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Learning communities—linked developmental and college courses (for 2-year college students)

Higher Education
Benefit-cost methods last updated December 2023.  Literature review updated July 2017.
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Linked learning communities co-enroll undergraduate students in two or more courses with the aim to improve academic achievement through increased social and curricular integration. Learning community instructors, sometimes with assistance from a coordinator, integrate curricula by creating lesson plans and shared assignments that facilitate collaboration among students and connections between courses.

In this meta-analysis, students were in their first year at a community college and required developmental education. Student cohorts were co-enrolled in a developmental English, math, or reading course linked with at least one other course, typically a college-level course (e.g. English composition or American history). In all programs, students were enrolled in a learning community for one semester. While a model of linking developmental education with college level courses exists in all studies examined, there was some variation. Some linked a developmental education course with one or more courses, while others provided additional supports like tutoring and vouchers for textbooks. There was also varying levels of collaboration and curricular integration between instructors, coordinators, and school faculty across studies. Students were enrolled in a learning community for one semester.
 
ALL
BENEFIT-COST
META-ANALYSIS
CITATIONS
For an overview of WSIPP's Benefit-Cost Model, please see this guide. The estimates shown are present value, life cycle benefits and costs. All dollars are expressed in the base year chosen for this analysis (2022). The chance the benefits exceed the costs are derived from a Monte Carlo risk analysis. The details on this, as well as the economic discount rates and other relevant parameters are described in our Technical Documentation.
Benefit-Cost Summary Statistics Per Participant
Benefits to:
Taxpayers $128 Benefits minus costs ($675)
Participants $497 Benefit to cost ratio $0.34
Others $287 Chance the program will produce
Indirect ($564) benefits greater than the costs 19%
Total benefits $349
Net program cost ($1,024)
Benefits minus cost ($675)

^WSIPP’s benefit-cost model does not monetize this outcome.

Meta-analysis is a statistical method to combine the results from separate studies on a program, policy, or topic in order to estimate its effect on an outcome. WSIPP systematically evaluates all credible evaluations we can locate on each topic. The outcomes measured are the types of program impacts that were measured in the research literature (for example, crime or educational attainment). Treatment N represents the total number of individuals or units in the treatment group across the included studies.

An effect size (ES) is a standard metric that summarizes the degree to which a program or policy affects a measured outcome. If the effect size is positive, the outcome increases. If the effect size is negative, the outcome decreases. See Estimating Program Effects Using Effect Sizes for additional information.

Adjusted effect sizes are used to calculate the benefits from our benefit cost model. WSIPP may adjust effect sizes based on methodological characteristics of the study. For example, we may adjust effect sizes when a study has a weak research design or when the program developer is involved in the research. The magnitude of these adjustments varies depending on the topic area.

WSIPP may also adjust the second ES measurement. Research shows the magnitude of some effect sizes decrease over time. For those effect sizes, we estimate outcome-based adjustments which we apply between the first time ES is estimated and the second time ES is estimated. We also report the unadjusted effect size to show the effect sizes before any adjustments have been made. More details about these adjustments can be found in our Technical Documentation.

Meta-Analysis of Program Effects
Outcomes measured Treatment age No. of effect sizes Treatment N Adjusted effect sizes(ES) and standard errors(SE) used in the benefit - cost analysis Unadjusted effect size (random effects model)
First time ES is estimated Second time ES is estimated
ES SE Age ES SE Age ES p-value
Persistence within 1st year
Persistence from enrollment through the end of the first year of higher education in a 2- or 4-year institution.
 20 4 2738 0.026 0.028 20 0.026 0.028 20 0.026 0.360
Persistence into 2nd year
Completion of the first year and re-enrollment in the second year of higher education in a 2- or 4-year institution.
 20 2 1377 0.048 0.040 21 0.048 0.040 21 0.048 0.229
Remedial credits earned^
Course credit earned in courses that are below college level. Also called developmental credits or basic skills credits, these often do not count toward graduation requirements.
 20 4 2738 0.091 0.044 21 n/a n/a n/a 0.091 0.038
1In addition to the outcomes measured in the meta-analysis table, WSIPP measures benefits and costs estimated from other outcomes associated with those reported in the evaluation literature. For example, empirical research demonstrates that high school graduation leads to reduced crime. These associated measures provide a more complete picture of the detailed costs and benefits of the program.

2“Others” includes benefits to people other than taxpayers and participants. Depending on the program, it could include reductions in crime victimization, the economic benefits from a more educated workforce, and the benefits from employer-paid health insurance.

3“Indirect benefits” includes estimates of the net changes in the value of a statistical life and net changes in the deadweight costs of taxation.
Detailed Monetary Benefit Estimates Per Participant
Affected outcome: Resulting benefits:1 Benefits accrue to:
Taxpayers Participants Others2 Indirect3 Total
Persistence into 2nd year Labor market earnings associated with higher education $231 $545 $287 $0 $1,064
Costs of higher education ($103) ($48) $0 ($52) ($203)
Program cost Adjustment for deadweight cost of program $0 $0 $0 ($512) ($512)
Totals $128 $497 $287 ($564) $349
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Detailed Annual Cost Estimates Per Participant
Annual cost Year dollars Summary
Program costs $868 2016 Present value of net program costs (in 2022 dollars) ($1,024)
Comparison costs $0 2016 Cost range (+ or -) 20%
Costs are based on a weighted average of per-participant costs published in Sommo et al. (2012), Weissman et al. (2012), and Weissman et al. (2011). Estimates include the direct cost to operate a linked learning community for one semester, including instructor time, coordinator time, student services, and additional student supports like tutors and/or materials specific to some programs.
The figures shown are estimates of the costs to implement programs in Washington. The comparison group costs reflect either no treatment or treatment as usual, depending on how effect sizes were calculated in the meta-analysis. The cost range reported above reflects potential variation or uncertainty in the cost estimate; more detail can be found in our Technical Documentation.
Benefits Minus Costs
Benefits by Perspective
Taxpayer Benefits by Source of Value
Benefits Minus Costs Over Time (Cumulative Discounted Dollars)
The graph above illustrates the estimated cumulative net benefits per-participant for the first fifty years beyond the initial investment in the program. We present these cash flows in discounted dollars. If the dollars are negative (bars below $0 line), the cumulative benefits do not outweigh the cost of the program up to that point in time. The program breaks even when the dollars reach $0. At this point, the total benefits to participants, taxpayers, and others, are equal to the cost of the program. If the dollars are above $0, the benefits of the program exceed the initial investment.

Citations Used in the Meta-Analysis

Scrivener, S., Bloom, D., LeBlanc, A., Paxson, C., Rouse, C.E., & Sommo, C. (2008). A good start: Two-year effects of a freshmen learning community program at Kingsborough Community College. New York, NY: MDRC.

Weissman, E., Butcher, K.F., Schneider, E., Teres J., Collado, H. Greenberg, D. & Welbeck, R. (2011). Learning communities for students in developmental math: Impact studies at Queensborough and Houston community colleges. New York: National Center for Postsecondary Research.

Weissman, E., Cullinan, D., Cerna, O., Richman, P., & Grossman, A. (2012). Learning communities for students in Developmental English: Impact studies at Merced College and the Community College of Baltimore County. New York: National Center for Postsecondary Research.