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Lee, Kathleen S.; Rix, Brad; Spivey, Michael Z. – Chemistry Education Research and Practice, 2023
Organic Chemistry I presents challenges to many students pursuing diverse fields of study, oftentimes curtailing further progress in those fields. The ability to identify students at risk of unsuccessful course outcomes may lead to improved success rates by offering tailored resources to those students. Previously identified predictors include…
Descriptors: Organic Chemistry, Predictor Variables, Success, Mathematics Skills
Bedore, Lisa M.; Peña, Elizabeth D.; Collins, Penelope; Fiestas, Christine; Lugo-Neris, Mirza; Barquin, Elisa – Child Language Teaching and Therapy, 2023
Purpose: There are well-established links between oral language and reading development in monolingual English-speaking children that are associated with literacy outcomes. Oral language, defined relative to lexical quality, provides key support for developing early reading skills. For bilingual children, the connection between oral language and…
Descriptors: Elementary School Students, Grade 1, Bilingual Students, Literacy
Mamiya, Blain; Powell, Cynthia B.; Shelton, G. Robert; Dubrovskiy, Anton; Villalta-Cerdas, Adrian; Broadway, Susan; Weber, Rebecca; Mason, Diana – Journal of College Science Teaching, 2022
This article looks at the effects of environmental factors such as classification, residence location, and employment status of Hispanic students who unsuccessfully completed first-semester general chemistry (Chem I) at a Hispanic-Serving or emerging Hispanic-Serving Institution. Students' automaticity skills in arithmetic and quantitative…
Descriptors: Environmental Influences, At Risk Students, Hispanic American Students, Chemistry
Paul Attewell; Christopher Maggio; Frederick Tucker; Jay Brooks; Matt S. Giani; Xiaodan Hu; Tod Massa; Feng Raoking; David Walling; Nathan Wilson – Journal of Postsecondary Student Success, 2022
This paper reports the results of a four-state collaboration--Illinois, New York, Texas, and Virginia--that uses Student Unit Record Database Systems that track students from high school into college. The goal is to determine whether it is possible to accurately predict whether individual students will not graduate using very early indicators…
Descriptors: At Risk Students, Graduation Rate, Grade Point Average, Standardized Tests
Marah Sutherland; Taylor Lesner; Derek Kosty; Cayla Lussier; Keith Smolkowski; Jessica Turtura; Christian T. Doabler; Ben Clarke – Journal of Learning Disabilities, 2023
High-quality Tier 1 instruction is frequently conceptualized as the "foundation" for other tiers of intervention within multitiered systems of support (MTSS) models. However, the vast majority of Tier 2 intervention studies do not account for Tier 1 variables when examining intervention effectiveness. The purpose of this study was to…
Descriptors: Multi Tiered Systems of Support, Mathematics Instruction, Intervention, Fidelity
Piña-Watson, Brandy; Cox, Kassidy; Neduvelil, Ashley – Journal of American College Health, 2021
Objective: This study investigates cultural and general coping strategies as potential protective or risk factors to risky sexual behaviors (RSBs) and alcohol use in the face of discrimination for Mexican descent college students. Participants: Data collection was conducted from September 2016 to May 2017 and included 796 Mexican descent emerging…
Descriptors: Mexican Americans, Hispanic American Students, Student Behavior, Health Behavior
Juana Nathali Pina Saldivar – ProQuest LLC, 2023
Students enrolled in public education schools in the State of Texas are required to participate in and secure passage of a norm-referenced state assessment in different grade levels and subject areas. The State of Texas Assessment of Academic Readiness (STAAR) is the norm-referenced assessment used for students in grades third through eighth, and…
Descriptors: Predictor Variables, Achievement Tests, At Risk Students, Rural Schools
Marah Sutherland; Taylor Lesner; Derek Kosty; Cayla Lussier; Keith Smolkowski; Jessica Turtura; Christian T. Doabler; Ben Clarke – Grantee Submission, 2022
High-quality Tier 1 instruction is frequently conceptualized as the "foundation" for other tiers of intervention within multi-tiered systems of support (MTSS) models (Gersten et al., 2009). However, the vast majority of Tier 2 intervention studies do not account for Tier 1 variables when examining intervention effectiveness (Hill et al.,…
Descriptors: Multi Tiered Systems of Support, Mathematics Instruction, Intervention, Fidelity
Chien, Hsiang-Yu; Kwok, Oi-Man; Yeh, Yu-Chen; Sweany, Noelle Wall; Baek, Eunkyeng; McIntosh, William – Online Learning, 2020
The purpose of this study was to investigate a predictive model of online learners' learning outcomes through machine learning. To create a model, we observed students' motivation, learning tendencies, online learning-motivated attention, and supportive learning behaviors along with final test scores. A total of 225 college students who were…
Descriptors: Identification, At Risk Students, College Students, Psychological Patterns
Lee, Han Bum; Villarreal, Michael U. – Texas Education Research Center, 2021
This study examines the effect of dual enrollment (DE) on college enrollment and degree completion for less academically prepared students who attended public high schools in Texas. The authors employ a propensity score matching method to reduce selection bias from DE participation and supplement the analysis with a bounds test. The results show…
Descriptors: At Risk Students, Dual Enrollment, High School Students, Predictor Variables
Moore, LaSonya; Rosenblatt, Kara; Badgett, Kevin; Eldridge, James – Online Submission, 2018
Teacher turnover in urban high-poverty schools is detrimental to students' achievement. In fact, one of the most prevalent social justice issues today is the unequal distribution of experienced teachers to urban high-poverty schools. Researchers suggest that experienced teachers are more effective at raising student performance than new or early…
Descriptors: Urban Teaching, Teacher Persistence, Tenure, Beginning Teachers
Baker, Ryan S.; Berning, Andrew W.; Gowda, Sujith M.; Zhang, Shizhu; Hawn, Aaron – Journal of Education for Students Placed at Risk, 2020
Dropout remains a persistent challenge within high school education. In this paper, we present a case study on automatically detecting whether a student is at-risk of dropout within a diverse school district in Texas. We predict whether a student will drop out in a future school year from data on students' discipline, attendance, course-taking,…
Descriptors: At Risk Students, High School Students, Dropout Prevention, Student Diversity
Mandel, Zoë; Pendola, Andrew – Education Policy Analysis Archives, 2021
Accountability policies in education play a significant role for the principals tasked with facilitating the implementation of these reforms at the school-level. While these policies are most often intended to improve student outcomes, this is not always the case. In some instances, these policies can prove detrimental to schools, yet principals…
Descriptors: Educational Policy, Principals, Labor Turnover, Special Education
Natale, Vickie C.; Jones, Stephanie J. – Community College Journal of Research and Practice, 2018
The study examined how institutional and student characteristics may influence the earning of student success points by state-supported community colleges under the Texas performance funding system that was fully implemented in the 2016-2017 biennium. Texas has historically funded community colleges based on an enrollment formula; however, the…
Descriptors: Institutional Characteristics, Student Characteristics, Community Colleges, Two Year College Students
Gururaj, Suchitra V. – Journal of The First-Year Experience & Students in Transition, 2021
Students who delay immediate postsecondary enrollment may forego individual benefits, or represent misplaced resources for higher education institutions by not persisting once enrolled. Understanding the various pathways of diverse students is especially important in states that are experiencing a major demographic shift. Using a multi-agency…
Descriptors: Hispanic American Students, College Attendance, High School Graduates, Academic Persistence