Conference Theme
[The call for proposals is now closed]
We are now accepting presentation proposals for the JALTCALL 2025 conference, scheduled to take place in Tokyo on 18-20 July at Tokyo University of Science, Katsushika Campus.
Following the COVID-19 pandemic and the recent AI boom, language teachers have all in effect now become CALL practitioners. The 2025 conference theme, CALL for All, recognizes this new reality in the educational profession.
JALTCALL strives to continue developing and expanding CALL as a discipline that benefits all language learners, and our annual conference aims to provide valuable opportunities for teachers, researchers, and other stakeholders in CALL to present their work, to exchange ideas, and to make meaningful new connections.
We will consider proposals on any CALL-related topic, but are especially interested in receiving submissions that include robust and empirical research findings or submissions on practical CALL-based teaching approaches that match one or more of the following thematic streams:
🤖 Artificial intelligence (AI) in CALL
🎮 Digital game-based language learning and teaching (DGBLLT)
⚖️ Ethics in CALL practice
🌐 Extended reality (XR) in CALL (this includes virtual reality (VR), augmented reality (AR) and mixed reality (MR))
🔥 Learner motivation and CALL
📚 Second language acquisition (SLA) theory and CALL
👩🏫 Teacher and learner experiences of CALL
🌍 Virtual exchange
Keynote speakers
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Glenn Stockwell
Learning to Tame the Tiger: Self-Directed Professional Development in Language Teaching with Artificial Intelligence
Glenn Stockwell (PhD, University of Queensland) is Professor of Applied Linguistics at the Graduate School of International Culture and Communication Studies, Waseda University. He is author of Mobile Assisted Language Learning: Concepts, Contexts and Challenges (Cambridge University Press, 2022) and editor of The Cambridge Handbook of Technology in Language Teaching and Learning (Cambridge University Press, 2025) and Computer Assisted Language Learning: Diversity in Research and Practice (Cambridge University Press, 2012). He is Editor-in-Chief of Computer Assisted Language Learning and the Australian Journal of Applied Linguistics. His current research interests include the impact of technology on teaching and learning, professional development in using technology for language teaching, artificial intelligence in language education, teacher and learner training with technology, and the development of learner autonomy.
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Mathias Schulze
Language Learning with GenAI: Bridging the Gap or Burning the Bridge
Mat is a professor of German (Applied Linguistics) and Comparative International Studies at San Diego State University. By training, he is a teacher of German and Russian. Later, he earned his PhD with the dissertation “Textana – Grammar and grammar checking in parser- based CALL” at the Centre for Computational Linguistics at the University of Manchester Institute of Science and Technology. Mat has conducted research on the intersection of artificial intelligence and language education for thirty years. His research on AI and CALL, grammar learning, online language courses, and societal bilingualism has been published widely in books and articles. More information is available at https://PantaRhei.press/mat.
Conference details
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🪪 Registration Fees
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JALT member
- early bird: ¥15,000 / regular: ¥18,000
Non-JALT member
- early bird: ¥17,000 / regular: ¥20,000
Student (not in full-time employment)
- early bird: ¥7,000 / regular: ¥9,000
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🗓️ Conference Schedule
- Coming soon
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🏫 Venue information
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Tokyo University of Science (Katsushika Campus)
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🏨 Accomodation options
- See this page for hotel options.
Submission types
Selection and Ranking Criteria
- Clarity and coherence of the proposal.
- Contribution to CALL research or relevance for CALL practice.
- Originality and timeliness of the research or pedagogical approach.
- All submissions in English.
- Maximum 200 words.
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Presentation* (25 minutes, individual or group)
- A traditional slideshow presentation of CALL-related research findings or of a teaching approach.
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Workshop (60 minutes)
- A hands-on demonstration of CALL-related software or a CALL-based teaching approach.
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Panel presentation** (60 minutes)
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- The panel must consist of three or four presenters and a moderator, who can either be one of the presenters or a non-presenter.
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Poster presentation (60 minutes)
- Presenters explain their CALL-related research or teaching approach with the aid of a poster.
*NOTE 1: When submitting a group presentation proposal, you do not need to list co-presenters at the submission stage. If your proposal is accepted, you can officially register co-presenters later.
**NOTE 2: In the panel presentation proposal, briefly describe the theme of the presentation and explain its importance for CALL. Also list the moderator and the presenters, along with a brief description of each presentation. The connection between each presenter’s contribution and the overall panel theme should be clear.
The moderator will introduce the discussion theme, after which each presenter will talk for approximately five minutes. The moderator will then lead the panel discussion with their own questions and may also take questions from the audience if time permits
Important Dates
1 January 2025 Call for proposals opens
14 March 2025 Deadline for submissions (extended)
31 March 2025 Notification of results
1 April - 31 May 2025 Early bird (including presenters*) registration period
1 June 2025 Regular registration opens
18-20 July 2025 Conference
*Note 1: All presenters (including co-presenters) must register by the early bird deadline (31 May). Presenters who have not registered by this deadline will risk having their presentations removed from the schedule.
Note 2: In order to support those with limited access to funding and who are not currently in full-time employment, full conference fee waivers may be offered to a small number of presenters. If you would like to apply for a fee waiver, please mention this in the notes section of the proposal submission form. Fee waivers will be awarded based on the strength of the presentation proposal.