Get any group of teachers together and ask them their main concern about AI and the answer will be assessment. Its not really surprising since education systems have built their reputations on the value of assessments, however weak traditional exam systems have been. But of course in vocational education and training in most countries there has been change, with moves towards outcome based curriculum leading to more practical real world assessment exercises.
This doesn't mean vocational teachers don't have the same concerns over AI and assessment, especially when it comes to assessment of more formal academic learning. In the UK, a group pf teachers from Further Education, responsible for much of the vocational education and training provision, have formed a working group organised by JISC to put together a set of practical, adaptable top tips that could help staff make confident decisions around assessment and AI use.
Here are the headlines of their tips. To get the full advice download the FE AI Assessment Top Tips.
Before Assessment
Set clear expectations around AI use
Promote AI as a support, not a shortcut
Explain how to acknowledge AI use
ยท Provide variety and choice
Create opportunities for appropriate AI use
Get to know your learners through formative work
After assessment
Be cautious with AI-detection
Use multiple verification methods
Understand your learner's perspective
Inform follow-up conversations
Conduct a post-assessment AI reflection