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Phillip A. Morris; Jim Burke; Jen Weiss – Journal of Student Financial Aid, 2024
This study examined the relationship between individual and institutional characteristics for student veterans who borrow money while enrolled in degree-seeking programs. Using data from the National Postsecondary Student Aid Study (NPSAS 16), we established predictors of borrowing, implications of borrowing, and examined patterns in total aid…
Descriptors: Veterans, Student Financial Aid, Nontraditional Students, Individual Characteristics
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Wang, Yuancheng; Luo, Nanyu; Zhou, Jianjun – International Educational Data Mining Society, 2022
Doing assignments is a very important part of learning. Students' assignment submission time provides valuable information on study attitudes and habits which strongly correlate with academic performance. However, the number of assignments and their submission deadlines vary among university courses, making it hard to use assignment submission…
Descriptors: College Students, Assignments, Time, Scheduling
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Ezell, Jordan; Hogan, Abigail; Fairchild, Amanda; Hills, Kimberly; Klusek, Jessica; Abbeduto, Leonard; Roberts, Jane – Journal of Autism and Developmental Disorders, 2019
Anxiety disorders affect ~ 15-20% of youths without neurodevelopmental disorders, with persons having autism spectrum disorder (ASD) and fragile X syndrome (FXS) at elevated risk for anxiety disorders. Few studies have compared rates and predictors of anxiety disorders in adolescents with FXS or ASD. This study directly compares rates, predictors,…
Descriptors: Incidence, Predictor Variables, Anxiety, Anxiety Disorders
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Erbeli, Florina; He, Kai; Cheek, Connor; Rice, Marianne; Qian, Xiaoning – Scientific Studies of Reading, 2023
Purpose: Researchers have developed a constellation model of decodingrelated reading disabilities (RD) to improve the RD risk determination. The model's hallmark is its inclusion of various RD indicators to determine RD risk. Classification methods such as logistic regression (LR) might be one way to determine RD risk within the constellation…
Descriptors: At Risk Students, Reading Difficulties, Classification, Comparative Analysis
Namrata Murthy – ProQuest LLC, 2021
Demand is high for engineering students and educators must identify factors affecting persistence and graduation of engineers. Retention and graduation rates remain problematic for many institutions. Higher education research focuses on these two issues as many students head to engineering programs with a wide range of attributes, characteristics,…
Descriptors: Academic Persistence, School Holding Power, Predictor Variables, Engineering Education
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Whitney, Camille R.; Liu, Jing – AERA Open, 2017
For schools and teachers to help students develop knowledge and skills, students need to show up to class. Yet absenteeism is prevalent, especially in secondary schools. This study uses a rich data set tracking class attendance by day for over 50,000 middle and high school students from an urban district in academic years 2007-2008 through…
Descriptors: Attendance, Secondary School Students, Adolescents, At Risk Students
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Brian, Ali S.; Haegele, Justin A.; Bostick, Laura; Lieberman, Lauren J.; Nesbitt, Danielle – Journal of Visual Impairment & Blindness, 2018
Because children with visual impairments tend to be inactive, they are 1.5 times more likely to be considered overweight or obese than are their sighted peers. Although some barriers to physical activity have been identified (for example, lack of opportunity and transportation issues); little has been done to empirically identify predictors of…
Descriptors: Pilot Projects, Visual Impairments, Psychomotor Skills, Vision
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Wilner, Molly; Kerr, Bradley; Moreno, Megan – College Student Journal, 2018
Background: This study aimed to investigate the relationship between Facebook age presentation, Facebook alcohol displays, and alcohol related risk factors among college students. Methods: Students from two universities in the United States enrolled and accepted a researcher's Facebook friend request. Participant's Facebook profiles were evaluated…
Descriptors: Social Media, Drinking, Alcohol Abuse, Age
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January, Stacy-Ann A.; Van Norman, Ethan R.; Christ, Theodore J.; Ardoin, Scott P.; Eckert, Tanya L.; White, Mary Jane – School Psychology Review, 2018
The present study examined the utility of two progress monitoring assessment schedules (bimonthly and monthly) as alternatives to monitoring once weekly with curriculum-based measurement in reading (CBM-R). General education students (N = 93) in Grades 2-4 who were at risk for reading difficulties but not yet receiving special education services…
Descriptors: Progress Monitoring, Reading Improvement, Reading Tests, Student Evaluation
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Shelton, Brett E.; Hung, Jui-Long; Lowenthal, Patrick R. – Distance Education, 2017
Early-warning intervention for students at risk of failing their online courses is increasingly important for higher education institutions. Students who show high levels of engagement appear less likely to be at risk of failing, and how engaged a student is in their online experience can be characterized as factors contributing to their social…
Descriptors: Asynchronous Communication, Online Courses, Educational Technology, Integrated Learning Systems
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Buzzetta, Mary E.; Lenz, Janet G.; Kennelly, Emily – NACADA Journal, 2017
In this study, we explored the career variables of goal instability, vocational identity, and career decidedness levels in two groups of student-athletes. We compared scholarship student-athletes who had been selected to participate in a summer academic-support program designed for at-risk students to scholarship athletes who were not included in…
Descriptors: Career Counseling, Predictor Variables, Athletes, College Athletics
Dougherty, Danielle M. – ProQuest LLC, 2018
Students who are English Language Learners (ELLs) are at greater risk for negative school outcomes than their English proficient counterparts. Previous research has demonstrated the importance of engagement to promote academic achievement among students. However, little research has been conducted examining engagement among students who are ELLs.…
Descriptors: English Language Learners, Longitudinal Studies, Surveys, Kindergarten
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Doabler, Christian T.; Clarke, Ben; Kosty, Derek; Turtura, Jessica E.; Firestone, Allison R.; Smolkowski, Keith; Jungjohann, Kathleen; Brafford, Tasia L.; Nelson, Nancy J.; Sutherland, Marah; Fien, Hank; Maddox, Steven A. – Exceptional Children, 2019
Well-designed mathematics instruction focused on concepts and problem-solving skills associated with measurement and data analysis can build a foundational understanding for more advanced mathematics. This study investigated the efficacy of the Precision Mathematics Level 1 (PM-L1) intervention, a Tier 2 print- and technology-based mathematics…
Descriptors: Mathematics Instruction, Problem Solving, Grade 1, Elementary School Students
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Deussen, Theresa; Hanson, Havala; Bisht, Biraj – Regional Educational Laboratory Northwest, 2017
Students who drop out of high school are at increased risk of a range of negative social and economic consequences, including lower earnings and poorer health. To reduce dropout rates and lessen these negative consequences, districts around the country are using early warning indicators to identify and provide supports for students at risk of…
Descriptors: At Risk Students, High School Students, Dropouts, English Language Learners
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DuPaul, George J.; Franklin, Melanie K.; Pollack, Brittany L.; Stack, Kristen S.; Jaffe, Aliza R.; Gormley, Matthew J.; Anastopoulos, Arthur D.; Weyandt, Lisa L. – Journal of Postsecondary Education and Disability, 2018
College students with attention-deficit/hyperactivity disorder (ADHD) are at greater risk than peers for impaired educational functioning; however, little is known regarding their longitudinal academic outcomes. This study examined: (a) differences between ADHD and control participants in academic outcomes (i.e., semester GPA, credits attempted,…
Descriptors: College Students, Attention Deficit Hyperactivity Disorder, At Risk Students, Control Groups
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