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Toby J. Park-Gaghan; Christine Mokher; Taylor Burtch; Morgan Danyi – Grantee Submission, 2024
Florida State University researchers spent the last year collecting and analyzing data on corequisite developmental education (DE) models in Texas as part of a four-year study that received a $1.5M grant from the U.S. Department of Education's Institute of Education Sciences. This study was proposed in response to Texas House Bill (HB) 2223, which…
Descriptors: Developmental Studies Programs, Remedial Instruction, Required Courses, Models
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Wisler, Alan; Teplansky, Kristin; Heitzman, Daragh; Wang, Jun – Journal of Speech, Language, and Hearing Research, 2021
Purpose: Kinematic measurements of speech have demonstrated some success in automatic detection of early symptoms of amyotrophic lateral sclerosis (ALS). In this study, we examined how the region of symptom onset (bulbar vs. spinal) affects the ability of data-driven models to detect ALS. Method: We used a correlation structure of articulatory…
Descriptors: Symptoms (Individual Disorders), Neurological Impairments, Articulation (Speech), Brain Hemisphere Functions
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Jaylin Lowe; Charlotte Z. Mann; Jiaying Wang; Adam Sales; Johann A. Gagnon-Bartsch – Grantee Submission, 2024
Recent methods have sought to improve precision in randomized controlled trials (RCTs) by utilizing data from large observational datasets for covariate adjustment. For example, consider an RCT aimed at evaluating a new algebra curriculum, in which a few dozen schools are randomly assigned to treatment (new curriculum) or control (standard…
Descriptors: Randomized Controlled Trials, Middle School Mathematics, Middle School Students, Middle Schools
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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
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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
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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
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Olofson, Mark; Knight, David – Education Sciences, 2018
Since the emergence of middle schools as distinct educational settings in the 1960s, proponents of the model have advocated for structures and approaches that best meet the particular developmental needs of young adolescents. Middle school researchers have developed frameworks of best practices for schools that have been widely, if not uniformly,…
Descriptors: Middle Schools, School Effectiveness, Best Practices, Educational Practices
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Husted, Thomas; Kenny, Lawrence – Journal of Education Finance, 2014
Texas has one of the largest primary and secondary school systems in the United States. Funding equity has been a concern in the state courts, and significant legislative actions have been taken. We examine two votes taken in the Texas State Legislature in 1993 and 2006 that follow the directives from a series of education finance equity legal…
Descriptors: Educational Finance, Court Litigation, Taxes, Voting
Goodman, Christie L., Ed. – Intercultural Development Research Association, 2021
This year's study is the 35th in a series of annual reports on trends in dropout and attrition rates in Texas public schools. The 2019-20 study builds on a series of studies by the Intercultural Development Research Association (IDRA) that track the number and percent of students in Texas who are lost from public school enrollment prior to…
Descriptors: Public Schools, Student Attrition, Dropout Rate, Educational Trends
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Mitchell, Anthony J.; Shoho, Alan R. – Leadership and Policy in Schools, 2017
This study sought to determine if there was a relationship between teacher perceptions of educational change and student achievement. Teacher perceptions of change represented the independent variable and the dependent variable consisted of eleventh grade math Texas Assessment of Knowledge and Skills scores, cohort completion rates, and math…
Descriptors: High Schools, Secondary School Teachers, Academic Achievement, Educational Change
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Burke, Mack D.; Rispoli, Mandy; Clemens, Nathan H.; Lee, Yuan-Hsuan; Sanchez, Lisa; Hatton, Heather – Journal of Positive Behavior Interventions, 2016
Universal behavioral screening is a major part of positive behavioral support and response to intervention systems. Program-wide positive behavioral interventions and supports (PBIS) focuses on establishing social, emotional, and behavioral competence through promotion of a small set of behavioral expectations that are agreed upon, taught, and…
Descriptors: Positive Behavior Supports, Screening Tests, Intervention, Validity
Perez, Jerry F. – ProQuest LLC, 2013
The goal of the dissertation study was to evaluate the existing DG scheduling algorithm. The evaluation was developed through previously explored simulated analyses of DGs performed by researchers in the field of DG scheduling optimization and to improve the current RT framework of the DG at TTU. The author analyzed the RT of an actual DG, thereby…
Descriptors: Computer Science, Scheduling, Mathematics, Universities
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Bowers, Alex J.; Lee, Jooyoung – Educational Administration Quarterly, 2013
Purpose: Across the United States, a large percentage of school districts are in need of facility improvements to provide safe and adequate buildings to facilitate student learning. To finance new construction, school districts traditionally have put proposals before local voters to fund construction through issuing long-term bonds to finance…
Descriptors: Educational Finance, Educational Facilities, Bond Issues, Longitudinal Studies
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Brock, Laura L.; Curby, Timothy W. – Early Education and Development, 2014
Teachers' ratings of conflict and closeness as well as observed emotional support are known predictors of children's social functioning. Consistency in emotional support represents an emerging line of research. The goal of the present study is to understand whether the relation between the consistency of teachers' emotional support and children's…
Descriptors: Preschool Teachers, Preschool Children, Kindergarten, Teacher Student Relationship
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Sperry, Rita A. – Learning Communities: Research & Practice, 2015
The study used pre-college variables in the prediction of retention and probation status of first-year students in learning communities at a regional public university in South Texas. The correlational study employed multivariate analyses on data collected from the campus registrar about three consecutive cohorts (N = 4,215) of first-year…
Descriptors: Predictor Variables, College Freshmen, Communities of Practice, Academic Achievement
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