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Derible, Albéric; Wiel, Éric – JALT CALL Journal, 2022
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…
Descriptors: French, Second Language Learning, Second Language Instruction, Computer Software
Dizon, Gilbert; Gayed, John M. – JALT CALL Journal, 2021
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…
Descriptors: Foreign Countries, College Students, Writing Evaluation, Computer Software
Davies, Renaud Jonathan – JALT CALL Journal, 2019
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…
Descriptors: Teacher Attitudes, Student Attitudes, Universities, Foreign Countries
Ashwell, Tim; Elam, Jesse R. – JALT CALL Journal, 2017
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…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Language Tests
Daniels, Paul; Iwago, Koji – JALT CALL Journal, 2017
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…
Descriptors: Computer Assisted Instruction, Second Language Learning, Second Language Instruction, Computer Software
Rockell, Kim – JALT CALL Journal, 2015
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…
Descriptors: Music, Phrase Structure, English (Second Language), Second Language Learning