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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
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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
Corey Thomas Throckmorton – ProQuest LLC, 2024
The purpose of this study was to explore the alternative education placement characteristics in the state of Arkansas and the demographics of the students placed in ALE. There are eleven characteristics of which two are required to be present in a student profile in order for a student to be placed in alternative education in Arkansas. This…
Descriptors: Nontraditional Education, Student Characteristics, At Risk Students, Discipline
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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
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Ormiston, Heather E.; Renshaw, Tyler L. – School Mental Health, 2023
Universal screening for social, emotional, and behavioral risk is an important method for identifying students in need of additional or targeted support (Eklund and Dowdy in School Mental Health 6:40-49, 2014). Research is needed to explore how potential bias may be implicated in universal screening. We investigated student demographics as…
Descriptors: Student Characteristics, Predictor Variables, At Risk Students, Student Placement
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Jaclyn Ocumpaugh; Rod D. Roscoe; Ryan S. Baker; Stephen Hutt; Stephen J. Aguilar – International Journal of Artificial Intelligence in Education, 2024
The artificial intelligence in education (AIED) community has produced technologies that are widely used to support learning, teaching, assessment, and administration. This work has successfully enhanced test scores, course grades, skill acquisition, comprehension, engagement, and related outcomes. However, the prevailing approach to adaptive and…
Descriptors: Artificial Intelligence, Educational Technology, Technology Uses in Education, Individualized Instruction
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Keanen M. McKinley – Research in Comparative and International Education, 2024
In this qualitative study, I worked with international students to understand how researchers can increase response rates to international student experience surveys. I explicitly framed international students as a potentially vulnerable and hard-to-reach population, and then considered barriers associated with vulnerable populations and research…
Descriptors: Response Rates (Questionnaires), Student Surveys, Feedback (Response), College Students
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Courtney E. O'Grady; Michaelene M. Ostrosky – Topics in Early Childhood Special Education, 2024
We explored how teachers perceived challenging behavior in contrast to behaviors that exemplify social-emotional competence, and how descriptions of behavior varied based on child demographics such as gender, race/ethnicity, and disability status. Using a DisCrit lens, we conducted this study under the assumption that perceptions of behavior may…
Descriptors: Early Childhood Education, Preschool Teachers, Teacher Attitudes, Child Behavior
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Melanie Fischer-Browne; Lea Ahrens; Corinna Kleinert; Brigitte Schels – Empirical Research in Vocational Education and Training, 2024
This study examines whether premature termination of vocational education and training (VET) is more likely when trainees have to make compromises between their realistic occupational aspirations and the occupation for which they are trained in terms of the occupational dimensions of gender type, prestige, and occupational interests. Specifically,…
Descriptors: Vocational Education, Academic Persistence, Student Characteristics, Grade 9
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Jialun Pan; Zhanzhan Zhao; Dongkun Han – IEEE Transactions on Learning Technologies, 2025
Properly predicting students' academic performance is crucial for elevating educational outcomes in various disciplines. Through precise performance prediction, schools can quickly pinpoint students facing challenges and provide customized educational materials suited to their specific learning needs. The reliance on teachers' experience to…
Descriptors: Prediction, Academic Achievement, At Risk Students, Artificial Intelligence
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Annie Goerdt; Faith Miller; Danielle Dupuis; Meg Olson – Journal of Psychoeducational Assessment, 2024
School-based universal screening in the social, emotional, and behavioral (SEB) domains allows for the early identification of students in need of SEB support. Importantly, equitable assessment in universal screening for the SEB domains is critical to engage in accurate and ethical data-based decision-making. Measurement invariance is one method…
Descriptors: Error of Measurement, Screening Tests, Student Behavior, Elementary School Students
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Jose Antonio Matías-García; Mercedes Cubero; Andrés Santamaría; Miguel Jesús Bascón – European Journal of Psychology of Education, 2024
In at-risk areas of social exclusion, a higher number of adolescents drop out of school. Dropout from compulsory education and early school leaving are associated with unemployment, poverty, and greater health problems, posing a significant threat to the youth's development and wellbeing. Nevertheless, some students manage to pursue formal…
Descriptors: Self Concept, Resilience (Psychology), Educational Experience, Risk
Yusuf Canbolat; Leslie Rutkowski; David Rutkowski – Annenberg Institute for School Reform at Brown University, 2024
Since the onset of COVID-19 pandemic, there has been a significant rise in student absenteeism in the US and elsewhere. Meanwhile, food insecurity remains a persistent issue across the globe, including in the US. Food insecurity shapes students' immediate and wider contexts and may worsen school attendance. Applying ecological systems theory, we…
Descriptors: Attendance, Hunger, Correlation, Student Characteristics
Schechter, Rachel L.; Lynch, Alicia D. – Online Submission, 2023
This study aims to measure the impact of 95 Percent Group's Phonological Awareness Lessons (PA Lessons), an intervention program designed primarily for Tier 2 or 3. The study is a replication of Schechter & Lynch (2023) research conducted in the same medium-sized school district, Val Verde Unified School District, in California during the…
Descriptors: Phonological Awareness, Kindergarten, Student Characteristics, Reading Skills
Brandon M. Finlay – ProQuest LLC, 2024
Every year, 600,000 formerly incarcerated people return to society, and over forty-four percent will be incarcerated again within a year. As advocates work to improve the conditions of reentry, recent efforts have focused on higher education as the ticket to long-term freedom for formerly incarcerated people. Any success of these efforts hinges on…
Descriptors: Correctional Rehabilitation, Undergraduate Students, Paying for College, Student Motivation
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