Trends in SEN identification: contexts, causes and consequences
This is the final version. freely available from the SEN Policy Research Forum via the link in this record This policy seminar addressed these current issues and questions: i. Are there shifts from an interactive to within-child model of identification? And if so, what are the factors that are contr...
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ftunivexeter:oai:ore.exeter.ac.uk:10871/123468 2024-09-15T18:33:44+00:00 Trends in SEN identification: contexts, causes and consequences Hutchinson, J Timimi, S McKay, N 2020 http://hdl.handle.net/10871/123468 en eng SEN Policy Research Forum https://senpolicyresearchforum.co.uk/past-policy-papers/ SEN Policy Research Forum Policy Paper 44 http://hdl.handle.net/10871/123468 © 2020 SEN Policy Research Forum http://www.rioxx.net/licenses/all-rights-reserved Report 2020 ftunivexeter 2024-07-29T03:24:13Z This is the final version. freely available from the SEN Policy Research Forum via the link in this record This policy seminar addressed these current issues and questions: i. Are there shifts from an interactive to within-child model of identification? And if so, what are the factors that are contributing to this, ii. What are the changing relationships between parents, schools and LAs and their influence on identification practice? And iii. What kind of identification and assessment framework do we need for the future? The first speaker Jo Hutchinson, from the Education Policy Institute, presented on “How fairly and effectively special educational needs and disabilities (SEND) are identified?’ in which she summarised her interim findings about school attainment and inclusion questions. One of her key findings was that about four in ten children have some interaction with the SEND system over the course of their schooling This is a lot more than the commonly held assumptions about SEN incidence (one in five or six). Further analysis indicated that factors that best predicted the identification of SEN Support in primary schools were measures of deprivation and prior attainment. There were moderate effects for absences, ethnicity, looked after child status and child in need status. Lesser but still significant factors were sex, months of birth, EAL status and school mobility. The communication language and literacy scale of the Early Years Foundation Stage Profile was the best predictor of being identified with SEND at the SEN Support level. Also, analysis showed that most of variation in SEN Support identification was predicted by school variations, indicating that individual effects were halved once school factors were taken into account. Analyses for secondary and SEN at the EHC Plan level were still be completed. Dr Sami Timimi, Consultant Child and Adolescent Psychiatrist, presented on ‘the social construction of autism’. In his presentation he deconstructs the ‘common sense’ understanding of autism to ... Report sami University of Exeter: Open Research Exeter (ORE) |
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This is the final version. freely available from the SEN Policy Research Forum via the link in this record This policy seminar addressed these current issues and questions: i. Are there shifts from an interactive to within-child model of identification? And if so, what are the factors that are contributing to this, ii. What are the changing relationships between parents, schools and LAs and their influence on identification practice? And iii. What kind of identification and assessment framework do we need for the future? The first speaker Jo Hutchinson, from the Education Policy Institute, presented on “How fairly and effectively special educational needs and disabilities (SEND) are identified?’ in which she summarised her interim findings about school attainment and inclusion questions. One of her key findings was that about four in ten children have some interaction with the SEND system over the course of their schooling This is a lot more than the commonly held assumptions about SEN incidence (one in five or six). Further analysis indicated that factors that best predicted the identification of SEN Support in primary schools were measures of deprivation and prior attainment. There were moderate effects for absences, ethnicity, looked after child status and child in need status. Lesser but still significant factors were sex, months of birth, EAL status and school mobility. The communication language and literacy scale of the Early Years Foundation Stage Profile was the best predictor of being identified with SEND at the SEN Support level. Also, analysis showed that most of variation in SEN Support identification was predicted by school variations, indicating that individual effects were halved once school factors were taken into account. Analyses for secondary and SEN at the EHC Plan level were still be completed. Dr Sami Timimi, Consultant Child and Adolescent Psychiatrist, presented on ‘the social construction of autism’. In his presentation he deconstructs the ‘common sense’ understanding of autism to ... |
format |
Report |
author |
Hutchinson, J Timimi, S McKay, N |
spellingShingle |
Hutchinson, J Timimi, S McKay, N Trends in SEN identification: contexts, causes and consequences |
author_facet |
Hutchinson, J Timimi, S McKay, N |
author_sort |
Hutchinson, J |
title |
Trends in SEN identification: contexts, causes and consequences |
title_short |
Trends in SEN identification: contexts, causes and consequences |
title_full |
Trends in SEN identification: contexts, causes and consequences |
title_fullStr |
Trends in SEN identification: contexts, causes and consequences |
title_full_unstemmed |
Trends in SEN identification: contexts, causes and consequences |
title_sort |
trends in sen identification: contexts, causes and consequences |
publisher |
SEN Policy Research Forum |
publishDate |
2020 |
url |
http://hdl.handle.net/10871/123468 |
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sami |
genre_facet |
sami |
op_relation |
https://senpolicyresearchforum.co.uk/past-policy-papers/ SEN Policy Research Forum Policy Paper 44 http://hdl.handle.net/10871/123468 |
op_rights |
© 2020 SEN Policy Research Forum http://www.rioxx.net/licenses/all-rights-reserved |
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1810475450337591296 |