Students identified with emotional and behavioural difficulties (EBD) present a special case within special educational needs (SEN) and inclusion. EBD is perhaps the only category of SEN that exposes a child to increased risk of exclusion as a function of the very SEN identified as requiring special provision in the first instance. Students identified with EBDshare an increased risk for disruptive behaviour. The use of exclusions as a strategy for responding to the special educational needs of these children is contrary to the notion of inclusion. Exclusions, by definition, reduce the ability of schools and associated agencies to work with children identified with SEN. Assuming a positive school effect on the academic and social development, reducing and/or interrupting the continuity of attendance via sanctions such as exclusion may exacerbate negative socio-behavioural developmental patterns, compounding identified risk factors and associated deleterious socio-emotional and cognitive/learning outcomes.

Recent developments in the Department for Education and Skills (DfES) have produced a national pupil database (NPD) that contains information about the attainments of individual pupils. Every child in the country has been allocated a unique pupil number (UPN), which means that the academic progress of individuals can be tracked over time. It is possible to combine data on attainment with the demographic information which is obtained from the pupil level annual schools census (PLASC). These innovations make it possible to combine ‘value added’ information about pupil progress from one key stage of education to the next with data from the PLASC, which contains pupil background information, to produce a single matched data set. Thus the NPD and the PLASC are able to provide much of the necessary information to explore issues of individual pupil performance over their school careers. Notably, more specific information about the academic achievement of pupils who are described as having ‘special educational needs’ is now available. Lani Florian, lecturer in inclusion and special educational needs, Martyn Rouse, senior lecturer in inclusion and special educational needs, Kristine Black‐Hawkins, senior research associate, and Stephen Jull, research associate, are all based at the University of Cambridge Faculty of Education. In this article, drawing on their work in the ‘Inclusion and Achievement Project’, they explore the problems and possibilities for researching issues of pupil achievement and inclusion through the use of these new national data sets.

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This paper reports the outcomes of a small‐scale exploratory study that examined the utility of a novel computer‐supported student behaviour self‐monitoring procedure called Auto‐Graph. The Auto‐Graph procedure is a universal classroom behaviour management strategy for responding to disruptive antisocial behaviours. It was designed to provide up‐to‐date information on student behaviours over time that might alert students and school staff to emerging problematic behavioural patterns. This strategy is consistent with an interest in school‐based early intervention. Furthermore, the Auto‐Graph design assumes generalised benefits of a continuous cycle of monitoring and feedback/reflection that might inform understandings regarding goodness‐of‐fit between student needs and educational provision. The present study explored basic questions pertaining to the utility of Auto‐Graph as a universal procedure in two ‘inclusive’ mainstream primary school classrooms. Results suggest a potential utility of the procedure in terms of supporting teachers and students in efforts directed at reducing disruptive antisocial behaviours, and by effect mediating the inclusion of potentially disruptive students in mainstream schools particularly when considering those identified with emotional and behavioural difficulties (EBD).

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