34.1365, Calls: Technology for Second Language Learning - Advancing Technologies — Expanding Research
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LINGUIST List: Vol-34-1365. Sun Apr 30 2023. ISSN: 1069 - 4875.
Subject: 34.1365, Calls: Technology for Second Language Learning - Advancing Technologies — Expanding Research
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Date: 29-Apr-2023
From: Mahdi Duris [mduris at iastate.edu]
Subject: Technology for Second Language Learning - Advancing Technologies — Expanding Research
Full Title: Technology for Second Language Learning - Advancing
Technologies — Expanding Research
Short Title: TSLL2023
Date: 20-Oct-2023 - 21-Oct-2023
Location: Ames, Iowa, USA
Contact Person: Mahdi Duris
Meeting Email: tsll.iastate at gmail.com
Web Site: https://apling.engl.iastate.edu/conferences/technology-for-s
econd-language-learning-conference/tsll-2023/
Linguistic Field(s): Applied Linguistics; Computational Linguistics
Call Deadline: 31-May-2023
Meeting Description:
AI-powered technologies have made natural language recognition and
generation more accessible than ever before, opening up new
possibilities for applied linguistics research and practice. Like
previous advances in digital tools powered by natural language
processing, hypermedia, microcomputers, large databases, networking,
virtual reality, and wireless technologies, AI tools invite
professionals in applied linguistics to imagine new ways of teaching,
learning, assessing, and researching language. Unlike previous
advances, however, AI tools such as intelligent chatbots and spoken
dialog systems appear to forecast a seismic shift in practices in the
field.
The language capacities of these new tools call for exploration of
their potentials for new learning and assessment. They also require
inquiry into the skill set required of language learners and test
takers who have access to them. AI-powered bots for language learning
and assessment might, for example
Act as a partner in an interactive dialog
Evaluate students’ language production based on rules or a rubric
Provide comprehensive grammatical feedback on students’ texts
Guide students’ writing processes to increase the
comprehensibility of their texts
Generate level-appropriate texts on requested topics
Compose example texts for teaching and learning genre-appropriate
moves
Identify textual cues indicating a writer’s affective and
epistemic stances
On the occasion of the 20th anniversary of the Technology for Second
Language Learning (TSLL) conference at Iowa State University, we
invite abstracts describing research investigating the potentials,
uses, and implications of AI technologies for language teaching,
learning, assessment, and research. The conference theme, “Advancing
Technologies – Expanding Research,” signifies the multiple strands of
research and practice in applied linguistics affected by current and
future AI technologies.
We are particularly interested in work connected to one or more of the
following strands of applied linguistics research at Iowa State
University:
Data-driven language learning
Technology in project-based learning
Feedback on writing processes and products
Learning and assessment of spoken language
Language assessment design and validation
Language teacher education
We are particularly interested in exploratory studies using
design-based, 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.
Abstracts proposing papers related to the theme are invited for the
conference to be held in hybrid format at Iowa State University on
October 20-21, 2023.
Call for Papers:
On the occasion of the 20th anniversary of the Technology for Second
Language Learning (TSLL) conference at Iowa State University, we
invite abstracts describing research investigating the potentials,
uses, and implications of AI technologies for language teaching,
learning, assessment, and research. The conference theme, “Advancing
Technologies – Expanding Research,” signifies the multiple strands of
research and practice in applied linguistics affected by current and
future AI technologies.
We are particularly interested in work connected to one or more of the
following strands of applied linguistics research at Iowa State
University:
- Data-driven language learning
- Technology in project-based learning
- Feedback on writing processes and products
- Learning and assessment of spoken language
- Language assessment design and validation
- Language teacher education
We are particularly interested in exploratory studies using
design-based, 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.
Abstracts proposing papers related to the theme are invited for the
conference to be held in hybrid format at Iowa State University on
October 20-21, 2023.
Types of Sessions: Abstracts are invited for four 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. Presentations 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: 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 presenters will be assigned an
hour during the conference when their poster will be available to
conference participants. 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 interactively
with 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.
Round Tables: Discussion of issues raised for the field by open AI
tools. Round tables will be assigned a 30-minute time slot for
discussion by more than two people. Round tables are useful for
inviting participants’ ideas on topics such as the use of AI tools in
teaching and research, questions about AI tools in need of
investigation, and reflections about the impact of AI tools on the
field. 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
contribution of each member.
Submission: The site for submissions is now available here:
https://bit.ly/TSLL23Abstract . Submissions are accepted up to May
31st, 2023.
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