This practical and popular guide to children's common errors and misconceptions in primary mathematics is an essential tool for teachers and trainees. It supports them in planning for and tackling potential errors and enhances their understanding of the difficulties encountered in mathematical development. This fourth edition explores how a Growth Mindset approach works alongside an awareness of children's errors and how mistakes themselves are powerful learning tools. This edition includes 50 new identifiable misconceptions children have of mathematics. The text also considers the role of the teacher in understanding and addressing children's common mathematical misconceptions. Key features: Linked to the new National Curriculum and covers every objective Provides an essential tool for planning primary mathematics lessons Explores how common misconceptions can be anticipated and addressed

Author Biography

Alice Hansen is the Director of Children Count Ltd where she is educational consultant. Her work includes running professional development courses and events for teachers and teacher trainers, research and publishing. Alice has worked in education in England and abroad. Prior to her current work she was a primary mathematics tutor and the programme leader for a full-time primary PGCE programme at a large university in England. Doreen Drews is a Principal Lecturer in Primary Mathematics at St Martin's College and has taught extensively within the Foundation Stage, Key Stage One and Key Stage Two. She was a mathematics advisory teacher for four years before joining St Martin's and has a particular interest in early years mathematics. John Dudgeon has taught at a wide range of primary schools. John is particularly interested in the effective use of mathematical resources. Fiona Lawton is currently developing online materials to support teaching and learning in mathematics and is researching the underpinning pedagogy of e-learning. Liz Surtees has taught at both secondary and primary level and has a particular interest in statistics.