There is a rich body of literature that details the effects of automated writing evaluation (AWE) on second language (L2) students. However, these studies mostly focus on the impact that automated feedback has on writing performance, i.e. that is, there is a dearth of research on its influence on affective factors. Hence, this study was conducted…

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…

VocQGen is an automated tool designed to generate multiple-choice cloze (MCC) questions for vocabulary assessment in second language learning contexts. It leverages several natural language processing (NLP) tools and OpenAI's GPT-4 model to produce MCC items quickly from user-specified word lists. To evaluate its effectiveness, we used the first…

This study explores students' perceptions about using Automated Writing Evaluation (AWE), Grammarly (a paid version), as a complementary instructional tool to teach and support writing from sources. Participants were second-year students (n=37) at a public university in Japan. After in-class tasks aimed at teaching paraphrasing, summarizing, and…

While the use of automated writing evaluation software has received much attention in CALL literature, as Frankenberg-Garcia (2019) notes, empirical research on predictive text and intelligent writing assistants is lacking. Thus, this study addressed this gap in the literature by examining the impact of Grammarly, an intelligent writing assistant…

This article describes the development of a tense and aspect identifier, an online tool designed to help learners of English by harnessing a natural language processing pipeline to automatically classify verb groups into one of 12 grammatical tenses. Currently, there is no website or application that can automatically identify tense in context,…

Gamification of language learning is a clear trend of recent years. Widespread use of smartphones and the rise of mobile gaming as a popular leisure activity contribute to the popularity of gamification, as application developers can rely on an unprecedented reach of their products and expect acceptance of game-like elements by the users. In terms…

This study explores, describes and analyzes the utilization of smartphone apps by four Japanese university students to support learning English as a Foreign Language (EFL). Findings indicate that intermediate language learners use apps to access content and communicate on SNS and are not keen on studying discrete language parts. Participants…

This study extends research on written corrective feedback (CF) by investigating how timing of CF affects grammar acquisition. Specifically, it examined the relative effects of synchronous and asynchronous CF on the accurate use of the hypothetical conditional structure. Participants were 68 intermediate-level students of English at a university…

Despite having studied English for some 33 months, the students at the private junior high school in Japan described in this paper had never before been asked to write original compositions in the language. The researchers undertook a quasi-experimental pilot study in which the 156 (n= 156) participants were each asked to write four compositions,…

The IADIS CELDA 2012 Conference intention was to address the main issues concerned with evolving learning processes and supporting pedagogies and applications in the digital age. There had been advances in both cognitive psychology and computing that have affected the educational arena. The convergence of these two disciplines is increasing at a…