E.g., 07/08/2026
E.g., 07/08/2026
Victoria Kim
Experts & Staff
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Victoria Kim

Research Assistant

Victoria Kim is a Research Assistant with MPI’s National Center on Immigrant Integration Policy, where she focuses on early childhood and K-12 education issues, policies, and programs that affect children from immigrant and refugee families. Her focus areas include improving access to high-quality services, promoting meaningful engagement with parents, and addressing the specific needs of young Dual Language Learners (DLLs) and English Learner (EL) students.

Before joining MPI, she was a Diane Bernstein Fellow in Child and Youth Advocacy with DC Action, producing policy recommendations to improve local home visiting service delivery. She also worked with the DC Mayor’s Office of Racial Equity to find systems-level solutions to address achievement disparities in DC Public Schools.

Ms. Kim holds a master’s degree in public policy and a BSEd in youth and social innovation and African and African American studies, both from the University of Virginia. 

Bio Page Tabs

Cover image for Making Preschool Classroom Assessments Work for Dual Language Learners
Policy Briefs
December 2025
By  Katherine Habben, Victoria Kim and Lorena Mancilla
Cover image for A Data Profile of Young Dual Language Learners
Fact Sheets
August 2025
By  Katherine Habben and Victoria Kim

Recent Activity

Policy Briefs
December 2025

Although one-third of U.S. young children have a parent who speaks a language other than English, early childhood educators often lack the tools to effectively monitor the development of those not in monolingual, English-speaking households. This issue brief examines why many preschool classroom assessments are a poor fit for Dual Language Learners, and ways to make them more effective for diverse populations.

Fact Sheets
August 2025

Dual Language Learners (DLLs)—young children with at least one parent who speaks a language other than English—make up one-third of all children ages 0–5 in the United States. This fact sheet series and related resources provide essential data on the number and characteristics of DLL children and their families nationwide and in the 30 states with the most DLLs.