Filtered by tag: Postsecondary Remove Filter

Effect of Active Learning Professional Development Training on College Student Outcomes

Is there an effect of participating in Active Learning Professional Development (ALPD) training on student performance?

Students who took a course with an ALPD instructor were three percentage points more likely to take additional classes in the same subject area compared to students who were taught by non-participant. Non-participants persisted at a rate of about 68%, so a three percentage point increase represents a 5% improvement. Importantly, ALPD training is related to higher likelihood of implementing active learning instructional practices in the classroom. We do not find any differences in students’ current course grade or performance in the next class.

 

How to read this chart: This figure shows that students who took a course with an ALPD trained instructor were three percentage points more likely to take another course in the same field of study in the immediate next term (p<0.05). No clear difference in course grades was evident either in the ALPD-instructed course, or in the next course taken.

Read More

How Do the Impacts of Healthcare Training Vary with Credential Length? Evidence from the Health Profession Opportunity Grants Program

Daniel Litwok, Laura R. Peck, and Douglas Walton

PDF Version

How do the earnings impacts of healthcare training vary?

This article explores how earnings impacts vary in an experimental evaluation of a sectoral job training program. We find that over the first two years in the study, those who completed long-term credentials (defined as college degrees or certificates that require a year or more of classes to earn) had program impacts that were about $2,000 larger per year than those who did not complete long-term credentials (whether they completed a short-term credential or no credential at all). A possible explanation for this finding is that those who earned a long-term credential had different experiences in the program, including more engagement with support services, and different post-program outcomes, such as greater employment in high-wage healthcare occupations like registered nurse.

Read More

KIPP Middle Schools Increase Students’ College Enrollment Rates

Ira Nichols-Barrer, Maria Bartlett, Thomas Coen, & Phil Gleason

PDF Version

Do KIPP Middle Schools Boost Long Run Student Outcomes?

Yes they do, according to a rigorous national study of 13 KIPP middle schools. Building on prior studies of KIPP that show KIPP middle schools have strong positive effects on students’ middle school achievement, this study found that KIPP middle schools also improve longer-term rates of enrollment in four-year college programs. Winning a lottery-based admissions offer to a KIPP middle school increased a student’s probability of enrolling in college by 7 percentage points, even though a third of these students never enrolled at KIPP. Adjusting for enrollment, attending KIPP increased college enrollment rates by 13 percentage points. This boost is similar in size to nationwide disparities in college enrollment across racial groups—a relevant benchmark since nearly all KIPP students are Black or Latinx. 

Read More

English Corequisite Remediation Improves Students’ Early Course Progression Outcomes but Does Not Increase Persistence Rates

Trey Miller, Lindsay Daugherty, Paco Martorell, and Russell Gerber

PDF Version

What are corequisites?

Faced with troubling evidence on the success of students who take traditional developmental education (DE) courses, states and higher education institutions across the United States are rethinking the way they address college readiness. Corequisite remediation is one promising and common approach to DE reform. Under corequisite remediation, students skip the traditional DE course(s) and move immediately into a foundational college-level course, while also being required to enroll in concurrent DE support in that same semester. Corequisites also call for changes to instruction to better align content in DE with college-level coursework and some models build in opportunities for more personalized support and/or peer support through various design features such as smaller class sizes and the mixing of college ready and DE students.

Read More

Comprehensive College Transition Program Increases Students’ Psychosocial Outcomes

Tatiana Melguizo, Paco Martorell, Elise Swanson, W. Edward Chi, Elizabeth Park, & Adrianna Kezar

PDF Version

Is there an added benefit of providing college students with comprehensive support in addition to a scholarship?

An experimental evaluation of the Thompson Scholars Learning Communities (TSLC) program in the University of Nebraska system finds that participating in a comprehensive college transition program increases students’ sense of belonging (e.g. feeling part of the institution) and feelings of mattering (e.g. feeling they are valued on campus) relative to their peers. We find some evidence to suggest that program may be equity enhancing, given large observed increases in feelings of mattering among traditionally underserved students. We focus on the impact of the program on four key psychosocial outcomes that provide insight into students’ experiences on campus and help capture a broader understanding of student success than purely academic outcomes. Our findings suggest that comprehensive programs can improve students’ psychosocial outcomes.

Read More

Examining the Earnings Trajectories of Community College Students Using a Piecewise Growth Curve Modeling Approach

Summary by: Lily An

PDF Version

Traditional methods of estimating the returns to community college remain imprecise.

Historically, to estimate the labor market returns to a community college degree, researchers have compared the earnings of students who completed a degree to those who did not, at a single point in time, while controlling for background characteristics. With the expansion of longitudinal data sets, researchers have begun to consider how earnings before and during community college can affect returns to community college. However, even improved econometric analyses overlook some temporal influences on predicted earnings growth, such as the time between graduation and measured earnings, instead estimating averaged returns over time. These influences are particularly salient for community college students, who vary in their time-to-degree completion and often enter college with pre-existing or concurrent work experiences.

Read More

Early College, Continued Success: Longer-Term Impact of Early College High Schools

Mengli Song, Kristina L. Zeiser, Drew Atchison, and Iliana Brodziak de los Reyes

PDF Version

What are Early College High Schools?

Early Colleges are small high schools designed to increase the opportunity for students–particularly students traditionally underrepresented in higher education­–to earn a postsecondary credential. To achieve this goal, they partner with colleges and universities to provide high school students with college experience with the expectation that all students will earn an associate’s degree or up to 2 years of college credits during high school at no or low-cost to their families. Early Colleges also provide a rigorous and supportive high school environment to help students navigate and succeed in college coursework.

Read More

The Methodological Challenges of Measuring Institutional Value-added in Higher Education

Tatiana Melguizo, Gema Zamarro, Tatiana Velasco, and Fabio J. Sanchez

PDF Version

Assessing the quality of higher education is hard but there is growing pressure for governments to create a ranking system for institutions that can be used for assessment and funding allocations.  Such a system, however, would require a reliable methodology to fairly assess colleges using a wide variety of indicators. Countries with centralized governance structures have motivated researchers to develop “value-added” metrics of colleges’ contributions to student outcomes that can be used for summative assessment (Coates, 2009; Melguizo & Wainer, 2016; Shavelson et al. 2016). Estimating the “value-added” of colleges and programs, however, is methodologically challenging: first, high- and low-achieving students tend to self-select into different colleges– a behavior that if not accounted for, may yield to estimates that capture students’ prior achievement rather than colleges’ effectiveness at raising achievement; second, measures considering gains in student learning outcomes (SLOs) as indicators at the higher education level are scant. In our paper, we study these challenges and compare the methods used for obtaining value-added metrics in the context of higher education in Colombia.

How to best estimate value-added models in higher education?

Read More

The Higher Education Enrollment Decision: Feedback on Expected Study Success and Updating Behavior

Chris van Klaveren, Karen Kooiman, Ilja Cornelisz & Martijn Meeter

PDF Version

Secondary school students tend to be overly optimistic about how well they will perform in college. This overconfidence leads to suboptimal decision making. But what if secondary school students were told their likelihood of succeeding in the college program they applied to prior to their decision to enroll?  Would this influence their decision to enroll?

This study presents the results of a field experiment in which a random half of 313 secondary-school students applying to higher education received personalized predictions on study success (the other half did not receive such predictions). A comparison of the enrolment rates of the two groups of students helps us understand the effect of receiving these personalized predictions. We find that:

Read More

The Implications of Teacher Selection and the Teacher Effect in Individually Randomized Group Treatment Trials

Michael Weiss

PDF Version

Beware! Teacher effects could mess up your individually randomized trial! Or such is the message of this paper focusing on what happens if you have individual randomization, but teachers are not randomly assigned to experimental groups.

The key idea is that if your experimental groups are systematically different in teacher quality, you will be estimating a combined impact of getting a good/bad teacher on top of the impact of your intervention.

Read More