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Matthew Allen Johnson – ProQuest LLC, 2021
The purpose of this quantitative causal-comparative study was to determine the extent of differences in student achievement scores on the ACT based on enrollment in preparation courses in large group settings, for students graduating from 2011 to 2020 at a private high school in the southwestern United States. Bandura's Social Cognitive Theory…
Descriptors: College Entrance Examinations, Scores, Test Preparation, Courses
Vittengl, Jeffrey R.; Vittengl, Karen L. – Teaching of Psychology, 2022
Background: Acquisition and generalization of data analysis skills are perennial challenges for psychology students. Teaching advanced data analysis in a psychology-specific context might improve students' learning. Objective: At a mid-sized public university, we evaluated student outcomes after a new quantitative psychology course taught in the…
Descriptors: Teaching Methods, Data Analysis, Generalization, Psychology
Agley, Jon; Tidd, David; Jun, Mikyoung; Eldridge, Lori; Xiao, Yunyu; Sussman, Steve; Jayawardene, Wasantha; Agley, Daniel; Gassman, Ruth; Dickinson, Stephanie L. – Educational and Psychological Measurement, 2021
Prospective longitudinal data collection is an important way for researchers and evaluators to assess change. In school-based settings, for low-risk and/or likely-beneficial interventions or surveys, data quality and ethical standards are both arguably stronger when using a waiver of parental consent--but doing so often requires the use of…
Descriptors: Data Analysis, Longitudinal Studies, Data Collection, Intervention
Junpeng Yan – ProQuest LLC, 2020
This dissertation investigates several topics in state merit-based financial aid research. The main research content includes three separate studies, primarily using the administrative datasets from the Missouri Department of Higher Education. The first study is an empirical paper that examines the effects of the Missouri Bright Flight Scholarship…
Descriptors: Merit Scholarships, STEM Education, Engineering, Majors (Students)
Edwards, John; Hart, Kaden; Shrestha, Raj – Journal of Educational Data Mining, 2023
Analysis of programming process data has become popular in computing education research and educational data mining in the last decade. This type of data is quantitative, often of high temporal resolution, and it can be collected non-intrusively while the student is in a natural setting. Many levels of granularity can be obtained, such as…
Descriptors: Data Analysis, Computer Science Education, Learning Analytics, Research Methodology
Tennessee Board of Regents - The College System of Tennessee, 2021
This is the technical appendix for the report "Gaining Momentum: Refining Corequisite Learning Support to Boost Student Success in the First Year and Beyond" which seeks to develop a body of actionable information about how to refine learning support, close equity gaps, and promote strong momentum toward success for community college…
Descriptors: College Freshmen, Academic Achievement, Achievement Gap, Equal Education
Dolezal, Dennis W. – ProQuest LLC, 2018
New ways of managing schools that save money while providing the same quality of education is always a goal. The saving of money is always needed to assure that we make the most of our tax dollars without spending more than is required. The purpose of this quantitative study was to identify the relationship between student test scores from a…
Descriptors: School Schedules, Attendance, Educational Quality, Educational Finance
Chen, Yu; Upah, Sylvester – Journal of College Student Retention: Research, Theory & Practice, 2020
Science, Technology, Engineering, and Mathematics student success is an important topic in higher education research. Recently, the use of data analytics in higher education administration has gain popularity. However, very few studies have examined how data analytics may influence Science, Technology, Engineering, and Mathematics student success.…
Descriptors: STEM Education, Academic Advising, Data Analysis, Majors (Students)
Elise Swanson; Joseph Kitchen; Tatiana Melguizo; Francisco Martorell – Annenberg Institute for School Reform at Brown University, 2020
We examine the impact of the Thompson Scholars Learning Community (TSLC), a comprehensive college transition program serving students with a variety of majors, on students' science, technology, engineering, and math (STEM)-related outcomes. We use an explanatory mixed-methods design, which prioritizes the quantitative analyses and uses qualitative…
Descriptors: STEM Education, School Transition, Communities of Practice, Student Experience

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