This study provides the first large-scale quantitative exploration of mathematical language use in U.S. classrooms. Our approach employs natural language processing techniques to describe variation in the use of mathematical language in 1,657 fourth and fifth grade lessons by teachers and students in 317 classrooms in four districts over three…

This study explores using transfer learning in machine learning for natural language processing (NLP) to create generic automated essay scoring (AES) models, providing instant online scoring for statewide writing assessments in K-12 education. The goal is to develop an instant online scorer that is generalizable to any prompt, addressing the…

Recent studies have accumulated to suggest that children, akin to adults, exhibit a processing advantage for formulaic language (e.g. "save energy") over novel language (e.g. "sell energy"), as well as sensitivity to phrase frequencies. The majority of these studies are based on formulaic sequences in their canonical form. In…

The assessment data in La Frontera School District suggests a need for improving instructional practices for middle school emergent bilingual migrant students' language and reading development. One possible solution to the language and literacy issues maybe introducing cognates. Cognates are words with identical or similar orthography and meaning…

Teaching axiomatic representation of mathematical objects in all grades can and should be done. The paper analyzes students' understanding and how they perceive theorems using problem posing. We looked at how English-language learners create questions about four geometric theorems from a 9th-grade math textbook. The analysis looks at the…

This study examined the validity of data collected from a novel online story retell task. The task was specifically designed for use by junior school teachers with the support of speech-language therapists or literacy specialists. The assessment task was developed to monitor children's oral language progress in their first year at school as part…

Academic discourse communities and learning circles are characterized by collaboration, sharing commonalities in terms of social interactions and language. The discourse of these communities is composed of jargon, common terminologies, and similarities in how they construe and communicate meaning. This study examines the extent to which discourse…

In this paper we used natural language processing to review hundreds of thousands of negative student reviews of their teachers submitted to the website RateMyTeacher.com. Our analysis identified several issues raised by students when rating teachers poorly, which adds to the literature that defines "bad teachers" from the student…

This study investigated a new conversation-based assessment for English language learners. In this assessment, students converse with animated agents in natural language conversations to assess various aspects of English language learning. In a between subjects design, 31 students (N = 31) were asked questions by either the newly created system or…

Previous studies offer mixed evidence regarding whether a unified model of reading comprehension predictors applies to Dual Language Learners (DLLs) and English Speakers (ESs), or whether distinctive models across language groups are empirically supported. The present study adds another dimension to this body of work by examining multiple reading…

The purpose of this study was to investigate the impact of teaching daily math word problems in a 3-6th grade ELL classroom on math vocabulary use and math word problem and place value comprehension. This study sought to answer the following research question: "How does direct instruction of mathematical operation keywords through teaching…

We expect that word knowledge accumulates gradually. This article draws on earlier approaches to assessing depth, but focuses on one dimension: richness of semantic knowledge. We present results from a study in which three distinct item types were developed at three levels of depth: knowledge of common usage patterns, knowledge of broad topical…