AI in Further Education: Feedback, Adoption and Sector Practice

Описание: How can AI support feedback in Further Education without compromising professional judgement?

In this in-depth sector webinar, we explore how AI can be used to support marking and feedback responsibly, sustainably and transparently.

This session focuses on:

• The feedback workload challenge in FE
• Why timely feedback matters for learner progress
• The cognitive and emotional demands of marking
• What hybrid marking means in practice
• The 80 20 human in the loop principle
• A live demonstration of the Advanced Feedback Generator
• How colleges are embedding AI into feedback workflows
• Reflections from the Jisc AI assessment pilot with NPTC Group
• Governance, transparency and responsible AI supported assessment

This is not about automated marking.
It is about AI drafting structured feedback, with educators reviewing, refining and applying professional judgement.

AI supported feedback is one of the most sensitive areas of educational practice. This webinar explores how to reduce workload while protecting standards, trust and professional accountability.

If you work in Further Education as a lecturer, quality lead, digital lead or senior leader, this session offers practical insight into responsible AI adoption in feedback and assessment.

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