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Hawk, Nathan A.; Vongkulluksn, Vanessa W.; Xie, Kui; Bowman, Margaret A. – Journal of Computer Assisted Learning, 2021
Prior studies have focused on general technology use and technology use in domain-general applications and quantity of technology use. Recent evidence suggests that investigations should consider how technology is used in more contextually specific ways, including how technology is used for various cognitive tasks in specific classrooms. The…
Descriptors: Cognitive Processes, High School Students, Technology Uses in Education, Influences
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Keyes, Tasha Seneca; Heath, Ryan D. – School Community Journal, 2023
Past research suggests that a sense of belonging to a community is developmentally important for adolescents and affects their engagement in school, especially during the transition to high school. However, little research examines the teaching practices that simultaneously foster classroom belonging and behavioral engagement to create a classroom…
Descriptors: Teaching Methods, Student Attitudes, Learner Engagement, Classroom Environment
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Kathy L. Malone; Anita Schuchardt – European Journal of Science and Mathematics Education, 2023
Due to the increased use of scientific models and modelling in K-12 education, there is a need to uncover its effects on students over time. Prior research has shown that the use of scientific modelling in K-12 classes is associated with improved conceptual knowledge and problem-solving skills. However, few studies have explicitly tested the…
Descriptors: STEM Education, Hierarchical Linear Modeling, Modeling (Psychology), Teaching Methods
Neba Afanwi Nfonsang – ProQuest LLC, 2022
This study used a propensity score approach to estimate treatment effects in a multilevel setting. The propensity score approach involves the estimation of propensity scores for covariate balancing and the estimation of treatment effects. This study aimed at understanding how propensity scores estimated through a simple logistic regression compare…
Descriptors: Hierarchical Linear Modeling, Scores, High School Students, Grade 10
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Wang, Cixin; La Salle, Tamika; Wu, Chaorong; Liu, Jia Li – School Psychology Review, 2022
Support from parents and school staff are important for adolescent well-being. However, few studies have examined the role of parental involvement and adult social support at school on high school students' mental health, specifically, suicidal thoughts and behaviors (STBs). Data were collected from 362,980 high school students (51.85% female)…
Descriptors: Parent Participation, Adults, Social Support Groups, Suicide
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McCahey, Angela; Allen, Kelly-Ann; Arslan, Gokmen – Psychology in the Schools, 2021
School belonging is an important component of adolescent well-being, yet little is known about its relationship with adolescents' Information Communication Technology (ICT) use. This study aimed to examine the relationship between school belonging and various ICT use types in Australian adolescents. The sample was drawn from 14,530 Australian…
Descriptors: Technology Uses in Education, Information Technology, Communication (Thought Transfer), Sense of Community
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Wilson-Daily, Ann E.; Kemmelmeier, Markus – Youth & Society, 2021
Focusing on youth attitudes during a time of political upheaval in Catalonia, we study 1,438 high school students, aged 15 to 16, nested within 30 high schools. Using multilevel analyses, we examine their perceptions of the importance of voting across different election types (independence referendum, local, subnational, national, supernational)…
Descriptors: Foreign Countries, Voting, Citizen Participation, High School Students
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Tan, Dongyao; Maeda, Yukiko – International Journal of Science Education, 2021
High school is a critical period for science identity development. Teacher influences are important but under-researched. Teachers' growth-mindset practices may help students meet the growing challenges to their ability, achievement, and identity in science and have long-term influences, especially for underrepresented students. We explored U.S.…
Descriptors: Teacher Attitudes, Science Teachers, Student Attitudes, High School Students
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Chang, Mido; Kim, Sunha; Bang, Hyejin – Educational Practice and Theory, 2021
This study examined the influences of teacher support and school environment on 10th graders' mathematics achievements, controlling for socioeconomic status, gender, and mathematics self-efficacy, and the differential influences of these factors for White and Black students in the USA. A sample of 8,682 White and 2,020 Black students who…
Descriptors: Teacher Influence, Mathematics Achievement, Racial Differences, African American Students
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Forrow, Lauren; Starling, Jennifer; Gill, Brian – Regional Educational Laboratory Mid-Atlantic, 2023
The Every Student Succeeds Act requires states to identify schools with low-performing student subgroups for Targeted Support and Improvement or Additional Targeted Support and Improvement. Random differences between students' true abilities and their test scores, also called measurement error, reduce the statistical reliability of the performance…
Descriptors: At Risk Students, Low Achievement, Error of Measurement, Measurement Techniques
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Regional Educational Laboratory Mid-Atlantic, 2023
This Snapshot highlights key findings from a study that used Bayesian stabilization to improve the reliability (long-term stability) of subgroup proficiency measures that the Pennsylvania Department of Education (PDE) uses to identify schools for Targeted Support and Improvement (TSI) or Additional Targeted Support and Improvement (ATSI). The…
Descriptors: At Risk Students, Low Achievement, Error of Measurement, Measurement Techniques
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Regional Educational Laboratory Mid-Atlantic, 2023
The "Stabilizing Subgroup Proficiency Results to Improve the Identification of Low-Performing Schools" study used Bayesian stabilization to improve the reliability (long-term stability) of subgroup proficiency measures that the Pennsylvania Department of Education (PDE) uses to identify schools for Targeted Support and Improvement (TSI)…
Descriptors: At Risk Students, Low Achievement, Error of Measurement, Measurement Techniques