Institution
University of Virginia
Email
castleman@virginia.edu
Benjamin Castleman
EdWorkingPapers
Pushing College Advising Forward: Experimental Evidence on Intensive Advising and College Success
While Hispanic students represent the fasting-growing segment of the American school-age population, substantial gaps exist in college enrollment and Bachelor’s attainment between Hispanic and White and Asian students. Numerous factors contribute to these disparities and disproportionally affect… more →
Is Big Data Better? LMS Data and Predictive Analytic Performance in Postsecondary Education
Colleges have increasingly turned to data science applications to improve student outcomes. One prominent application is to predict students’ risk of failing a course. In this paper, we investigate whether incorporating data from learning management systems (LMS)--which captures detailed… more →
Do Financial Incentives Increase the Impact of National-Scale Educational Programs? Experimental Evidence from a National College Advising Initiative
Recent work highlights the challenge of scaling evidence-based educational programs. We report on a randomized controlled trial of a financial incentive program designed to increase the efficacy of a national remote college advising initiative for high-achieving students. We find substantial… more →
Are Algorithms Biased in Education? Exploring Racial Bias in Predicting Community College Student Success
Predictive analytics are increasingly pervasive in higher education. However, algorithmic bias has the potential to reinforce racial inequities in postsecondary success. We provide a comprehensive and translational investigation of algorithmic bias in two separate prediction models -- one… more →
Human versus Machine: Do college advisors outperform a machine-learning algorithm in predicting student enrollment?
Prediction algorithms are used across public policy domains to aid in the identification of at-risk individuals and guide service provision or resource allocation. While growing research has investigated concerns of algorithmic bias, much less research has compared algorithmically-driven… more →
Crossing the Finish Line but Losing the Race? Socioeconomic Inequalities in the Labor Market Trajectories of Community College Graduates
Despite decades and hundreds of billions of dollars of federal and state investment in policies to promote postsecondary educational attainment as a key lever for increasing the economic mobility of lower-income populations, research continues to show large and meaningful differences in the mid-… more →
Can Information and Advising Affect Postsecondary Participation and Attainment for Non-Traditional Students? Evidence from a Large-Scale Experiment with the U.S. Army
Non-traditional students disproportionately enroll in institutions with weaker graduation and earnings outcomes. One hypothesis is that these students would have made different choices had they been provided with better information or supports during the decision-making process. We conducted a… more →
Negative Impacts From the Shift to Online Learning During the COVID-19 Crisis: Evidence from a Statewide Community College System
The COVID-19 pandemic led to an abrupt shift from in-person to virtual instruction in Spring 2020. We use two complementary difference-in differences frameworks, one that leverages within-instructor-by-course variation on whether students started their Spring 2020 courses in person or online and… more →
Unfinished Business? Academic and Labor Market Profile of Adults with Substantial College Credits But No Degree
Recent state policy efforts have focused on increasing attainment among adults with some college but no degree (SCND). Yet little is actually known about the SCND population. Using data from the Virginia Community College System (VCCS), we provide the first detailed profile on the academic,… more →
Finishing the Last Lap: Experimental Evidence on Strategies to Increase College Completion for Students At Risk of Late Withdrawal
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… more →