Generative AI (GenAI) tools can be used to write lab reports, literature reviews, theses, presentations, and code. They can even assist in drafting reflective essays, including creating unique personas that mimic students. At the same time, these tools can serve as powerful learning partners for our students.
In this session, we consider both of these roles as we introduce effective models for adapting your assessments and rubrics to ensure they remain fit for purpose in the age of GenAI. We will demonstrate strategies for evaluating the learning process rather than just the final product. We will also show how you can leverage AI to make time for this more time-intensive, process-based feedback approach.
Key takeaways for participants:
- Map the weak spots: Identify assessments that are susceptible to AI use, and locate them within the context of the UNSW six-lane approach.
- Shift from detection to deterrence: Design assessment types and rubric items that evaluate intermediate steps in students’ thinking and work processes.
- Assess the process: Require students to document their workflow, justify their decisions, and reflect on their choices to provide insight into their learning journey.
- Promote AI literacy: Incorporate prompt-logging and iterative practice with reflective components to help students develop critical AI engagement skills.
- Leverage AI for feedback: Use AI tools yourself to support the more time-intensive process of assessment and feedback, such as through AI-assisted assessment design or tutoring.
About the Speaker
Dr Fiacre Rougieux
Fiacre Rougieux is a Senior Lecturer in the School of Photovoltaic & Renewable Energy Engineering at UNSW Sydney. His research spans PV system reliability, data-driven fault analytics and educational research. He leads institution-wide projects on program-level assessment, developing various tools (such as SDG dashboard) and tools such as Mappy for curriculum mapping. His current work looks at how generative AI changes mastery learning and integrity in engineering education and how to best scaffold AI literacy in our programs.