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…

The current study focuses on an e-learning platform called Furago designed to provide language instructors with exercises complementing activities already implemented in their classes. Its objective was to assess the impact the use of Furago could have on the listening skills of first-year Japanese university students. Statistical analyses that…

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 experimental study examined how VSTF (Visual-Syntactic Text Formatting)-based text benefits reading speed, reading comprehension, reading efficiency and retention for middle and high school students. Prospective within-subjects tests were conducted in Japan on a total of 132 students: 76 high school students from 12th grade and 56 middle…

In this exploratory study, the author examines both students' and teachers' perceptions of Moxtra, a cross-platform cloud collaboration service, as a blended learning tool in a language course. Participants were 242 first-year students studying General English and 8 teachers at the Bunkyo English Communication Centre (BECC) at Hiroshima Bunkyo…

The ultimate aim of our research project was to use the Google Web Speech API to automate scoring of elicited imitation (EI) tests. However, in order to achieve this goal, we had to take a number of preparatory steps. We needed to assess how accurate this speech recognition tool is in recognizing native speakers' production of the test items; we…

As online automatic speech recognition (ASR) engines become more accurate and more widely implemented with call software, it becomes important to evaluate the effectiveness and the accuracy of these recognition engines using authentic speech samples. This study investigates two of the most prominent cloud-based speech recognition engines--Apple's…

In universities throughout Japan, English language learners are required to stand in front of their peers and make a presentation with the aid of software such as Microsoft PowerPoint. This type of public speaking activity can often be an anxiety-inducing, glorified reading or memorization exercise of text-heavy slides that fails to meet the…

The availability of user-friendly coding software is increasing, yet teachers might hesitate to use this technology to develop for educational needs. This paper discusses studies related to technology for educational uses and introduces an evaluation application being developed. Through questionnaires by student users and open-ended discussion by…

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 paper reports on the experimental use of a recently developed musical looping app with a class of Japanese university students of English during 2014. Working in groups using shared hand-held devices, students created compositions based on lexical chunks or formulaic sequences selected freely from a fixed text. A scored example of one such…