35.345, Calls: AI in Education / (Dis)embodied interActIons

[The LINGUIST List]

LINGUIST List: Vol-35-345. Wed Jan 31 2024. ISSN: 1069 - 4875.

Subject: 35.345, Calls: AI in Education / (Dis)embodied interActIons

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Date: 31-Jan-2024
From: Daniel  Schug [dschug at parisnanterre.fr]
Subject: AI in Education / (Dis)embodied interActIons


Full Title: AI in Education / (Dis)embodied interActIons

Date: 24-Oct-2024 - 25-Oct-2024
Location: Université Paris Nanterre, France
Contact Person: Daniel Schug
Meeting Email: ailanguagelearning at sciencesconf.org
Web Site: https://ailanguagelearning.sciencesconf.org

Linguistic Field(s): Not Applicable
Subject Language(s): English (eng)

Call Deadline: 05-Apr-2024

Meeting Description:

Advances in Artificial Intelligence (AI) are changing how languages
are being taught and learned. Existing AI technologies can plan entire
lessons for teachers and even provide realistic communication practice
for learners; it is therefore important to analyze how these tools are
being used and how they are shaping L2 learning experiences.

This first international conference group invites researchers from all
over to join the discussion on this rapidly evolving field.
Specialists in a variety of fields, including but not limited
linguistics, education, communications, and public policy, are
strongly encouraged to submit proposals.

Call for Papers:

A full Call for Papers can be found on the conference website.
Abstracts must be submitted on SciencesConf:
https://ailanguagelearning.sciencesconf.org/resource/page/id/1

Our aim is to bring together specialists in linguistics, language
didactics, education, psychology, communications, and new technologies
to discuss and reflect on how this technology is impacting language
learning and education in general. We invite submissions on the
following subthemes:

Subtheme 1: AI & Language Teaching.   In this Subtheme, we welcome all
reflections and suggestions from researchers to understand the
significance of AI applications, including automatic assessment
systems, neural machine translation tools, intelligent teaching
systems (ITS), intelligent chatbots, intelligent virtual environments,
machine learning (ML), natural language processing (NLP), artificial
neural networks (ANNs), and affective computing (AC) in reshaping
teaching and learning.

Subtheme 2: AI & Language Learning.  In this Subtheme, we invite
papers that address students' use of AI technologies, including how AI
impacts language acquisition, contexts and motivations for AI use, the
effect AI has on learner autonomy, technology and socialization, AI
and the development of communication skills, AI use across cultures,
and the relationship between AI use and the learner's
cognitive-affective states.

Subtheme 3: AI, Institutions & Policies. In this Subtheme, we welcome
contributions that analyze the implementation of AI policies in
academic settings, ethical concerns surrounding AI in the classroom,
and the large-scale use of AI in syllabi or curricula.

 ** We also welcome proposals for practical workshops from language
teachers and teacher trainers at all levels. These presentations
should clearly present how to incorporate a specific AI tool in the
language classroom.

If you have any questions, don't hesitate to contact the conference
organisers:
Daniel Schug (Université Paris Nanterre) - dschug at parisnanterre.fr
Hanane Sarnou (Abdelhamid Ibn Badis University) -
hanane.sarnou at univ-mosta.dz



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