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Understanding the Complexities of Student Learning Progress in Texas: A Study of COVID-19 and Rural vs. Non-Rural Districts.
Tang, Shifang; Wang, Zhuoying; Zhang, Lei; Jimenez, David.
Afiliação
  • Tang S; Department of Psychology and Special Education, College of Education and Human Services, Texas A&M University-Commerce, Commerce, TX 75428, USA.
  • Wang Z; Texas Advanced Computing Center, The University of Texas at Austin, Austin, TX 78712, USA.
  • Zhang L; Department of Psychology and Special Education, College of Education and Human Services, Texas A&M University-Commerce, Commerce, TX 75428, USA.
  • Jimenez D; School of Education and Human Development, Texas A&M University, Corpus Christi, TX 78406, USA.
Behav Sci (Basel) ; 14(5)2024 May 14.
Article em En | MEDLINE | ID: mdl-38785899
ABSTRACT
In this study, we investigate the impact of COVID-19 on academic achievement in Texas public schools. Demographic and Grade 5 STAAR test data were collected from 1155 public school districts for 2018-2019 and 2020-2021. Multiple regression was adopted to analyze the differences between rural and non-rural districts, as well as the impact of demographic characteristics on students' achievement. The results reveal significant differences in demographic characteristics between the two academic years, with non-rural districts exhibiting a greater decline in academic achievement than rural districts. Additionally, the findings suggest that higher teacher salaries correlate with better academic performance across various subjects and that English learners require additional support to acquire content knowledge and skills. We further confirm that the COVID-19 pandemic has disrupted the academic learning experience of Texas students, with rural districts displaying more resilience than non-rural districts.
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Revista: Behav Sci (Basel) Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Base de dados: MEDLINE Idioma: En Revista: Behav Sci (Basel) Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Estados Unidos