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Areah Thompson – ProQuest LLC, 2023
The purpose of this quantitative study is to examine the implementation of the NAF career academy model among the four NAF academies at North Baton Rouge Preparatory and investigate whether there is a significant difference among each academy's student performance outcomes. This study utilized master schedules, implementation plans, and academic…
Descriptors: Career Academies, Models, Urban Schools, Public Schools
Riley N. Loria; Edgar I. Sanchez – ACT Education Corp., 2024
Effectively predicting academic success is essential for providing students with the resources they need to succeed in their careers and for matching individuals to postsecondary institutions that suit their needs. Despite evidence for ACT scores as meaningful predictors of both first-year grade point average (FYGPA) and degree completion, little…
Descriptors: College Entrance Examinations, Predictive Validity, Time to Degree, Models
Loden, Lisa Renee – ProQuest LLC, 2018
Remedial mathematics has been considered the roadblock to obtaining a college degree by students and educators for years. The purpose of this research is to determine the optimal time and delivery method of the three presented (fully module, module with a traditional lecture component, and fully on-line) for teaching remedial mathematics. This is…
Descriptors: Remedial Mathematics, Conventional Instruction, Online Courses, Teaching Methods
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Westrick, Paul A. – Educational Assessment, 2017
Undergraduate grade point average (GPA) is a commonly employed measure in educational research, serving as a criterion or as a predictor depending on the research question. Over the decades, researchers have used a variety of reliability coefficients to estimate the reliability of undergraduate GPA, which suggests that there has been no consensus…
Descriptors: Undergraduate Students, Test Reliability, College Entrance Examinations, Longitudinal Studies
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Atkins, Charlene; Beggs, C. T. – NADE Digest, 2017
This study compares the results of a developmental co-requisite program with those of a traditional pre-requisite program in an attempt to determine whether the two models provide equivalent levels of effectiveness and efficiency. The research focused on gateway course completion scores and final exam scores for undergraduate students enrolled in…
Descriptors: Mathematics Instruction, Remedial Mathematics, Undergraduate Students, Success
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Lee, Ahlam – Computers in the Schools, 2020
Concerning the underrepresentation of female students in computer science (CS) classes at the K-12 level and math-intensive STEM fields, this study investigated the relationship between female students earning less credits in CS courses during high school and their STEM major choices. Data were drawn from a nationally representative sample of U.S.…
Descriptors: Females, Gender Differences, Computer Science Education, Disproportionate Representation
Babineau, Kate; Karapetyan, Arpi; Rossmeier, Vincent – Cowen Institute, 2020
For the past 12 years, the Cowen Institute has published the "State of Public Education in New Orleans" ("SPENO") on a near annual basis. During that time, the purpose, content, and audience of the report have evolved. This edition of the report is a snapshot of public education in the current academic year using aggregated…
Descriptors: Public Education, Academic Achievement, Boards of Education, Governance
Marini, Jessica P.; Shaw, Emily J.; Young, Linda – College Board, 2016
During the transition period between the use of exclusively old SAT® scores and the use of exclusively new SAT scores, college admission offices will be receiving both types of scores from students. Making an admission decision based on new SAT scores can be challenging at first because institutions have methods, procedures, and models based on…
Descriptors: College Entrance Examinations, Scores, College Admission, Decision Making
Bassiri, Dina – ACT, Inc., 2016
One outcome of the implementation of No Child Left Behind Act of 2001 and its call for better accountability in public schools across the nation has been the use of student assessment data in measuring schools' effectiveness. In general, inferences about schools' effectiveness depend on the type of statistical model used to link student assessment…
Descriptors: Value Added Models, High Schools, School Effectiveness, High School Graduates
Rozek, Christopher S.; Svoboda, Ryan C.; Harackiewicz, Judith M.; Hulleman, Christopher S.; Hyde, Janet S. – Grantee Submission, 2017
During high school, developing competence in science, technology, engineering, and mathematics (STEM) is critically important as preparation to pursue STEM careers, yet students in the United States lag behind other countries, ranking 35th in mathematics and 27th in science achievement internationally. Given the importance of STEM careers as…
Descriptors: STEM Education, Career Readiness, College Readiness, High School Students
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Honken, Nora B.; Ralston, Patricia A. S. – Journal of Advanced Academics, 2013
This study investigated the relationship among lack of self-control, academic ability, and academic performance for a cohort of freshman engineering students who were, with a few exceptions, extremely high achievers in high school. Structural equation modeling analysis led to the conclusion that lack of self-control in high school, as measured by…
Descriptors: Academic Ability, Academic Achievement, Grade Point Average, Homework
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Kartal, Ozgul; Dunya, Beyza Aksu; Diefes-Dux, Heidi A.; Zawojewski, Judith S. – International Journal of Research in Education and Science, 2016
Critical to many science, technology, engineering, and mathematics (STEM) career paths is mathematical modeling--specifically, the creation and adaptation of mathematical models to solve problems in complex settings. Conventional standardized measures of mathematics achievement are not structured to directly assess this type of mathematical…
Descriptors: Mathematical Models, STEM Education, Standardized Tests, Mathematics Achievement
Rapp, Kelly E. – ProQuest LLC, 2012
The use of categorical dependent variables with the classical linear regression model (CLRM) violates many of the model's assumptions and may result in biased estimates (Long, 1997; O'Connell, Goldstein, Rogers, & Peng, 2008). Many dependent variables of interest to educational researchers (e.g., professorial rank, educational attainment) are…
Descriptors: Regression (Statistics), College Choice, High School Seniors, Statistical Analysis
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Dye, Jennifer; Cheatham, Tom; Rowell, Ginger Holmes; Barlow, Angela T.; Carlton, Robert – Electronic Journal of Science Education, 2013
Achievement in science is a national concern, and graduating students who are college and career ready is a national imperative. In this study, we examine student achievement on the ACT science test as a high school transitioned from teaching biology, chemistry and physics with a teacher-centric pedagogy (the traditional instructional context) to…
Descriptors: Models, Science Instruction, Science Achievement, Instructional Effectiveness
Sawyer, Richard – ACT, Inc., 2013
Education officials and journalists frequently track changes over time in the average ACT® College Readiness Assessment Composite scores and ACT College Readiness Benchmark attainment rates of individual high schools. Using standard statistical methods, I examined how often changes in these statistics are unambiguously positive or negative, rather…
Descriptors: College Readiness, College Entrance Examinations, High School Students, Statistical Analysis
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