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Interpretable Pattern Discovery in the What Works Clearinghouse (WWC) Database

Abstract Number:

3639 

Submission Type:

Contributed Abstract 

Contributed Abstract Type:

Speed 

Participants:

Lesia Semenova (1)

Institutions:

(1) Rutgers University, N/A

Speaker:

Lesia Semenova  
Rutgers University

Abstract Text:

The What Works Clearinghouse (WWC) database aggregates findings from thousands of education studies and includes structured indicators of evidence strength. We will develop an interpretable workflow to identify recurring patterns in reported findings across interventions, outcomes, grade levels, and available contexts, while quantifying heterogeneity. Our analysis will incorporate evidence tiers and standards ratings to assess robustness and will use simple interpretable summaries supported by diagnostic visualizations.

Keywords:

The Annual Data Challenge Expo| | | | |

Sponsors:

Section on Statistical Computing

Tracks:

Data Science

Can this be considered for alternate subtype?

No

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I have read and understand that JSM participants must abide by the Participant Guidelines.

Yes

I understand that JSM participants must register and pay the appropriate registration fee by June 1, 2026. The registration fee is non-refundable.

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