Given the lack of computational tools available for assessing second language (L2) production in Korean, this study introduces a novel automated tool called the Korean Syntactic Complexity Analyzer (KOSCA) for measuring syntactic complexity in L2 Korean production. As an open-source graphic user interface (GUI) developed in Python, KOSCA provides…

Throughout history, artificial intelligence (AI) has impacted various aspects of human life and professional industries, including the field of education, by mimicking human behaviors and tasks to increase productivity and efficiency (Grudin et al., 2023; Haenlein & Kaplan, 2019). Generative AI is a form of AI using deep learning to quickly…

Age of Acquisition (AoA) scores approximate the age at which a language speaker fully understands a word's semantic meaning and represent a quantitative measure of the relative difficulty of words in a language. AoA word lists exist across various languages, with English having the most complete lists that capture the largest percentage of the…

Results of the Boston University Mellon Sawyer seminar 20162-019 (www.mellophilemerge.com) reveal that social and philosophical drives are increasingly central to our uses of technology, including AI. This raises critical challenges for democracy, especially in a hyper-connected world where social media shapes human conduct in ways we are only…

The thematic and information structure of scientific and technical texts are arguably different among languages. This study examines the thematic structure of scientific texts in English and Arabic to see the differences in the hierarchical organization at different thematic levels. It adopts Halliday's functional model of theme-rheme and applies…

Large language models (LLMs), such as Codex, hold great promise in enhancing programming education by automatically generating feedback for students. We investigate using LLMs to generate feedback for fixing syntax errors in Python programs, a key scenario in introductory programming. More concretely, given a student's buggy program, our goal is…

The words in a language or language variety are often rank ordered in lists that are meant to reflect the relative importance of those words to language users and learners of a language. This rank ordering is done on the basis of the relative prevalence of words in a corpus. Lexical prevalence is often operationalized as measures of frequency,…

In addition to movies, television programs, and TED Talks presentations, podcasts are an increasingly popular form of media that promotes authentic public discourse for diverse audiences, including university professors and students. However, English language teachers in the English as a second language/English as a foreign language contexts might…

The inflectional diversity of parents' speech directed to children acquiring Dutch was investigated. Inflectional diversity is defined as the number of inflected forms of a particular lemma (e.g. singular, plural of a noun) and measured by means of Mean Size of Paradigm (MSP). Changes in the inflectional diversity of infant directed speech (IDS)…

Education policy in recent years has dramatically repositioned the role and status of teachers, trainee teachers and teacher education in the UK and beyond. This paper focuses specifically on education policy in England; however, it has broader significance for those interested in education and teacher education in international policy contexts.…

Evidence shows individual variation in lexical acquisition as a function of socioeconomic status and linguistic input. Research has primarily involved English-speaking populations and considered only mothers' child-directed speech. This study analyzes the effects of socioeconomic status on quantitative and qualitative properties of linguistic…

Goal: The problem of the authenticity of teacher questions has not received sufficient attention from educational researchers interested in the intersection between dialogue and argumentation. In this paper, we adopt a definition of authentic questions as dialogical units that prompt teacher-student interactions that are both productive (i.e.,…

Given the importance of corpus linguistics in language learning, there have been calls for the integration of corpus training into teacher education programmes. However, the question of what knowledge and skills the training should target remains unclear. Hence, we advance our understanding of measures and outcomes of teacher corpus training by…

By utilizing a massive corpus of textual data, large language models can generate unique human-like outputs to questions and interact with users in a natural conversational way. ChatGPT is one such platform, and since it emerged into the public consciousness in November 2022, it has generated both excitement and concern among educators. A growing…

Studies on automatic scoring systems in writing assessments have also evaluated the relationship between human and machine scores for the reliability of automated essay scoring systems. This study investigated the magnitudes of indices for inter-rater agreement and discrepancy, especially regarding human and machine scoring, in writing assessment.…