This study, which is part of a larger project that aims to make online math more accessible to students with visual impairments (VI), examines the text quality of math assessment items for students with VI who use screen readers. Using data from about 29.5 million students taking standard versions of the MAP Growth math assessment, and 48,845…

Unfortunately, far too many American adolescents are unable to read proficiently. The science of reading suggests explicit instruction in both word identification and language processing skills should bolster reading proficiency, but most commercial reading interventions for secondary students focus exclusively on the latter skill area. This study…

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…

Resolution to ambiguity imposed by English relative clauses (RC) was examined with Thai EFL students in this study. Offline experimental items included two-site context NPs, i.e., NP1 "of" NP2 (Complex NP of) and NP1 "with" NP2 (Complex NP "with") modified by RCs. As NP1 and NP2 occupy higher and lower positions in…

English speaking is considered the most difficult and anxiety-provoking language skill for EFL learners due to lack of access to authentic language use, fear of making mistakes, and peers' negative comments. With automatic speech recognition and natural language processing, intelligent personal assistants (IPAs) have potential in foreign language…

The present study tested whether the switch costs of production-based language switching tasks by trilinguals are due to competition from outside language schemas or from within language systems. We recruited 90 Tibetan-Chinese-English trilinguals in 10th grade in a Tibetan middle school in China to name digits and number words using different…

The aim of this research is to investigate the educational potential of AI-powered chatbots in Social Studies learning-teaching processes. The study was conducted using embedded design, evaluated within the framework of mixed methods research. The study group consists of 78 6th-grade students studying in three different classes, along with one…

This research investigated the impact of processing instruction (PI) on the acquisition of the English third-person singular present tense by Chinese English-as-a-foreign-language (EFL) learners and whether this effect would extend to the acquisition of other language components. This study featured the pretest-immediate-posttest design and…

Prompted by the challenges faced by teachers in balancing grammar and content in English classes, coupled with the poor English proficiency of rural Odia medium school students, the study aimed to devise an intervention that could balance content and grammar, thereby enhancing the grammar competency and content comprehension of eighth-grade…

This article provides three major contributions to the literature: we provide granular information on the development of student argumentative writing across secondary school; we replicate the MacArthur et al. model of Natural Language Processing (NLP) writing features that predict quality with a younger group of students; and we are able to…

Using Gyeonggi Educational Panel Study data on 4051 Korean students (N = 4051; 1967 female, 2084 male) from 63 middle schools, this longitudinal study investigated the growth trajectory for second/foreign language (L2) achievement and associations with various L2 motivational factors by using a multilevel latent growth curve model in…

In this study, we explore the potential of a natural language processing (NLP) approach to support discourse analysis of in-situ, small group learning conversations. The theoretical basis of this work derives from Bakhtin's notion of speech genres as bounded by educational robotics activity. Our goal is to leverage computational linguistics…

We investigated the feasibility of using automatic speech recognition (ASR) and natural language processing (NLP) to classify collaborative problem solving (CPS) skills from recorded speech in noisy environments. We analyzed data from 44 dyads of middle and high school students who used videoconferencing to collaboratively solve physics and math…

For academic success, it is increasingly important that students of all ages can produce and comprehend expository discourse. This article provides guidance to clinicians and educators on using language sample analysis (LSA) to assess the expository language abilities of students across grades. Focusing on microstructural and macrostructural…