Audit the current assessment
Map intended outcomes to the evidence students currently provide.
Faculty, instructional designers, and academic leaders
AI-resilient assessment design for universities
Help faculty redesign assessment around authentic work, observable reasoning, feedback, and responsible AI use.
PT2H30M · Intermediate
Start freeWhat you will learn
- Identify where an assessment is vulnerable to unobservable AI substitution.
- Design authentic evidence of process and mastery.
- Write a clear, enforceable AI-use policy for the assignment.
Course outline
Make reasoning observable
Add checkpoints, artifacts, reflection, and authentic constraints.
Set responsible AI boundaries
Define allowed uses, disclosure, feedback, and evaluation criteria.
OPEN LESSON
Open lesson: Audit the current assessment
Before automating a task, define the result you need and the evidence that would make it trustworthy. In this course, the goal is: Redesign one assessment so the student’s reasoning and process remain visible when AI is available. AI can accelerate a draft, comparison, or exploration, but it does not know your policies, full context, or the cost of being wrong. Begin with a low-risk case and keep the earlier version so you can compare, explain, and reverse the decision.
- Define the deliverable and an observable quality criterion: Identify where an assessment is vulnerable to unobservable AI substitution.
- Set context, allowed data, and human review before generating: Design authentic evidence of process and mastery.
- Check the output and document the final decision: Write a clear, enforceable AI-use policy for the assignment.
Responsible authorVidAcademia Editorial Team
ReviewVidAcademia Learning Quality
MethodOutcome-first design, primary-source review, guided practice, and a human-verified final decision.
SOURCES AND EVIDENCE
Learn with references you can verify.
We select official sources and explain what each supports.
UNESCO · 2023
Guidance for generative AI in education and research
UNESCO asks institutions to validate the pedagogical and ethical suitability of generative AI tools instead of treating them as automatic solutions.
U.S. Department of Education · 2023
Artificial Intelligence and the Future of Teaching and Learning
The 71-page report addresses formative assessment, teacher roles, privacy, and shared responsibility for educational AI.