Can a machine match a human’s ability to assess a learner’s proficiency in English? Like all uses of AI – it depends on the right combination of human skills and machine capability. Martin Moore, Head of Testing at Clarity explains how.
Leading test developers demystify the world of testing and all things Dynamic Placement Test.
Can a machine match a human’s ability to assess a learner’s proficiency in English? Like all uses of AI – it depends on the right combination of human skills and machine capability. Martin Moore, Head of Testing at Clarity explains how.
At the ELITE conference in Malang, Indonesia last week Dr Adrian Raper explained why a placement test must be adaptive. This is a summary of his talk.
Manual speaking tests are challenging because they are: time-consuming, expensive, difficult to grade and benchmark, and are prone to bias. What if an AI-graded test solved all those problems?
Can a machine match a human’s ability to assess a learner’s proficiency in English? Like all uses of AI – it depends on the right combination of human skills and machine capability. Martin Moore, Head of Testing at Clarity explains how.
Andrew Stokes explores the pressure to incorporate AI into the classroom. How can we do it in a way that genuinely benefits both learners and teachers?