This study seeks to clarify whether teachers are able to distinguish between essays written by English L2 students or generated by ChatGPT. 47 instructors who hold experience teaching English to native speakers of Japanese in universities or other higher education institutions were tested on whether they could identify between human written essays…

The overarching goal of this design-based research was to explore WhatsApp's potential for facilitating and supporting speaking and pronunciation instruction in an EFL large-class speaking course. More specifically, this paper explored the perceived learning outcomes of WhatsApp-supported pedagogy in large English-speaking classes. Ninety-nine…

This study searched for open-source semantic similarity tools and evaluated their effectiveness in automated content scoring of fact-based essays written by English-as-a-Foreign-Language (EFL) learners. Fifty writing samples under a fact-based writing task from an academic English course in a Japanese university were collected and a gold standard…

Four writing samples were obtained from 638 foreign college applicants who represented three major foreign language groups (Arabic, Chinese, and Spanish), and from 60 native English speakers. All four were scored holistically, two were also scored for sentence-level and discourse-level skills, and some were scored by the Writer's Workbench…