From Intervention to Impact: Analyzing Educational Effectiveness in U.S.

Abstract Number:

3749 

Submission Type:

Contributed Abstract 

Contributed Abstract Type:

Speed 

Participants:

Mohammed Rahman (1), Aditi Sen (1), Ayoushman Bhattacharya (2)

Institutions:

(1) N/A, N/A, (2) Washington University in St. Louis, N/A

Co-Author(s):

Aditi Sen  
N/A
Ayoushman Bhattacharya  
Washington University in St. Louis

Speaker:

Mohammed Rahman  
N/A

Abstract Text:

Evidence-based education policy increasingly depends on systematic reviews to guide the adoption and scaling of instructional programs. Our goal is to provide a more nuanced understanding of "what works, for whom, and under what conditions" in education. In this research, we analyze the What Works Clearinghouse dataset, maintained by the U.S. Department of Education, to examine heterogeneity in educational intervention effectiveness.
The WWC dataset provides a comprehensive synthesis of educational research in a multi-level structure, linking findings, studies, and intervention reports. We investigate what works", i.e., which version of an intervention works or in other works which intervention is effective under what protocol. We explain the ``for whom" and "under what conditions" components by leveraging information on region, school type, grades, race, sex, etc. To understand if such an interventions-protocol combination ``works", we investigate variables, which measure impact of intervention pertaining to specific outcome domains. In contrast to most applications of WWC data emphasizing on average intervention effectiveness, our goal in this study is subgroup analysis.

Keywords:

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Sponsors:

Section on Statistical Computing

Tracks:

Data Science

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