35.3398, Calls: "Artificial Intelligence in language learning and teaching" (YLMP2025: Thematic session)

[The LINGUIST List]

LINGUIST List: Vol-35-3398. Tue Dec 03 2024. ISSN: 1069 - 4875.

Subject: 35.3398, Calls: "Artificial Intelligence in language learning and teaching" (YLMP2025: Thematic session)

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Date: 27-Nov-2024
From: Iga Krzysik [ylmp at wa.amu.edu.pl]
Subject: "Artificial Intelligence in language learning and teaching" (YLMP2025: Thematic session)


Full Title: "Artificial Intelligence in language learning and
teaching" (YLMP2025: Thematic session)
Short Title: YLMP2025

Date: 16-May-2025 - 18-May-2025
Location: Poznań, Poland
Contact Person: Mateusz Jekiel
Meeting Email: mjekiel at amu.edu.pl
Web Site: https://ylmp2025.amu.edu.pl

Linguistic Field(s): Applied Linguistics; Computational Linguistics;
Language Acquisition; Pragmatics

Call Deadline: 06-Jan-2025

Meeting Description:

The special session "Artificial Intelligence in language learning and
teaching" will be held during the 9th Young Linguists' Meeting in
Poznań (YLMP 2025), taking place on May 16–18, 2025, in Poznań,
Poland. The conference is organized by the Faculty of English at Adam
Mickiewicz University, Poznań.

We encourage graduate and post-graduate students, as well as PhD
holders up to seven years after their thesis defense, to submit papers
to the conference. All other researchers are more than welcome to
attend the event without a paper of their own and contribute to the
discussions.

The Young Linguists’ Meeting in Poznań (YLMP2025) is pleased to
announce a special thematic session titled “Artificial Intelligence in
language learning and teaching".

The integration of Artificial Intelligence (AI) in language education
has been rapidly evolving, transforming traditional approaches to
language learning and teaching (e.g. Hockly 2023, Kaur et al. 2023,
Son et al. 2023). From intelligent tutoring systems and chatbots to
adaptive learning platforms and automated feedback systems, AI
technologies are reshaping how languages are acquired, practiced, and
assessed (e.g. Katiyar et al. 2024, Vančová 2023, Wei 2023). As the
field continues to advance, it brings both exciting opportunities and
complex challenges for educators, learners, and researchers alike. In
light of this dynamic landscape, we invite young scholars to
contribute to this session by presenting their projects—whether
completed, ongoing, planned, or in early stages—related to AI in
language learning and teaching.

The thematic scope of the session includes, but is not limited to:

• AI-Powered Language Learning Tools: Exploration of AI-driven
applications and platforms that facilitate language acquisition, such
as language learning apps, chatbots, and virtual tutors.
• Natural Language Processing: Investigating the role of NLP in
developing language assessment tools, automated grading systems, and
conversational agents that facilitate language practice.
• Personalised and Adaptive Learning: Exploring how AI can tailor
educational content to meet the diverse needs of learners based on
their individual progress and learning styles.
• Multimodal Learning: Integrating AI with multimodal approaches to
language learning, incorporating text, speech, images, and gestures.
• Data Analytics: Understanding how AI can leverage data to inform
instructional strategies, curriculum design, and learner support.
• Ethical Considerations: Discussing the ethical implications of using
AI in language education, including issues of bias, privacy, and the
digital divide.
• Accessibility: Exploring how AI can support learners with
disabilities or special needs through features like automated
captioning, speech-to-text, text-to-speech, and personalized
accessibility tools to create a more inclusive language learning
environment.

Session organiser: Mateusz Jekiel



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