NotesFAQContact Us
Collection
Advanced
Search Tips
Showing 121 to 135 of 924 results Save | Export
Peer reviewed Peer reviewed
Direct linkDirect link
Caroline G. Hodgson; Wes Bonifay; Wenxi Yang; Keith C. Herman – Grantee Submission, 2023
Background: Technically sound measures are necessary for accurately identifying youth at risk for depression, but many studies rely on classical test theory metrics or adult samples to evaluate measures. This study examined the use of the PHQ-8, a common and freely available pediatric depression screener, in an adolescent sample using item…
Descriptors: Depression (Psychology), Measurement, Screening Tests, Adolescents
Peer reviewed Peer reviewed
Direct linkDirect link
Chelsea A. Kaihoi; Summer S. Braun; Jessika H. Bottiani; Catherine P. Bradshaw – Grantee Submission, 2023
Teachers' classroom management practices are an essential aspect of supporting student engagement, yet they often vary in response to changing conditions in the classroom. This study explored the variability within middle school teachers' observed practice and their students' engagement as a function of contextual factors. Observers visited…
Descriptors: Middle School Teachers, Classroom Techniques, Learner Engagement, Context Effect
Peer reviewed Peer reviewed
Direct linkDirect link
Phoebe Jordan; S. Andrew Garbacz – Grantee Submission, 2023
Family-school partnership interventions can effectively address behavioral concerns in students (Smith et al., 2020). However, little is known about factors impacting successful delivery of behavioral strategies by parents and teachers in the context of such interventions, particularly for adolescent populations. This study used a mixed methods…
Descriptors: Middle School Students, Behavior Modification, Consultation Programs, Family School Relationship
Lee LeBoeuf; Jacob Goldstein-Greenwood; Angeline S. Lillard – Grantee Submission, 2023
In this study, we asked whether Montessori schools, which tend to have high student engagement, are associated with lower average rates of chronic absenteeism and/or smaller racial disparities therein relative to non-Montessori schools. We use multilevel modeling to answer this question, following an approach proposed in Author et al., (in press)…
Descriptors: Montessori Schools, Elementary Schools, Middle Schools, High Schools
Lauren E. Decker-Woodrow; Craig A. Mason; Ji-Eun Lee; Jenny Yun-Chen Chan; Adam Sales; Allison Liu; Shihfen Tu – Grantee Submission, 2023
The current study investigated the effectiveness of three distinct educational technologies--two game-based applications (From Here to There and DragonBox 12+) and two modes of online problem sets in ASSISTments (an Immediate Feedback condition and an Active Control condition with no immediate feedback) on Grade 7 students' algebraic knowledge.…
Descriptors: Educational Technology, Algebra, COVID-19, Pandemics
Linsen Li; Aron Culotta; Douglas N. Harris; Nicholas Mattei – Grantee Submission, 2023
School rating websites are increasingly used by parents to assess the quality and fit of U.S. K-12 schools for their children. These online reviews often contain detailed descriptions of a school's strengths and weaknesses, which both reflect and inform perceptions of a school. Existing work on these text reviews has focused on finding words or…
Descriptors: Elementary Schools, Middle Schools, Secondary Schools, Educational Change
Peer reviewed Peer reviewed
Direct linkDirect link
Feng Chen; Douglas N. Harris – Grantee Submission, 2023
We study the total, market-level effects of charter schools, and their mechanisms, on a national level and across multiple outcomes. Using a generalized difference-in-differences method, we find that increasing the charter market share by 10 percentage points increases math and ELA elementary/middle test scores of the entire geographic district in…
Descriptors: Charter Schools, Outcomes of Education, School Districts, Competition
Peer reviewed Peer reviewed
Direct linkDirect link
Burhan Ogut; Ruhan Circi – Grantee Submission, 2023
The purpose of this study was to explore high school course-taking sequences and their relationship to college enrollment. Specifically, we implemented sequence analysis to discover common course-taking trajectories in math, science, and English language arts using high school transcript data from a recent nationally representative survey. Through…
Descriptors: High School Students, Course Selection (Students), Correlation, College Attendance
Peer reviewed Peer reviewed
Direct linkDirect link
Burhan Ogut; Darrick Yee; Ruhan Circi; Nevin Dizdari – Grantee Submission, 2023
Research shows that the intensity of high school course-taking is related to postsecondary outcomes. However, there are various approaches to measuring the intensity of students' course-taking. This study presents new measures of coursework intensity that rely on differing levels of quantity and quality of coursework. We used these new indices to…
Descriptors: Course Selection (Students), High School Students, Difficulty Level, Age Differences
Victoria J. VanUitert; Michael J. Kennedy; Katherine N. Peeples; John Elwood Romig; Hannah M. Mathews; Wendy J. Rodgers – Grantee Submission, 2023
Understanding science allows students with and without developmental and behavioral-based (DB) disabilities to better appreciate the world around them as well as prepare them for the growing science-related job market. However, students in the United States consistently underperform on science achievement tests compared to students from other…
Descriptors: Students with Disabilities, Developmental Disabilities, Behavior Problems, Science Education
Lindsay M. Griendling; Victoria J. VanUitert; Michael J. Kennedy; Wendy J. Rodgers; John Elwood Romig; Hannah Morris Mathews; Katherine N. Peeples – Grantee Submission, 2023
Student achievement disparities in inclusive science classrooms are concerning, as knowledge about science, technology, engineering, and mathematics (STEM) is increasingly important for upward mobility. When students identify with multiple marginalized sociocultural groups, progress becomes more troubling, as the interplay among these factors is…
Descriptors: Intersectionality, Faculty Development, Inclusion, Science Education
Michelle P. Banawan; Jinnie Shin; Tracy Arner; Renu Balyan; Walter L. Leite; Danielle S. McNamara – Grantee Submission, 2023
Academic discourse communities and learning circles are characterized by collaboration, sharing commonalities in terms of social interactions and language. The discourse of these communities is composed of jargon, common terminologies, and similarities in how they construe and communicate meaning. This study examines the extent to which discourse…
Descriptors: Algebra, Discourse Analysis, Semantics, Syntax
Lindsay M. Fallon; Sadie C. Cathcart; Austin H. Johnson; Takuya Minami; Breda V. O'Keeffe; Emily R. DeFouw; George Sugai – Grantee Submission, 2023
When students require support to improve outcomes in a variety of domains, educators provide youth with school-based intervention. When educators require support to improve their professional practice, school leaders and support personnel (e.g., school psychologists) provide teachers with professional development (PD), consultation and coaching.…
Descriptors: Self Evaluation (Individuals), Culturally Relevant Education, Faculty Development, Decision Making
Katrina J. Debnam; Lora Henderson Smith; David Aguayo; Wendy Reinke; Keith Herman – Grantee Submission, 2023
The current study provided voice to nominated exemplar classroom teachers in identifying malleable, discrete aspects of the classroom environment, teacher behavior and practices that define culturally responsive instruction. Interview data from a sample of 13 teachers was analyzed using a consensual qualitative research approach. Results provided…
Descriptors: Teacher Attitudes, Culturally Relevant Education, Teaching Methods, Classroom Environment
Husni Almoubayyed; Stephen E. Fancsali; Steve Ritter – Grantee Submission, 2023
Adaptive educational software is likely to better support broader and more diverse sets of learners by considering more comprehensive views (or models) of such learners. For example, recent work proposed making inferences about "non-math" factors like reading comprehension while students used adaptive software for mathematics to better…
Descriptors: Reading Ability, Computer Software, Mathematics Education, Intelligent Tutoring Systems
Pages: 1  |  ...  |  5  |  6  |  7  |  8  |  9  |  10  |  11  |  12  |  13  |  ...  |  62