Assessing EAL/WAL pupils - Bell Foundation Assessment Documents
EAL Assessment Framework for Schools - PRIMARY
EAL Assessment Framework Guide
EAL Assessment Framework for Schools - SECONDARY
EAL Electronic Assessment Tracker - PRIMARY
EAL Electronic Assessment Tracker - SECONDARY
Assessing EAL/WAL pupils - Bell Foundation Classroom Strategies - these strategies link to the assessment stages and provide advice and support at the learners level (recently updated September 2023)
Example programmes for teaching English
This is a practical, easy to follow programme, complete with resources, for teachers with tight time constraints to help children learn English as an additional language. This book offers practical answers to help new students move into English quickly.
This book provides you with a programme for use as an induction-to-English, complete with integral assessment. It provides guidance on how to bridge the gap between these learners and their peers It is suitable for learners of any language background due to the focus on learning through images. It also includes suggestions on how to include parents who are new-to-English and ideas on family learning. You’ll find an EAL framework to provide structure to your EAL provision across the school, as well as guidance on how to approach class teaching.
Suggested resources - subscriptions needed
Learning Village supports young English language learners, and their teachers, parents and carers, with the skills and resources they need to achieve proficiency in English and to access a demanding school curriculum, in a multilingual world.
Other Useful Documents
Bilingual To Multilingual: A Toolkit for Developing Translanguaging and Plurilingual Skills to Build Inclusive Classrooms
Useful external resources - some resources are free to access
WAM arises out of the work on multilingual identity carried out by the Education Strand of the MEITS project (Multilingualism Empowering Individuals Transforming Societies).
Visit our main site here www.meits.org
Google Lens is an image recognition technology developed by Google, designed to bring up relevant information related to objects it identifies using visual analysis based on a neural network.