Reading, Writing, Math, and Content-Area Interventions for Improving Behavioral and Academic Outcomes of Students With Emotional and Behavioral Disorders.

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Title: Reading, Writing, Math, and Content-Area Interventions for Improving Behavioral and Academic Outcomes of Students With Emotional and Behavioral Disorders.
Authors: Campbell, Aaron R.1 arachellecampbell@tamu.edu, Bowman-Perrott, Lisa1, Burke, Mack D.1, Sallese, Mary Rose1
Source: Insights into Learning Disabilities. Fall2019, Vol. 16 Issue 2, p119-138. 20p.
Subject Terms: *At-risk students, *Special education, *Reading comprehension, *Acalculia, *Students, *Reading, Mathematics
Abstract: There is a strong connection between emotional and behavioral problems and academic outcomes across multiple domains for students with or atrisk of emotional and behavioral disorders (EBD). There is a growing body of research investigating this area within the field of special education. This article summarized findings from seven systematic reviews and five meta-analyses focused on academic, curricular, and instructional interventions for students with or at-risk for EBD. The reviews specifically focused on the domains of reading, writing, math, and content area instruction. A total of 3,366 students with or at-risk for EBD in grades K-12 were participants across all 12 reviews. Implications are provided for improving applied practice for students with or at-risk of EBD. [ABSTRACT FROM AUTHOR]
Copyright of Insights into Learning Disabilities is the property of Learning Disabilities Worldwide and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Education Research Complete
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  Data: Reading, Writing, Math, and Content-Area Interventions for Improving Behavioral and Academic Outcomes of Students With Emotional and Behavioral Disorders.
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  Data: <searchLink fieldCode="JN" term="%22Insights+into+Learning+Disabilities%22">Insights into Learning Disabilities</searchLink>. Fall2019, Vol. 16 Issue 2, p119-138. 20p.
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  Data: *<searchLink fieldCode="DE" term="%22At-risk+students%22">At-risk students</searchLink><br />*<searchLink fieldCode="DE" term="%22Special+education%22">Special education</searchLink><br />*<searchLink fieldCode="DE" term="%22Reading+comprehension%22">Reading comprehension</searchLink><br />*<searchLink fieldCode="DE" term="%22Acalculia%22">Acalculia</searchLink><br />*<searchLink fieldCode="DE" term="%22Students%22">Students</searchLink><br />*<searchLink fieldCode="DE" term="%22Reading%22">Reading</searchLink><br /><searchLink fieldCode="DE" term="%22Mathematics%22">Mathematics</searchLink>
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  Data: There is a strong connection between emotional and behavioral problems and academic outcomes across multiple domains for students with or atrisk of emotional and behavioral disorders (EBD). There is a growing body of research investigating this area within the field of special education. This article summarized findings from seven systematic reviews and five meta-analyses focused on academic, curricular, and instructional interventions for students with or at-risk for EBD. The reviews specifically focused on the domains of reading, writing, math, and content area instruction. A total of 3,366 students with or at-risk for EBD in grades K-12 were participants across all 12 reviews. Implications are provided for improving applied practice for students with or at-risk of EBD. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Insights into Learning Disabilities is the property of Learning Disabilities Worldwide and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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