Automated assessment using Natural Language Processing (NLP) has the potential to make English speaking assessments more reliable, authentic, and accessible. Yet without careful examination, NLP may exacerbate social prejudices based on gender or native language (L1). Current NLP-based assessments are prone to such biases, yet research and…

Millions of public-school students in the United States are identified as English language learners (ELLs), whose academic success is tied to their second language (L2) English education. Previous research in adult populations indicates that L2 proficiency is related to the contextual variable of the prevalence of one's first language (L1) among…

Second language (L2) phonological acquisition involves learning novel target-language sounds, variable forms of sounds that arise in different phonological contexts, and any phonotactic constraints that govern their appearance. Interlanguage (IL) grammars must adapt to represent sounds and constraints that are novel to the native language (L1)…

Latinx dual language learners (DLLs) are an enormous and growing student body that faces educational adversities and inequities. One of the most salient findings to emerge from decades of educational research is that DLLs who close the gap with their monolingual peers and have the best long-term academic performance are those who develop strong…