WIL Around the World: Australia - July 14, 2026 Session
Topic: WIL in Australia: Rethinking WIL Assessment: Peer Review Models for an AI-Enabled World
Times:
Toronto: June 16, 9:00 AM
Los Angeles: June 16, 6:00 AM
Cape Town: June 16, 3:00 PM
London: June 16, 2:00 PM
Tokyo: June 16, 10:00 PM
Sydney: June 16, 11:00 PM
Auckland: June 17, 1:00 AM
Stockholm: June 16, 3:00 PM
Description:
What does authentic WIL assessment look like when AI can write the reflection, polish the report, and articulate the learning outcomes better than the student? AI is rewriting what assessment can and cannot do, and WIL, long built on written reflection, sits at the sharp edge of that shift. This session asks how we move from defending assessment against AI to designing assessment that AI cannot fake, drawing on a peer review model refined across six semesters and published in Assessment & Evaluation in Higher Education. Faith will explore how synchronous, cross-disciplinary peer review authenticates learning in real time, builds the professional judgement students need in AI-enabled workplaces, and offers WIL educators internationally a practical, scalable response.
Speakers: Faith Valencia-Forrester
Dr Faith Valencia-Forrester is Associate Professor and Academic Lead (Work-Integrated Learning) at Charles Sturt University, Australia, and a Board Director of WIL Australia. Her research focuses on WIL assessment design, with particular interest in how peer review models can ensure authenticity and develop professional competencies in an era of rapidly evolving AI capabilities. Her peer review assessment framework, refined through six semesters of implementation and published in Assessment & Evaluation in Higher Education, offers a scalable approach to maintaining assessment integrity while fostering genuine professional skill development. Faith is working to establish the Regional Universities Network WIL Consortium and coordinates the Asia Pacific Hub for Community-Based Global Learning. Her PhD examined inclusive approaches to work-integrated learning in journalism education.