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Kristina Zeiser; Robert Schwarzhaupt; Mengli Song; Kyle Neering; Sara Mitchell; Joanne Blank – Grantee Submission, 2024
Purpose: Jointly operated by school districts and postsecondary institutions, Early Colleges are either whole school program or programs within schools designed to serve students traditionally underrepresented in higher education. The Early College High School Initiative was established in 2002 by the Bill & Melinda Gates Foundation, along…
Descriptors: Dual Enrollment, Higher Education, High School Students, College Preparation
Long, Mark C.; Goldhaber, Dan; Gratz, Trevor – Grantee Submission, 2019
Indiana, Oklahoma, and Washington have programs designed to address college enrollment and completion gaps by offering a promise of state-based college financial aid to low-income middle school students in exchange for making a pledge to do well in high school, be a good citizen, not be convicted of a felony, and apply for financial aid to…
Descriptors: Scholarships, State Aid, Student Financial Aid, Academic Persistence
Kristen M. Cummings; K. C. Deane; Brian P. McCall; Stephen L. DesJardins – Grantee Submission, 2022
Despite the robust literature on the effects of financial aid, the effects of financial aid loss remain largely understudied. We employ a regression discontinuity design, leveraging a minimum GPA scholarship renewal threshold, to examine the effect of losing state merit aid eligibility on college student stop-out, transfer, and bachelor's degree…
Descriptors: Scholarships, Student Financial Aid, Grade Point Average, Academic Achievement
Eric P. Bettinger; Benjamin L. Castleman; Alice Choe; Zachary Mabel – Grantee Submission, 2022
Nearly half of students who enter college do not graduate. The majority of efforts to increase college completion have focused on supporting students before or soon after they enter college, yet many students drop out after making significant progress towards their degree. In this paper, we report results from a multi-year, large-scale…
Descriptors: Dropouts, Academic Persistence, College Students, Educational Attainment
Gurantz, Oded; Odle, Taylor K. – Grantee Submission, 2021
We replicate and extend prior work on Florida's Bright Futures merit aid scholarship to consider its effect on college enrollment and degree completion. We estimate causal impacts using a regression discontinuity design to exploit SAT thresholds that strongly determine eligibility. We find no positive impacts on attendance or attainment, and…
Descriptors: Merit Scholarships, College Choice, Educational Attainment, State Programs
Buckley, Pamela; Pendergast, Philip; Klopfenstein, Kristin – Grantee Submission, 2020
The term dual, or concurrent, enrollment refers to the broad array of programs available to high school students that allow them to take college-level courses for credit. Dual enrollment creates multiple pathways to college by enabling high school students to take: (1) selected academic courses on college campuses; (2) college-led academic courses…
Descriptors: Dual Enrollment, High School Students, Program Effectiveness, College Attendance
Kahn, Beverly; Winter, Kate; Cabrera, Erwin; Cullington, Lisa – Grantee Submission, 2020
Increasing 4-year graduation rates among US students, particularly those historically disadvantaged in higher education, is a national imperative. The purpose of this study is to test the efficacy of the multifaceted Research Aligned Mentorship Program in advancing the academic success of low income, first generation college, and minority students…
Descriptors: Mentors, State Colleges, Undergraduate Students, Program Effectiveness
Cynthia Miller; Michael J. Weiss – Grantee Submission, 2021
This paper presents new estimates of the effects of the City University of New York's (CUNY's) Accelerated Study in Associate Programs (ASAP) model, evaluated using a randomized controlled trial first in New York and later through a replication in Ohio. It presents longer-term effects of CUNY ASAP in New York, showing that the program's effect on…
Descriptors: Community Colleges, Program Effectiveness, Associate Degrees, Bachelors Degrees
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