This paper describes the effects of a pairing method based on digital textbook logs and learners' artifacts in conceptual modeling exercises. The authors developed a digital textbook system called Smart E-Textbook Application (SEA) and a conceptual modeling tool called KIfU 3.0 to collect conceptual modeling activity logs in exercises. This study…

Gamification in second language acquisition research is a popular topic, but there are few empirical comparative studies in the literature. This quasi-experimental mixed-approach study enrolled 77 Japanese university EFL learners to enable a comparison between two digital vocabulary flashcard learning software conditions carefully designed by the…

This study aimed to examine the effect of incorporating the generative pre-trained AI chatbot, ChatGPT, into an instructor-led writing class on the motivation of Japanese university students. This study examines changes in students' Ideal L2 Self, Ought-to L2 Self, and L2 Learning Experience using Dörnyei's L2 Motivational Self System (L2MSS)…

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 development of information and communication technologies has created limitless prospects for using augmented reality (AR) in various fields. Unfortunately, the multitasking nature of AR systems prevents learners from successfully reflecting and retaining knowledge. This study developed and designed a learning analytics dashboard (LAD) with…

Plagiarism in academic writing is known to be an issue of concern for educators, administrators, and students alike. Using self-reporting studies and plagiarism detection software, previous research has established that plagiarism in university-level academic writing is relatively common amongst the work of L1 and particularly L2 writers and that…

This paper reports on research that aimed to provide initial insight into how university students in two different countries, Japan and Ukraine, coped with greater use of videoconferencing software and whether this resulted in any issues surrounding their online privacy. To facilitate learning under the COVID-19 pandemic, instructors and learners…

Purpose: This study builds a new system for automatically assessing learners' speech elicited from an oral discourse completion task (DCT), and evaluates the prediction capability of the system with a view to better understanding factors deemed influential in predicting speaking proficiency scores and the pedagogical implications of the system.…

This paper reports on the development and piloting of Classmoto, an online application designed to measure learner engagement. The application enables teachers to collect real-time analytics of student social, affective, and cognitive engagement. The results are immediately visible to the teacher. We investigated and reported on the engagement…

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…

School and university classrooms remain the standard around the world for second language instruction. However, over the past 20 years various methods of language learning have permeated the educational landscape to include self-study textbooks, language learning software and online teachers. Some models are evidence based while others lack…

Although initial research involving Intelligent Personal Assistants (IPAs) for language learning have yielded promising results, no study has examined their use in the context of Autonomous Second Language Learning (ASLL). Thus, the main goal of this pilot study was to investigate the use of an IPA, specifically Alexa, for ASLL. Two Japanese…

In this study, we investigated which section of a page was difficult for students to read, based on eye movement data and subjective impressions of the page's difficulty, with the aim of helping teachers revise teaching materials. It is problematic to manually model relationships between eye movements and subjective impressions of the page's…