Students learn or progress at their own paces. How can schools make sure that they get the help they need — and only the help they need? Many are turning to multi-tiered systems of support. This brief provides some practical considerations for schools contemplating tiered approaches.
A Case Study of Communities In Schools
Many students in high-poverty schools face serious challenges such as housing instability and hunger, and the stress in their daily lives can affect their school attendance and performance. CIS aims to address these challenges. This brief describes how the organization has used evaluation findings to enhance and modify its services.
School choice systems can be complex and confusing for low-income families. In the search for solutions, researchers and policymakers may have overlooked lessons from other policy arenas. This issue focus suggests strategies from MDRC’s experience designing and evaluating interventions to support low-income people’s decision making in arenas outside P-12 choice systems.
Lessons from MDRC Evaluations
More and more schools are using multi-tiered systems of support to deliver students the right amount of help when they need it. MDRC has evaluated several such systems — eight, in fact. This brief summarizes some lessons about tiered systems of support drawn from those evaluations.
Communities In Schools (CIS) works to integrate a variety of support services for students to keep them on a path to graduation. MDRC’s evaluation consisted of a quasi-experimental study of the whole model and a randomized controlled trial of one of its components — case management for students at higher risk.
Even in good economic times, workers with limited education may need help getting or regaining a foothold in the job market. Effective career training programs exist. Approaches that target in-demand industries and closely involve employers can get results, benefiting high school students, adults without diplomas, and long-term unemployed workers.
A Primer for Researchers Working with Education Data
Predictive modeling estimates individuals’ probabilities of future outcomes by building and testing a model using data on similar individuals whose outcomes are already known. The method offers benefits for continuous improvement efforts and efficient allocation of resources. This paper explains MDRC’s framework for using predictive modeling in education.
The Every Student Succeeds Act gives states greater responsibility for choosing strategies to improve underperforming schools. For over a decade, MDRC has rigorously evaluated school improvement strategies, collecting evidence that can help states determine which strategies are likely to work. This Issue Focus describes four of MDRC’s most recent studies.
A Look at MDRC’s Research
Forty percent of all entering college students and over half of entering community college students must take at least one remedial course. Fewer than half make it through developmental education. This two-page Issue Focus provides an overview of new research evidence in four areas of developmental education reform.
In this two-page issue focus, four advisers from MDRC’s College Match project describe how serving as “near-peer” advisers to moderate- and high-achieving high school students from low-income families influenced their own career trajectories.