Corpus analysis offers a more accurate understanding of a language than intuition but is not widely used in foreign language instruction. This study uses a hermeneutic-phenomenology approach and content analysis to examine the impact of a corpus literacy course on the perceptions and performance indicators of 29 English language teachers. The…

For some time, arguments have been made that for the increased successful use of corpus linguistics (CL), in the form of Data-Driven Learning (DDL; Johns, 1991) in the second language classroom, teacher education programs must play a central role by providing the necessary instruction and triggers. Three means of integrating corpora into teacher…

This study investigates the validity and reliability of generative large language models (LLMs), specifically ChatGPT and Google's Bard, in grading student essays in higher education based on an analytical grading rubric. A total of 15 experienced English as a foreign language (EFL) instructors and two LLMs were asked to evaluate three student…

Accurate description of language use is central to English for academic purposes (EAP) practice. Thanks to the development of corpus tools, it has been possible to undertake systematic studies of language in academic contexts. This line of research aims to provide detailed and accurate characterization of academic communication and to ultimately…

Over the past two decades, the pedagogical applications of corpus linguistics to language teaching have gained increased recognition. Consequently, there has been a growing interest in developing language teachers' corpus literacy as a required knowledge base for the successful implementation of corpus-based pedagogy. Following this line of…

This study proposes five components of corpus literacy skills (CL) based on a survey of previous studies to investigate in-service teachers' perceived CL skills. Subsequently, the relationships among these components will be explored. In addition, this study investigates whether age and teaching experience have an effect on perceived CL skills.…

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 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…

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…

The use of machine translation (MT) tools remains controversial among language instructors, with limited integration into classroom practices. While much of the existing research into MT and language education has explored instructor perceptions, less is known about how students actually use MT or how student use compares to instructor beliefs and…

Although there is a large and increasing body of research on the use of corpus data by language teachers and learners, the language teachers in question are also the researchers reporting on their use of corpora with their own learners. There is thus a gap, which this plenary speech addresses, between this research and the practice of language…

Machine Translation (MT) is receiving increasing attention within language education due to both its affordances and the potential it offers for academic misconduct. To understand more about teachers' views and practices, a survey was conducted with 153 foreign language (L2) educators who teach at Japanese universities. The survey examined their;…

In Thailand, where students encounter both Native EnglishSpeaking Teachers (NESTs) and Non-Native English Speaking Teachers (NNESTs)--with a significant portion of NNESTs being Thai and Filipino--a gap exists in understanding how Thai students interpret the terms Native English Speakers (NESs) and NESTs. This study aimed to explore this…

Despite the non-native English-speaking teachers' (NNESTs) movement, the literature documents widespread discrimination against NNESTs particularly in hiring discourse in English as a foreign language (EFL) contexts. The present study aims to shed light on another aspect of this discrimination in EFL internship advertisements by investigating the…