AI Professional Practices Co-Lab
Preparing for AI-transformed professional futures
The AI Practice Co-Lab Project is a university-wide initiative designed to ensure UOW’s curriculum remains closely aligned with the rapidly evolving capabilities, expectations, and practices emerging across industries and professions.
Project Overview
AI Practice Co-Lab will ensure UOW’s curriculum remains informed by real changes occurring within industry. Through an open expression-of-interest process, UOW will offer $5,000 to academic leaders undertaking investigations into how generative AI is affecting their field.
Why this matters
AI is transforming how professions operate, and the capabilities employers expect from graduates. For UOW to prepare students for an AI-intensive workforce, course design will need to reflect current, evidence-based industry expectations.
What the AI Practice Co-Lab Project delivers
- Insight reports on how AI is reshaping professional practice
- Guiding principles for discipline-relevant curriculum and graduate capability implications
- High-impact dissemination outputs (infographics, short videos, micro-presentations)
- A framework for ongoing integration of AI-related professional insights into curriculum renewal
How it works
Each Co-Lab project will select engagement methods suited to its discipline such as, practitioner workshops, employer interviews, roundtables, or targeted consultations. Findings will be distilled into concise, high-impact outputs and shared at the 2026 renAIssance Showcase.
Strategic outcome
The Co-Lab will ensure UOW courses remain aligned with contemporary AI-enabled professional practice, producing graduates with relevant, future-ready capabilities.
Project timeline
Mar-Apr
Information Session & EOI process for Co-Lab grants
Community of Practice formed
May
Co-Lab funded engagement activities commence
Jun-Oct
Ongoing community of practice & sharing emerging insights
Nov
Creation of discipline specific guiding principles & sharing outputs at renAIssance Week
Dec
Synthesis of Co-Lab findings and contribution to AI-Enabled Education Blueprint
Co-Lab Grant Recipients
The Co-Lab provides grants ($5,000 each) to support academic leaders to engage directly with employers, professional bodies, alumni and practitioner networks to investigate how AI is changing professional roles, capabilities and expectations.
Marketing Curriculum for the AI Era
Project lead(s)
Dr Beo Thai
Project team members
Associate Professor Michael Mehmet, Dr Ping Kattiyapornpong, Dr Seyed Momeni, Anna Wong-Ng
Artificial Intelligence and the Future of Publishing
Project lead(s)
Dr Luke Johnson
Project team members
Liam Copland (PhD candidate)
Split Screen: Industry Experts Evaluate Student Design Work Made With and Without Generative Media
Project lead(s)
Wes Wickham, Dr Aaron Burton
Project team members
Associate Professor Christopher Moore, Dr Travis Wall, Jo Stirling, Alyson Johnson
Generative AI, Legal Professional Obligations and Assessing the Graduate Capabilities Gap in the Law Curriculum
Project lead(s)
Sarah Wright, Yvonne Apolo
Project team members
Associate Professor Niamh Kinchin, Melissa Porter, Dr Aiste Janusiene
Future‑Ready Accounting Education: Aligning AI Capability with CPA/CAANZ Re‑accreditation
Project lead(s)
Dr Tianxi Kevin Huang
Project team members
Professor Corinne Cortese, Professor David Johnstone, Associate Professor Anura de Zoysa, Associate Professor Stephanie Perkiss, Dr Abdullah Al‑Mamun, Dr Mona Nikidehaghani, Dr Sanja Pupovac, Dr Erin Twyford, Dr Jenny (Jing) Wang, Dr Walid El Hamad, Kellie McCombie, Dr Hajar Roudaki, Dr Parulian Silaen, Dr Andy Wang
From Employer Insight to AI‑Practice‑Ready Graduates
Project lead(s)
Dr Glen Wheeler
Project team members
Dr Chayne Planiden, Dr David Gunawan
Generative AI in IT Practice: An Industry‑Informed Curriculum Study
Project lead(s)
Professor Ping Yu
Project team members
Professor Jun Shen, Professor Lei Wang, Dr Elena Vlahu‑Gjorgievska, Dr Nan Li, Dr Hui Luo, Dr Ting Song
Reframing Engineering Professional Practice in the Age of AI: An Industry–Academia Co‑Lab
Project lead(s)
Sasha Nikolic
Project team members
Muhammad Hadi, Dr Jon Roberts, Associate Professor Qinghua Guo, Dr Umar Asghar, Helen Fairweather
AI‑Driven Transformation in the Computing and Software Engineering Profession
Project lead(s)
Professor Hoa Khanh Dam
Project team members
Dr Guoxin Su, Dr John Le, Professor May El Barachi, Associate Professor Kiran Trivedi, Dr Ho Lam Lau, Frank Lau, Abel Choy
Between Sessions: What AI in Clinical Psychology Means for How We Teach and Who We Graduate
Project lead(s)
Dr Laura Robinson
Project team members
Dr Anna Sidis, Dr Samantha Reis, Christine Carey, Dr Leonie Miller, Associate Professor Adam Clark, Dr Oliver Guidetti
Informing GenAI‑Enabled Health Practice: Workforce Perspectives to Guide Curriculum in Public Health, Nutrition and Dietetics, and Occupational Health and Safety
Project lead(s)
Dr Megan Hammersley
Project team members
Dr Amy Bestman, Dr Bushra Khan, Dr Kim Kiely, Professor Kelly Lambert, Dr Annabel Clancy, Dr David Noi
AI and the Future of Business Practice: An Employer‑Informed Curriculum Renewal Initiative for Finance, Accounting and Management
Project lead(s)
Dr Jasmine Phan Ah Kiaw
Project team members
Dr Wan Nur’Aswannah binti Wan Chik, Dr Siti Hajar Nadrah binti Mohamad Ghouse, Dr Dai Jiapeng
Artificial Intelligence (AI) Adoption in Small and Medium Enterprises
Project lead(s)
Associate Professor Dr Sim Hock Kheng
Project team members
Saravanan Raman, Heran Niruba a/p Gunasekaran, Wan Ruzanna binti Wan Ibrahim, Maheswaran a/l Ramalingam, Ts. Aidora Abdullah, Kho Wen Lin
