The ASE is delighted to be hosting its Annual Conference, generously sponsored by AQA, at the University of Nottingham from 9th to 11th January 2025. International sessions are incorporated throughout the event for this year and we will have a great exhibition with lots of exclusive Conference offers. Post-16 focus-day and for those involved in leading and delivering professional development, the Teacher Developers’ Group programme is Thursday. Friday is the dedicated Technicians day and Early Career Teacher day. Sessions for both Primary and 11-19 are threaded throughout all 3 days with a focus on Research on Saturday. Book your tickets now at https://ase2025AnnConf.eventbrite.co.uk - and remember, if you are an ASE member you will benefit from hugely discounted prices! Check out our membership here - it’s free for Early Career Teachers and only £25 for Technicians!
In recent years, education in England has seen a move towards ‘evidenced-based’ practice with the Department for Education privileging ideas and practice drawn from cognitive science.
An area that has gained significant interest is that of ‘retrieval practice’. On the face of it, retrieval practice appears to be an intuitive and easy to implement strategy for a teacher, as it requires students to retrieve (remember) information from their long-term memory, rather than passively restudy it. The act of deliberately retrieving information then improves the retention and later retrieval of that information, which is often referred to as the ‘testing effect’.
Despite there being strong evidence that retrieval practice supports learning, there are a number of issues that teachers should be aware of when translating the research into effective classroom practice.
This session aims to share some of the issues that retrieval practice research raises for teachers and discusses some key consideration for teachers who already use or want to use retrieval-based strategies in their practice. Drawing on findings from two recent research projects, the concept of retrieval-based learning will be outlined, along with key ideas to support the development of effective and efficient strategies.
