35.438, Calls: 2024 Technology for Second Language Learning Conference

Wed Feb 7 15:05:05 UTC 2024

LINGUIST List: Vol-35-438. Wed Feb 07 2024. ISSN: 1069 - 4875.

Subject: 35.438, Calls: 2024 Technology for Second Language Learning Conference

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Date: 07-Feb-2024
From: Mahdi Duris [mduris at iastate.edu]
Subject: 2024 Technology for Second Language Learning Conference

Full Title: 2024 Technology for Second Language Learning Conference
Short Title: TSLL 2024

Date: 24-Oct-2024 - 26-Oct-2024
Location: Ames, Iowa, USA
Contact Person: Mahdi Duris
Meeting Email: tsll.iastate at gmail.com
Web Site: https://bit.ly/TSLL2024

Linguistic Field(s): Applied Linguistics; Language Acquisition;
Pragmatics; Sociolinguistics; Text/Corpus Linguistics
Subject Language(s): English (eng)

Call Deadline: 22-Apr-2024

Meeting Description:

Researching the Language and Use of Generative AI
October 24-26, 2024
-=-=-
Freely accessible generative AI has captured the attention of
professionals across disciplines with promises of recasting complex
language-related practices in every field. Applied linguistics has
been among the fields affected by open generative AI, most pervasively
through the need to address its impact on language teaching. AI tools
not only prompt language teachers to imagine new ways of teaching, but
also invite professionals in applied linguistics to investigate
language learning and assessment within a new world where machines can
create contingent, grammatical monologic and dialogic discourse in
response to novel prompts. The new imperatives and possibilities
presented by generative AI call for research that offers immediate
guidance and builds new knowledge about language use, language
learning and language assessment.

The 2024 TSLL conference will respond to this new world of language
and learning with the theme Researching the Language and Use of
Generative AI. Research on the language generated by AI is critically
important because all uses of generative AI for language learning and
assessment rely on the quality of the language produced by the AI for
particular purposes. The uses of generative AI include the learners’
and teachers’ direct access to AI as a source of language data for
teaching and learning. Generative AI is also used by developers of
learning materials and assessments in addition to language teachers
and assessment specialists.

The language capacities of these new tools call for exploration of
their potential for new forms of learning and assessment. They also
require inquiry into the skill set required of language learners and
test takers who have access to them. Some of the questions arising
include the following:

# How well does the stylistic and grammatical expression produced by
generative AI reflect natural language production?
# How can sociolinguistic, genre, and register approaches to language
variation be adopted or adapted for the study of variation in
AI-generated language?
# How well can generative AI respond to metalinguistic specifications
in prompts?
# How can theory, research, and practice in language assessment be
applied to testing the language performance of an AI?
# How can learners’ direct access to open AI support their performance
in and learning of the language they need in their content areas of
interest?
# How effective are specialized language learning and assessment tools
built from generative AI?
# What knowledge, strategies, and dispositions do language learners
need to develop in order to benefit from their use of generative AI?
# How can the theory and research into second language acquisition be
informed by the structure, training, and performance of generative AI?

Call for Papers:

The 2024 TSLL conference will follow up on the 2023 TSLL conference
which included many presentations on generative AI as applied
linguists began to explore its use. The past year has brought another
period of inquiry and experience with the many facets of generative
AI. The 2024 TSLL conference invites submissions proposing to share
research that builds new knowledge about the issues exemplified above.
We are particularly interested in empirical studies using
quantitative, qualitative, and mixed-methods research to reveal
insights into the linguistic, learning, and performance dimensions of
AI technologies for language teaching, learning, assessment, and
research. Submissions will be organized according to the following
strands:

# Linguistic analysis
# Language assessment
# Second language writing
# Second language speaking
# Second language acquisition
# Project-based language learning
# Language for academic purposes

Types of Sessions: Abstracts proposing papers related to the theme are
invited for the conference to be held in hybrid format at Iowa State
University in October 24-26, 2024. Abstracts are invited for three
types of sessions. Please note the abstract requirements and
evaluation criteria for each type of submission.

Individual Papers: Formal presentations making a scholarly
contribution of original knowledge to the field. Each presentation
will be 15 minutes followed by five minutes for discussion. The
abstract should be no longer than 300 words including references. The
abstract will be evaluated based on the fit of the topic to the
conference theme, apparent scholarly contribution of the work to the
field, and the clarity of the abstract in explaining the contents of
the presentation.

Colloquium: Several presentations on a single theme to be presented in
a 90-minute block of time. Typically, colloquia include four or five
presentations with an introduction to the topic and possibly followed
by a commentary, but the proposers can design the session as they see
fit. The abstract should be no more than 700 words including
references, and each contribution should be included in the abstract.
The abstract will be evaluated based on the fit of the topic to the
conference theme, the coherence of the multiple abstracts in
developing the colloquium topic, the apparent scholarly contribution
of the work to the field, and the clarity of the abstract in
explaining the contents of the session (including the timing for each
presentation).

Posters: Asynchronous online presentation of a scholarly contribution
in which visuals play an important role (e.g., demonstration of a
short video, interactive software, report of empirical research with
graphic models and data displayed in tables). Poster presentations
will be available online throughout the conference to conference
participants who will be invited to engage in an asynchronous
discussion with the presenter and other poster-viewers during the
conference. Presenters should plan a short description to provide
visitors, who will then engage in discussion about the poster. The
abstract for a poster should be no longer than 200 words including
references. Posters are a good opportunity to present to a small
audience eager to learn about the poster topic. The abstract will be
evaluated based on the fit of the topic to the conference theme,
apparent scholarly contribution of the work to the field, and the
clarity of the abstract in explaining the poster contents.

Submission: The site for submissions will open on March 1, 2024 for
submission of abstracts until the deadline on April 22, 2024.

Modality of presentations: The conference will be held in hybrid
format. Presentations are planned for in-person and remote delivery
depending on the wishes of the presenter. Presenters are requested to
make a decision about their desired format shortly after their paper
has been accepted.

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