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David Devraj Kumar; Sharon Moffitt; Michael Hansen; Li Feng – Journal of Science Education and Technology, 2025
Results of a Principal Investigators Programmatic Data Inventory (PDI) of a National Science Foundation Robert Noyce Track Four project are discussed in this paper. The PDI results shed light on the development of STEM teacher scholars as they progress through the programs and of the qualifications and procedures of the application process. The…
Descriptors: STEM Education, Scholarships, Teacher Education Programs, At Risk Students
Gila Apelboim-Dushnitzky; Adina Shamir – European Journal of Special Needs Education, 2025
First graders with Developmental Language Disorder are considered at risk for exhibiting Specific Learning Disorder during school years. They also have deficiencies in their metacognitive skills, which leads to less effective learning processes. The current study examined, for the first time, the added value of various types of metacognitive…
Descriptors: Emergent Literacy, Children, At Risk Students, Learning Disabilities
Jacob S. Gray; Kelly A. Powell-Smith – Annals of Dyslexia, 2025
Rapid automatized naming (RAN) has surged in popularity recently as an important indicator of reading difficulties, including dyslexia. Despite an extensive history of research on RAN, including recent meta-analyses indicating a unique contribution of RAN to reading above and beyond phonemic awareness, questions remain regarding RAN's relationship…
Descriptors: Reading Rate, Naming, Scores, Reading Difficulties
Caroline Mierzwa; Nathaniel von der Embse; Eunsook Kim; Melissa Brown – Journal of Psychoeducational Assessment, 2025
Unaddressed social, emotional, and behavioral (SEB) needs and academic challenges may lead to negative youth outcomes. Universal behavioral risk screeners, like the student self-report Social, Academic, and Emotional Behavior Risk Screener (SAEBRS-SRS), identify at-risk students. To improve screening tool use, research is needed to identify the…
Descriptors: Psychological Patterns, Prediction, Academic Achievement, Screening Tests
Erin Barno – ProQuest LLC, 2025
This dissertation investigates how early career teachers' orientations of students and their mathematical activity, as surfaced their experience in a simulation, can reveal when their well-intentioned decisions might negatively impact traditionally underserved students. Three early career teachers engaged in two online simulations where they could…
Descriptors: Beginning Teachers, Mathematics Instruction, Computer Simulation, Vignettes
Robin Busse; Elisabeth Maué – Vocations and Learning, 2025
Preparing youth for the transition from school to work is a key labor market challenge in many countries. Across Europe, there are many educational programs to improve youth's school-to-work transitions. In Germany, youth with difficulties in their school-to-work transitions are channeled into prevocational programs to help them to enter…
Descriptors: Foreign Countries, Career and Technical Education, Education Work Relationship, Internship Programs
Joseph R. Cimpian; Mollie T. McQuillan – Educational Researcher, 2025
Recent data show rising suicidality among high school girls. We posit this increase may be related to an overlooked factor: more girls identifying as LGBQ. Using four cohorts of national Youth Risk Behavior Survey data (N = 22,562 females, N = 22,130 males), we found that LGBQ identification among females rose from 15% in 2015 to 34% in 2021. LGBQ…
Descriptors: High School Students, Gender Differences, LGBTQ People, At Risk Students
Sarah Ruth Morris; Sarah Clark McKenzie – Educational Forum, 2025
Freshman grades relate to academic outcomes, yet limited research explores which students face the highest risk of course failure. With logit analysis using a five-year Arkansas dataset (n = 164,688), we find that economically disadvantaged ninth-grade students are more likely to fail a course than their more privileged peers. This disparity…
Descriptors: High School Freshmen, Grade 9, Grades (Scholastic), Failure
Majdi Beseiso – TechTrends: Linking Research and Practice to Improve Learning, 2025
Predicting students' success is crucial in educational settings to improve academic performance and prevent dropouts. This study aimed to improve student performance prediction by combining advanced machine learning (ML) approaches. Convolutional Neural Networks (CNNs) and attention mechanisms were used for extracting relevant features from…
Descriptors: Prediction, Success, Academic Achievement, Artificial Intelligence
Juan E. Jiménez; Cristina Rodríguez; Jennifer Balade – Reading and Writing: An Interdisciplinary Journal, 2025
The main aim of this study was to evaluate the Early Grade Writing Assessment for Kindergarten (EGWA-K), which is grounded in foundational literacy skills, for its validity and diagnostic accuracy in identifying children at risk of developing early learning disabilities in writing (LDW). To the best of our knowledge, no such tool exists for…
Descriptors: Kindergarten, Writing Evaluation, Writing Skills, Functional Literacy
Eric V. Edmonds; Priya Mukherjee; Nikhilesh Prakash; Nishith Prakash; Shwetlena Sabarwal – National Bureau of Economic Research, 2025
We examine the impact of a randomized therapy intervention on Nepali adolescents at risk of school dropout. Our study is the largest of its kind (N = 1,707) and is novel in that participation does not require a preexisting diagnosis. Ninety percent of those offered therapy participated, with younger adolescents demonstrating higher compliance.…
Descriptors: Foreign Countries, Adolescents, Potential Dropouts, At Risk Students
Brittany N. Zakszeski; Heather E. Ormiston; Malena A. Nygaard; Kane Carlock – School Psychology Review, 2025
Despite the widespread use of school-based universal screening systems for social, emotional, and behavioral risk, limited research has examined discrepancies in ratings provided by teachers and their secondary students. Using the Social, Academic, and Emotional Behavior Risk Screener (SAEBRS; teacher report) and mySAEBRS (student report) scores…
Descriptors: Middle School Students, Middle School Teachers, Screening Tests, Affective Behavior
Danielle R. Harrell; Ambra L. Green; Janine Shuman; Aundraea Brown – Behavioral Disorders, 2025
Suicidal behaviors are relatively common among children, yet literature concerning the associated risks remains limited. Using a cumulative risk model, this study examined the effects of disability status, suspensions/expulsions, school disconnectedness, and negative peer relationships on suicidal behaviors. Data used were from The Future of…
Descriptors: Elementary School Students, Students with Disabilities, Suspension, Expulsion
Gena Nelson; Eunji Kong; Sarah Quinn; Derek Kosty; Emily J. Wilke; Ben Clarke – Learning Disabilities Research & Practice, 2025
This scoping review describes mathematics intervention studies that include initial skill moderation analyses. Sixteen studies were included that focused on students with or at risk for mathematics difficulties (MD). The results revealed that mathematics intervention studies with initial skill moderation analyses focused on students in…
Descriptors: Mathematics Instruction, Intervention, Mathematics Skills, Educational Research
Jolan Hanssens; Carolien Van Soom; Greet Langie – European Journal of Psychology of Education, 2025
The societal demand for graduates with expertise in Science, Technology, Engineering, and Mathematics (STEM) stands in contrast with prevalent issues of diminished interest among high school students in STEM subjects and low completion rates in STEM academic programs. In the Flemish educational context, heterogeneity in STEM preparedness of…
Descriptors: Foreign Countries, STEM Education, Higher Education, At Risk Students