As language technologies have become more sophisticated and prevalent, there have been increasing concerns about bias in natural language processing (NLP). Such work often focuses on the effects of bias instead of sources. In contrast, this paper discusses how normative language assumptions and ideologies influence a range of automated language…

The morphological structure of complex words impacts how they are processed during visual word recognition. This impact varies over the course of reading acquisition and for different languages and writing systems. Many theories of morphological processing rely on a decomposition mechanism, in which words are decomposed into explicit…

Which theoretical and empirical insights can inform language-in-education research that advances equitable and high-quality learning at school? In this three-part article, I first draw from various sources to foreground the urgent need to counteract linguicism and epistemic injustices and to commit to more just and rigorous scientific practices in…

Collaboration between English as a Second Language (ESL) and content teachers to support multilingual students designated as English Learners is a growing but complex phenomenon in U.S. schools, and one that has continued to evolve during the pandemic and related disruptions to schooling. We draw upon ecological perspectives on language learning…

Articles in this issue examine (1) the primary sources of variability in reading and language achievement among Spanish-speaking English learners (ELs) in the United States, (2) the extent to which poor performance at the end of grade 2 is identifiable in developmental trajectories beginning in kindergarten, (3) the relations among core reading…

The advent of Large Language Models (LLMs) has fundamentally disrupted our thinking about educational technology. Their ability to engage in natural dialogue, provide contextually relevant responses, and adapt to learner needs has led many to envision them as powerful tools for personalized learning. This emergence raises important questions about…

This paper introduces REFLECTSUMM, a novel summarization dataset specifically designed for summarizing students' reflective writing. The goal of REFLECTSUMM is to facilitate developing and evaluating novel summarization techniques tailored to real-world scenarios with little training data, with potential implications in the opinion summarization…

Research in discourse processing has provided us with a strong foundation for understanding the characteristics of text and discourse, as well as their influence on our processing and representation of texts. However, recent advances in computational techniques have allowed researchers to examine discourse processes in new ways. The purpose of the…

The statistical structure of a given language likely drives our sensitivity to words' morphological structure. The current work begins to investigate to what degree morphological processing effects observed in visual word recognition can be attributed to statistical regularities between orthography and semantics in English, without any prior…

Developing young children's vocabulary is essential for later reading success; thus, early childhood classrooms require a comprehensive vocabulary approach that teaches academic vocabulary. Yet even providing young children with child-friendly definitions of sophisticated words can be a challenge. First, the authors outline the components of a…

Purpose: It is often difficult for school-based speech-language pathologists (SLPs) to prioritize implementing new practices for children with speech sound disorders (SSDs), given burgeoning caseloads and the myriad of other workload tasks. We propose that de-implementation science (e.g., Davidson et al. 2017) is equally as important as…

Sperry, Sperry, and Miller (2018) aim to debunk what is called the 30-million-word gap by claiming that children from lower income households hear more speech than Hart and Risley (1995) reported. We address why the 30-million-word gap should not be abandoned, and the importance of retaining focus on the vital ingredient to language…

In real-world settings, vision language models (VLMs) should robustly handle naturalistic, noisy visual content as well as domain-specific language and concepts. For example, K-12 educators using digital learning platforms may need to examine and provide feedback across many images of students' math work. To assess the potential of VLMs to support…

Although there is a rich literature on children's strategies for remembering, little attention has been paid to characterizing developmental change within individual children and to examining mediators that may bring about such change. To address these issues, we assess children's memory skills over time while simultaneously examining…

This policy brief addresses the question: How long does it take English learners (ELs) to attain English proficiency and exit EL services? The researchers analyzed statewide longitudinal data from students who entered Oregon schools as ELs in kindergarten between 2006-07 and 2012-13. Using discrete-time survival analysis, the results of this study…