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41.
ABSTRACT

Over the past 50 years, research has shown that teacher expectations can influence student outcomes. Many studies have examined within-year effects. There is, however, a paucity of research that has investigated the stability of teachers’ expectations across a single year, and there are no studies that have examined stability beyond 1 year. The current study examined the stability of 94 teachers’ expectations within 3 separate years and across 3 years in mathematics and reading. In both subject areas, teachers’ expectations remained relatively stable from beginning to end-of-year for each separate year and also across 3 years. Additionally, teachers who under- or overestimated their students by more than half a standard deviation continued to do so across all periods in the study. This was despite the teachers having different students each year. The study suggests that teachers view students’ capabilities similarly despite having different student cohorts.  相似文献   
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The inclusion of children with special educational needs into mainstream schools needs effort and cooperation by all those involved. Both educators and medical professions need to be skilled in identifying and supporting neurodiversity. This study explores the cross-professional understanding and support of four of the most prevalent neurodiversities: autism spectrum condition, attention deficit hyperactivity disorder, developmental coordination disorder and dyslexia, to evaluate the efficiency of the diagnostic pathway and the subsequent support. Questionnaires were distributed throughout a number of training events for medical and educational practitioners asking what a condition was, and how it could be supported. Using a thematic analysis, data from 189 responses were examined and cross-referenced with diagnostic criteria, in addition to identifying the overarching themes of support. Results show a serious gap in awareness and knowledge of neurodiversity in both medical and educational sectors, followed by a cacophony of intervention, breaking the pathway for diagnosis before it begins and ultimately failing children and their families.  相似文献   
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There is still little consensus on whether and how teaching is affected by small and large classes, especially in the case of students in the later primary years. This study investigated effects of class size on teaching of pupils aged 7 – 11 years. We used a multimethod approach, integrating qualitative information from teachers' end-of-year accounts and data from case studies with quantitative information from systematic observations. Results showed that there was more individual attention in smaller classes, a more active role for pupils, and beneficial effects on the quality of teaching. It is suggested that teachers in both large and small classes need to develop strategies for more individual attention but also recognize the benefits of other forms of learning, for example, group work.  相似文献   
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Teaching assistants (TAs) are part of a growing international trend toward paraprofessionals working in public services. There has been controversy over TAs’ deployment and appropriate role when supporting the learning of pupils with special educational needs (SEN) in mainstream schools. Such debates have been transformed by findings from a large study of school support staff in the UK (the DISS project). The findings from this study show that TA support has a negative impact on pupils’ academic progress, especially pupils with SEN. The findings render the current system of support for SEN highly questionable: TAs have inadvertently become the primary educators of pupils with SEN. This paper sets out the likely explanations for the negative effects in terms of three ‘frames’ – deployment, practice and preparedness – and then uses these frames to identify specific implications for pupils with SEN. We offer suggestions on how to make the most productive use of TA support.  相似文献   
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Artificial intelligence tools for education (AIEd) have been used to automate the provision of learning support to mainstream learners. One of the most innovative approaches in this field is the use of data and machine learning for the detection of a student’s affective state, to move them out of negative states that inhibit learning, into positive states such as engagement. In spite of their obvious potential to provide the personalisation that would give extra support for learners with intellectual disabilities, little work on AIEd systems that utilise affect recognition currently addresses this group. Our system used multimodal sensor data and machine learning to first identify three affective states linked to learning (engagement, frustration, boredom) and second determine the presentation of learning content so that the learner is maintained in an optimal affective state and rate of learning is maximised. To evaluate this adaptive learning system, 67 participants aged between 6 and 18 years acting as their own control took part in a series of sessions using the system. Sessions alternated between using the system with both affect detection and learning achievement to drive the selection of learning content (intervention) and using learning achievement alone (control) to drive the selection of learning content. Lack of boredom was the state with the strongest link to achievement, with both frustration and engagement positively related to achievement. There was significantly more engagement and less boredom in intervention than control sessions, but no significant difference in achievement. These results suggest that engagement does increase when activities are tailored to the personal needs and emotional state of the learner and that the system was promoting affective states that in turn promote learning. However, longer exposure is necessary to determine the effect on learning.  相似文献   
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