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Robert Linden; Michal Kurlaender; Paco Martorell; Scott E. Carrell – Grantee Submission, 2022
Using rich administrative data from the California Community Colleges Chancellor's Office that tracks each student longitudinally, this analysis examines how the onset of the pandemic affected student enrollment duration. Data are disaggregated by student characteristics and college campuses in order to understand variable impacts and equity…
Descriptors: COVID-19, Pandemics, Enrollment, Academic Persistence
Buckley, Pamela B.; Pendergast, Philip; Klopfenstein, Kristin; Poast, Kim; Ramsay, Lauren – Grantee Submission, 2022
Using a two-stage, matched design, we found dual enrollment students enrolled in college within one year of their expected high school graduation at higher rates than control students who did not take college classes in high school (OR = 3.06). For students that matriculated within one year after high school, compared to control, treatment…
Descriptors: Dual Enrollment, Educational Attainment, Income, Outcomes of Education
Rahimi, Seyedahmad; Shute, Valerie; Zhang, Qian – Grantee Submission, 2021
Persistence is an important part of student success--both in and out of school. To enhance persistence, we first need to assess it accurately. Digital games can be used as vehicles for measuring and enhancing persistence. The purpose of this study is to test the effects of (a) game-level characteristics (i.e., game mechanics and conceptual…
Descriptors: Educational Games, Computer Games, Game Based Learning, Problem Solving
Marissa E. Thompson – Grantee Submission, 2021
Earning poor grades in early science, technology, engineering, and mathematics (STEM) college courses decreases the likelihood that a student will major in STEM. However, grades in first-year STEM courses do not impact students evenly, making it hard to know if early "gatekeeping" courses selectively push some students out of STEM. This…
Descriptors: Grades (Scholastic), Expectation, Self Efficacy, College Freshmen
Elaine M. Allensworth; Kallie Clark – Grantee Submission, 2020
High school GPAs (HSGPAs) are often perceived to represent inconsistent levels of readiness for college across high schools, while test scores (e.g., ACT scores) are seen as comparable. This study tests those assumptions, examining variation across high schools of both HSGPAs and ACT scores as measures of academic readiness for college. We find…
Descriptors: Grade Point Average, College Entrance Examinations, Predictor Variables, Academic Persistence
Dizon-Ross, Elise; Loeb, Susanna; Penner, Emily; Rochmes, Jane – Grantee Submission, 2019
Despite growing concern over teachers' ability to live comfortably where they work, we know little about the systematic relationship between affordability and teachers' well-being, particularly in high-cost urban areas. We use novel survey data from San Francisco Unified School District to identify the patterns and prevalence of economic anxiety…
Descriptors: Stress Variables, Teacher Attitudes, Anxiety, Urban Schools
Cromley, Jennifer G.; Perez, Tony; Kaplan, Avi – Grantee Submission, 2016
Student cognition and motivation, as well as institutional policies, determine student course grades and retention in science, technology, engineering, and mathematics (STEM) majors. Regarding cognition, study skills relate to course grades, and grades relate to retention in STEM. Several aspects of motivation are related to both grades and…
Descriptors: Undergraduate Students, STEM Education, Science Achievement, Academic Persistence
Burstein, Jill; McCaffrey, Dan; Beigman Klebanov, Beata; Ling, Guangming – Grantee Submission, 2017
No significant body of research examines writing achievement and the specific skills and knowledge in the writing domain for postsecondary (college) students in the U.S., even though many at-risk students lack the prerequisite writing skills required to persist in their education. This paper addresses this gap through a novel…
Descriptors: Computer Software, Writing Evaluation, Writing Achievement, College Students
DeRocchis, Anthony M.; Michalenko, Ashley; Boucheron, Laura E.; Stochaj, Steven J. – Grantee Submission, 2018
This Innovative Practice Category Work In Progress paper presents an application of machine learning and data mining to student performance data in an undergraduate electrical engineering program. We are developing an analytical approach to enhance retention in the program especially among underrepresented groups. Our approach will provide…
Descriptors: Engineering Education, Data Analysis, Undergraduate Students, Artificial Intelligence
McConnell, Amber E.; Martin, James E.; Hennessey, Maeghan N. – Grantee Submission, 2015
This study examined the relations among research-identified non-academic indicators of post-school education and employment measured by the Transition Assessment and Goal Generator (TAGG), student grade point average (GPA), and percentage of time students with disabilities received instruction in the general education classroom. Participants…
Descriptors: Academic Persistence, Adolescents, Disabilities, Employment Level
Perez-Felkner, Lara – Grantee Submission, 2015
Background/Context: Schools have attempted to address stratification in black and Latino students' access to higher education through extensive reform initiatives, including those focused on social supports. A crucial focus has been missing from these efforts, essential to improving the effectiveness of support mechanisms and understanding why…
Descriptors: High School Students, Charter Schools, Student Attitudes, Resilience (Psychology)