PFMEA for assessment resilience
by Raul Ochoa Cabrero
Raul Ochoa Cabrero is a Lecturer in Engineering and AI, and Faculty Lead for AI in STEM Education.
This video aims to give colleagues a structured approach to assessment resilience inspired from traditional manufacturing methods. It is a detailed description translating the process failure mode and effect analysis (PFMEA) from manufacturing to assessment resilience in the context of AI or other disruptive technologies, aligned to a future-focused curriculum. Hopefully, you find this approach useful and it helps you redesign assessment with actionable strategies to mitigate the use of uncritical AI in assignments.
The first part contains illustrative examples and strategies for assessment resilience. The second explains in detail the translated PFMEA approach in the context of assessments and AI.
Get in touch
If you have any questions or want to discuss specifics, don’t hesitate to contact Raul by email at:
