View related sites
Cambridge Assessment English
Why choose us?
Exams and tests
You are here:
Title: Computer-based testing for young learners
Date: Monday 23 March 2015
Time: 14.00 – 15.00 UK time
This webinar is for teachers preparing pupils for Cambridge English: Young Learners tests. In this webinar you will find out about changes in education and assessment in relation to young learners. We also discuss the skills needed by young learners today and how good language tests have a positive impact on learning. We then take a closer look at the computer-based Cambridge English: Young Learners tests and see how they fit in with current teaching and assessment theory. In the final part of the webinar we will share some practical classroom ideas to prepare pupils for Cambridge English: Young Learners tests.
Jill Buggey, Cambridge English Consultant
Jill is a Senior Presenter for Cambridge Assessment English and has presented at various events for Cambridge, including IATEFL. She is the Professional Support Leader for the Speaking Tests in the UK, which means she is responsible for all the UK Speaking examiners for the whole range of General English and Business Exams. She is also a Senior Speaking and Writing examiner. Her main interests are in Speaking and Writing assessment and she has participated in various research projects on assessing these skills. Apart from working as a consultant for Cambridge English, Jill is Director of Studies for a small English language training company in Cambridge. She has been an English teacher in the UK, Greece and France and has a degree in European Studies and a post-graduate certificate in education.
Mariana Calderon, Marketing Strategy Manager – Schools, Cambridge English
Mariana is responsible for developing and implementing the marketing strategy for the Cambridge English for Schools exams in the compulsory sector. One of Mariana’s key priorities is to keep improving the way Cambridge English can support primary and secondary schools when teaching children and teenagers, through: