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

· 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