Reflective thinking, which constitutes an important goal in language teacher education, can be fostered by participating in online communities of practice. This study explored types of reflective discourse generated by novice Spanish language teachers, and associated themes and categories, as they participated in a weekly blog and a…

This study focuses on how teachers' pedagogical content knowledge (PCK) of mathematics may differ depending on teacher interactions in an online teacher community of practice (CoP). The study utilizes data from 26,857 posts collected from the South Korean self-generated online teacher CoP, 'Indischool'. This data was then analyzed using natural…

This academic article has objectives were 1) to study the techniques in data analyzing of speech recognition systems techniques to detect reading aloud skills in Thai tonal conjugation for Primary Education Students, and 2) to study the effect of speech recognition systems techniques to detect reading aloud skills in Thai tonal conjugation for…

Corpus-based language teaching is one area of second language (L2) pedagogy in which L2 teachers may benefit from extensive guidance on how to integrate digital tools into pedagogical practices. Direct corpus approaches like data-driven learning (DDL) cultivate learner engagement and language discovery. However, second language writing (SLW)…

This study presents a corpus-based investigation of self-repairs in hearing adult L2 (M2L2, second modality and second language) learners of Swedish Sign Language ("Svenskt teckenspråk," STS). This study analyses M2L2 learners' STS conversations with a deaf signer and examines the learners' self-repair practices and whether there are…

Large language models have recently been able to perform well in a wide variety of circumstances. In this work, we explore the possibility of large language models, specifically GPT-3, to write explanations for middle-school mathematics problems, with the goal of eventually using this process to rapidly generate explanations for the mathematics…

This paper explores the potential of using Chat Generative PreTrained Transformer (ChatGPT), a powerful language model, as an innovative tool to enhance education in the classroom. Drawing from firsthand experience, this paper demonstrates how ChatGPT can be integrated into the teaching and learning process of statistics and data analytics…

This systematic review explores the evolution and impact of corpus-based methodologies in textbook analysis within the field of language education between 2010 and 2024. Utilizing the PRISMA framework, 29 studies were identified and analyzed, highlighting the transition from basic frequency analyses to sophisticated examinations of lexical,…

The application of natural language processing (NLP) technology in the field of education has attracted considerable attention. This study takes 716 articles from the Web of Science database from 1998 to 2023 as its research sample. Using bibliometrics as the theoretical foundation, and employing methods such as literature review and knowledge…

With the rapid development of generative artificial intelligence (AI) frameworks (e.g., the generative pre-trained transformer [GPT]), a growing number of researchers have started to explore its potential as an automated essay scoring (AES) system. While previous studies have investigated the alignment between human ratings and GPT ratings, few…

This corpus-based study investigates lexical bundles of keywords found in online news articles, aiming to equip high school students in Thailand with the linguistic tools necessary for English admission exams. The primary objectives of this investigation are twofold: (1) to compile a list of 100 essential exam preparation keywords from the…

In exam-oriented English as a Foreign Language (EFL) foundation program, achieving a balance between high-stakes testing and skill-based learning remains a challenge. This study examines the limited efficacy of timed reading activities (TRAs) in contexts where students prioritize test preparation over fluency-building practices. In line with the…

During language acquisition children generalise at multiple layers of granularity. Ambridge argues that abstraction-based accounts suffer from lumping (over-general abstractions) or splitting (over-precise abstractions). Ambridge argues that the only way to overcome this conundrum is in a purely exemplar/analogy-based system in which…

Purpose: The results of automatic machine scoring of the Index of Productive Syntax from the Computerized Language ANalysis (CLAN) tools of the Child Language Data Exchange System of TalkBank (MacWhinney, 2000) were compared to manual scoring to determine the accuracy of the machine-scored method. Method: Twenty transcripts of 10 children from…

This research uses the theoretical framework of CALL normalisation developed by Bax (2003) and Chambers and Bax (2006) to offer a systematic review (Gough et al., 2012) of the uses and spread of data-driven learning (DDL) and corpora in language learning and teaching across five major CALL-related journals during the 2011-2015 period. DDL research…