Guides for assessment Re(design) and Reform
Step-by-step guidance for getting started
Guidance 1.
Does my assessment need to change?
Advances in AI now allow students to create learning products with minimal effort, making it unclear whether they have learned. While some learning outcomes need to be demonstrated without AI assistance, the increasing ubiquity of AI tools means that separating students from them might further remove their learning and assessment activities from authentic practice. This guide is designed to help educators decide whether they should explicitly design AI into or out of their assessments to best support student learning.
Guidance 2.
How do I design AI into my assessment?
AI is changing how we learn, work, and live, and our educational practices must adapt. However, AI also complicates the process of determining whether students have actually learned. This guide is designed to help educators create assessments that allow students to use AI tools while maintaining the ability to collect valid evidence of their learning.
Guidance 3.
How do I design AI out of my assessment?
AI tools are becoming commonplace in many domains; however, not all learning outcomes can or should be demonstrated with AI assistance. This guide is designed to help educators craft reasonable arguments for why AI should not be used to demonstrate certain learning outcomes and create assessments that limit student use of AI while maintaining student agency.
Guidance 4.
Additional resources
This guide provides links to additional resources to support your assessment design in the age of AI, including information about common concerns educators may have about AI; external resources about the relationship between AI and education; and links to Monash-specific policies and resources for assessment design.
Contributors: Natalia Antolak-Saper, Kiri Beilby, Brendan Boniface, Dana Bui, Paul Burgess, Aamir Cheema, Michael Crocco, Robbie Fordyce, Kirstie Galbraith, Gaye Lansdell, Caryn Lim, Joel Moore, Amelia Nathania, Sadia Nawaz, Limalini Raveendran, Tridib Saha, Carmen Sapsed, Brendan Shannon, Kimberly Soh, Zach Swiecki, Thao Vu, Peter Wagstaff, Estelle Wallingford, Pauline Wong, Farid Zaid.