
https://www.castledown.com/journals/jct
JALTCALL Trends is our newly launched refereed journal. It serves as a sister publication to the JALT CALL Journal, aiming to disseminate high-quality but shorter original research articles, as well as other content relevant to educators and researchers working in the field of computer-assisted language learning. This includes work-in-progress research reports, pedagogical practice papers, discussion papers, and reviews of books and of language learning software. As a hybrid journal, a special post-conference issue will also be published every year featuring papers presented at the annual JALTCALL Conference.
To submit a manuscript for review, please note the instructions below:
Please note that JALTCALL Trends is an independent sister publication to The JALT CALL Journal. If you would like to submit your manuscript to The JALT CALL Journal, please click on this link and follow the instructions.
Submission Guidelines for Special Issue (Conference Papers)
Manuscripts should generally be structured in the standard research paper format (i.e. an introduction section that includes a very brief literature review, followed by methods, results, discussion, and conclusion sections). However, for teaching practice or discussion papers, authors may use their own discretion in structuring the manuscript.
A list of references and a short biography of the author(s) should also be included. APA style referencing conventions (as described in the Publication Manual of the American Psychological Association, Seventh Edition) should be followed throughout the manuscript.
The total length of a manuscript should be 1,500 to 2,000 words, including the abstract, the references list and the short biography of the author(s).
Please download and carefully read the JALTCALL Trends manuscript template in MS Word format and then compose the content directly in this document without changing the formatting. Once the content has been thoroughly checked and proofread, the manuscript may be submitted for review using the submission link on the JALTCALL Trends website.
Please note that while the topic of AI is of great relevance to our field, we nevertheless expect all submissions to be essentially human-authored. Responsible use of AI as a writing and research tool is permitted, but it is important to exercise common sense and to maintain academic integrity in this regard. Ideas, structure, and wording should generally be the work of the author, and manuscripts may be rejected at the editorial team’s discretion if there is reasonable cause to suspect AI abuse. For further information on AI usage, please refer to the Author Guidelines of the Use of Generative AI by Castledown.
Submissions will be subject to a robust single-blind peer review process (i.e. reviewers will know authors’ identities, but authors will not know who reviewed their manuscript). Authors will have the chance to revise their manuscript after the first round of reviews, but submissions that fail to meet the standards of the journal or are judged to fall outside the scope of the publication will be rejected at the discretion of the editorial team.
By submitting a manuscript, authors agree to review at least two other manuscripts if requested to do so, and to complete these reviews within two weeks of receiving the request.
To ensure a timely publication cycle, all manuscripts must be submitted by Sunday, 19 October midnight Sunday, October 26th midnight (anywhere in the world).
Any enquiries regarding JALTCALL Trends may be sent to trends@jaltcall.org
We are looking forward to receiving your submission!
Warm regards,
Michael Hofmeyr, PhD
Editor, JALTCALL Trends
Publications Chair, JALTCALL
Volume 1 Issue 1 (2025)
Articles from Castledown
- GPT-based simulation of oral Q&A to support students attending first conference
Mayuko Aiba, Daisuke Saito, Nobuaki Minematsu - Exploring the efficacy of ChatGPT’s audio features in language learning
Steven MacWhinnie - Learner interactions with Jouzu: A mobile application with conversational characters
Zackary Rackauckas - AI as a writing feedback companion: Student beliefsAshton E. Dawes, Mariia Melnikova
- Utilizing an AI-CEFR checker: What is the efficacy for utilizing CEFR results for first year university students?
Simon D.C. Townsend, Andrew C. Tappenden - Language learning with Replika: Fostering grammar correction and conversational confidence
Ariko Nishimura - What AI does: a pragmatic analysis of a writing assignment
Tosh Tachino - Critical thinking in the digital age: CT through LMS-based classes
James Dunn - Generating discussion: Using ChatGPT to foster critical thinking skills
Kathryn Jurns - Teachers should let learners examine the output of AI translation
Toshiko Oda - A longitudinal look at Japanese students’ experience with technology
Edo Forsythe - Student perspectives on AI use in language learning
Michael Hofmeyr - Exploring AI integration in Japanese EFL classrooms: Insights and challenges
Amelia Ijiri, Sandra Healy - Exploring the frontiers of hybrid authorship in the development of AI-assisted, L2 crime stories
Paul Sevigny, Amreen Kaur Sawhney - Japanese English learners’ perceptions of ChatGPT for learning purposes: A preliminary study on use and guidance
Yurika Ito - Using machine translators for assessments of EAP courses – Perspectives of students and teachers
Linda Lin, Pei Hong Lin - Technology literacy & language learning: Undergraduate attitudes
Barrie Matte, Aeric Wong, Hiroyo Nakagawa, Kaori Hakone, Philip Head, Tamara Swenson, Aaron C. Sponseller - Students’ responses towards the use of screen recording technology in the teacher’s feedback for students’ EMI writing assignments at a university in Vietnam
Nguyen Thi Thuy Trang - Development and evaluation of a course integrating machine translation and Generative AI in higher education English learning
Michiyo Oda, Ryo Saito - Beyond basics: A ten-lesson in-depth unit on generative AI for language students
Euan Bonner, Ryan Lege, Erin Frazier - An introduction to corpus technology in the age of AI
Sadie Nitta - The successful use of AI for English teachers’ professional development
Lailatul Nurjanah, Bambang Yudi Cahyono, Nunung Suryati - Addressing machine translation and AI tool use in the English language learning classroom
Troy Rubesch, Kym Jolley - A linguistic depiction of a picture description task using Register Analysis
Trevor Sitler - Why aren’t students using my learner management system?
Iain Stanley - A technical background on artificial intelligence and intelligent language models
Robert Swier - Utilizing artificial intelligence for creating an extensive reading library: A case study with ChatGPT
Miguel Mision - Digital games in the language classroom: Designing better curricula through exploratory factor analysis
Kevin Reay Wrobetz - Enhancing cross-cultural exchange with AI: ChatGPT’s role in an international online student conference
Brent Jones - Creating opportunities for cross-border interaction: Insights from a synchronous Japan-Taiwan virtual exchange
Brent Kelsen, Brian Birdsell, Barry Kavanagh
