstrate a foundational overview of how generative AI works and practical strategies for prompting.
  • Access L&T Support

Generative AI in the higher education sector

Showcase

Explore a collection of case studies and examples of practice from UOW thought leaders, researchers, teachers and student communities on the use of generative AI in education. For example:

Showcase - Ann Rogerson - Profile Picture

Generative AI and Academic Integrity

Academic Lead - Assessment Reimagined | BAL

Professor Ann Rogerson

Ella Young

Student Spotlight: Navigating the use of GenAI in a Case Study assessment

Bachelor of Medical Biotechnology (Honours) and UOW Vice-Chancellor Leadership Scholar

Ella Young

 



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