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Assessing behavioral learning loss: measurement and treatment Issues in the time of COVID-19.

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Title: Assessing behavioral learning loss: measurement and treatment Issues in the time of COVID-19.
Authors: Sweeney, Dwight P.1 (AUTHOR), Gilliam, James E.2 (AUTHOR), Nicolaou, Maria1 (AUTHOR), Akimoto, Maria Elena1 (AUTHOR), Yerolkar, Kshitija1 (AUTHOR)
Source: Preventing School Failure. 2023, Vol. 67 Issue 3, p173-180. 8p. 4 Charts, 3 Graphs.
Subject Terms: *COVID-19 pandemic, *Child behavior, *Behavioral assessment, Children with autism spectrum disorders, COVID-19
Abstract: To date, most studies seeking to explore the impact of COVID-19 school closures on student outcomes have focused on cognitive/academic losses. This study explores changes in adaptive behaviors experienced by children and youth with autism spectrum disorders or other developmental disabilities when in-person, one-to-one behavior training was converted to telehealth delivery. Participants in this study were rated on the Adaptive Behavior Assessment System, 3rd Edition (ABAS-3) at three data points: pre-COVID; six months after COVID closure; and 12 months after COVID closure. ABAS-3 standard scores were evaluated to determine any losses or gains in adaptive behavior that occurred during the COVID shutdown of in-person programming. Issues related to assessment of behavior and delivery of telehealth programming are discussed. [ABSTRACT FROM AUTHOR]
Copyright of Preventing School Failure is the property of Taylor & Francis Ltd 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: Assessing behavioral learning loss: measurement and treatment Issues in the time of COVID-19.
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  Data: <searchLink fieldCode="JN" term="%22Preventing+School+Failure%22">Preventing School Failure</searchLink>. 2023, Vol. 67 Issue 3, p173-180. 8p. 4 Charts, 3 Graphs.
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  Data: *<searchLink fieldCode="DE" term="%22COVID-19+pandemic%22">COVID-19 pandemic</searchLink><br />*<searchLink fieldCode="DE" term="%22Child+behavior%22">Child behavior</searchLink><br />*<searchLink fieldCode="DE" term="%22Behavioral+assessment%22">Behavioral assessment</searchLink><br /><searchLink fieldCode="DE" term="%22Children+with+autism+spectrum+disorders%22">Children with autism spectrum disorders</searchLink><br /><searchLink fieldCode="DE" term="%22COVID-19%22">COVID-19</searchLink>
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  Data: To date, most studies seeking to explore the impact of COVID-19 school closures on student outcomes have focused on cognitive/academic losses. This study explores changes in adaptive behaviors experienced by children and youth with autism spectrum disorders or other developmental disabilities when in-person, one-to-one behavior training was converted to telehealth delivery. Participants in this study were rated on the Adaptive Behavior Assessment System, 3rd Edition (ABAS-3) at three data points: pre-COVID; six months after COVID closure; and 12 months after COVID closure. ABAS-3 standard scores were evaluated to determine any losses or gains in adaptive behavior that occurred during the COVID shutdown of in-person programming. Issues related to assessment of behavior and delivery of telehealth programming are discussed. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Preventing School Failure is the property of Taylor & Francis Ltd 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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        Value: 10.1080/1045988X.2023.2204863
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        Text: English
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              Text: 2023
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