Background: Vocabulary scores increase until approximately age 65 years and then remain stable or decrease slightly, unlike scores on tests of other cognitive abilities that decline significantly with age. Aims: To review the findings on ageing-related changes in vocabulary, and to discuss four methodological issues: research design; test type;…

Automating the classification of instructional strategies from a large-scale online tutorial dialogue corpus is indispensable to the design of dialogue-based intelligent tutoring systems. Despite many existing studies employing supervised machine learning (ML) models to automate the classification process, they concluded that building a…

At the turn of the new millennium, in an article published in "Language Teaching Research" in 2000, Dörnyei and Kormos proposed that 'active learner engagement is a key concern' for all instructed language learning. Since then, language engagement research has increased exponentially. In this article, we present a systematic review of 20…

ChatGPT, an artificial intelligence (AI) language model, holds significant promise for improving the quality and efficiency of teaching and learning. However, its potential challenges and disruptions in education systems require further investigation for a deeper understanding and mitigation. Given that ChatGPT is already being utilized and…

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

This qualitative action research case study is focused on better understanding the complex and intricate nature of code-switching among Black students. In today's educational climate, many Black students find themselves speaking one way with their closest friends and family members in front of the swing set and television and another way with…

Artificial intelligence has evolved since its inception in the 1950s, resulting in the creation of large language models that are trained on extensive data sets to understand and generate content, such as OpenAI's ChatGPT, which launched in November 2022. Modern technology that is easy to access and free to use, like ChatGPT, is changing the…

Making adults learn from larger linguistic units can facilitate learning article-noun agreement. Here we ask whether initial exposure to larger units improves learning by increasing the predictive associations between the article and noun. Using an artificial language learning paradigm, we taught 106 Hebrew-speaking participants novel article-noun…

This paper explores the development of an intelligent translation system for spoken English using Recurrent Neural Network (RNN) models. The fundamental principles of RNNs and their advantages in processing sequential data, particularly in handling time-dependent natural language data, are discussed. The methodology for constructing the…

The purpose of this research was to investigate the representation of black students in contemporary American English. Two questions were addressed, what is the semantic prosody of Black students, and what are the semantic roles for Black students. All the concordance lines containing the phrase Black students were downloaded from the Corpus of…

Over the last few decades, several definitions of dyslexia have centered on phonological awareness as the sole linguistic risk factor for developing dyslexia. Although difficulties with the acquisition and application of speech sounds can affect reading and spelling development, additional factors can as well and are included in other…

In light of mixed findings in existing input enhancement research, Issa and Morgan-Short in a 2019 article urged researchers to compare the relative effects of input enhancement that taps into learners' attention to the external format of second language (L2) target forms (e.g. through capitalizing or boldfacing the forms) and input enhancement…

General principles of human cognition can help to explain why languages are more likely to have certain characteristics than others: structures that are difficult to process or produce will tend to be lost over time. One aspect of cognition that is implicated in language use is working memory--the component of short-term memory used for temporary…

Throughout the world, schools are visited by students with different native languages. Therefore, the linguistic competencies of the students are diverse. Dealing with this diversity is a great challenge for teachers in general, including in science subjects. To face this challenge, all institutions involved in education should adapt their…

Measuring lexical diversity in texts that have different lengths is problematic because length has a significant effect on the number of types a text contains, thus hampering any comparison. Treffers-Daller et al. (2018) recommended a simple solution, namely counting the number of types in a section of a given length that was extracted from the…