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The future of AI in baseline assessment: What happens when AI runs the test? 

Wednesday 30 July, 9am (UK)

Webinar information

AI is starting to reshape the way we assess students. In baseline assessments, it can tailor questions to each student and give teachers faster, clearer insights. But like any tool, it works best when used carefully – with teachers still making the key decisions. 

In this webinar, our Product Manager, Eirini Kolaiti, and Reporting and Guidance Specialist, Annie Vincent, will discuss: 

  • How AI-powered computer-adaptive algorithms personalise assessments for every learner
  • The role of AI in improving accuracy, efficiency and fairness in baseline testing

  • How we’re using AI to help schools quickly identify student strengths and learning needs 

  • Different types of AI 

  • How AI helps save teachers valuable time by streamlining the assessment process 

  • What the future holds: emerging opportunities for AI to support teacher decision-making 

  • Pros and cons of using AI in baseline assessments

 

Who is this for?

This webinar is aimed at anyone working in education or with an interest in AI technology. This session is ideal for Principals, Vice Principals, Head Teachers, Deputy Heads, Pastoral Leads, Heads of Department, Exam Leads and Teachers. 

Not free to attend? You can still sign up; the recording will be sent to all registrants after the webinar.

We hope to see you there!

 

Research-Team-Portraits-Annie

Presenter

Annie Vincent
Reporting & Guidance Specialist, Cambridge Insight

Annie is a former secondary English teacher with over 10 years of experience in the UK education sector. During that time, Annie held curriculum responsibilities and was whole-school Literacy Coordinator. Annie is now enjoying bringing her experience in the classroom to her new role, sharing teaching and learning guidance to help educators across the world unlock their students' potential.

 

 

Erirni

Presenter

Eirini Kolaiti
Product Manager, Cambridge Insight

Eirini holds a degree in Computer Engineering and Informatics, and an MA in Computing in Education, focusing on how to use Physical Computing to engage girls in Computer Science.

Eirini is passionate about educational research and applying pedagogical approaches to teaching and assessment.