ALTE Artificial Intelligence in Digital Language Testing course is a one-and-half day course which will explore the use of AI in the full digital language testing process, which includes: - the authoring of assessments, with AI-assisted item authoring- the test-taking phase, with AI-monitoring of test-takers, or the threat of candidates using AI to take their test, - the marking and grading process, with (semi-)automatic AI grading - the results processing, where AI can detect anomalies or help interpreting big data. The focus will be on the authoring and the grading phase because that is where AI gives the most promising results already. In both authoring and grading, the course will show concrete tips an tricks on how to configure and customize the LLMs to your organisation’s and assessments’ specific needs.
About the course tutor: Bert Wylin has both an academic and a business profile. He has been working at the KU Leuven since 1993, leading the Education Innovation Centre (integrating EdTech in education). In 2001, he founded a KU Leuven university spin-off, now Televic Education, developing and servicing an e-assessment platform. Today, Bert is interested in how technology serves the didactic and pedagogical needs of content and skills measurement.
Payment and Cancellation policy
For group bookings, ALTE advises to book maximum three places per institution. Payment is in full when registering. Payment can only be made online using Visa, MasterCard or American Express. If you cannot pay with a credit/debit card please contact the ALTE Services Unit: servicesunit@alte.org. In such a case we issue an invoice first, and only then a bank transfer will be possible. In case of cancellation up until one month before the start of the events, the full amount will be refunded minus a €50 administration fee. However, in the case of cancellation after this date, no refunds can be made.
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ALTE - the Association of Language Testers in Europe is a Charitable Incorporated Organisation (CIO), registered in England, charity number 1184799.