LTLT 2017 - 3rd Workshop on Language Teaching, Learning and Technology

3rd Workshop on Language Teaching, Learning and Technology
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August 27-29, 2017, Helsinki, Finland
Collocated with SLaTE and Interspeech 2017
https://sites.google.com/site/l1teachingandtechnol...
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The 3rd Workshop on Language Teaching, Learning and Technology is going to take place in Helsinki after SLaTE at the Department of Signal Processing and Acoustics, Aalto University, School of Electrical Engineering. For attendees of SLaTE, the workshop starts at the night ferry from Stockholm to Helsinki and continues in the Speech Labs of the Aalto University.
The workshop offers the possibility to present works as talks in the classic manner (Track 1), but also to directly work on open problems with other experts (Track 2). For the latter, the workshop will have long slots for which the participating technical and educational teams are matched up. In these slots, the teams will sit down together at the computer, discuss, and engineer solutions to their research problems on LTLT topics.
The LTLT workshop intends to create symbioses between researchers across disciplines of a) education and psychology with b) the speech community. Recent developments such as big data in learning environments, learning analytics, and the quest for the gamification of education challenge the field to come together using new technologies and computational methods in order to be able to answer nascent educational research matters.
Papers submitted here are not required to employ any technology yet. We are looking for contributions from users that may not be aware of all the possibilities that technologies offer for solving educational research problems. In turn, these papers bring problem statements and data collections to the table that the speech and text processing community may not be aware of. It is crucial for both areas to get to know each other's research questions and potential applications for new technologies. In the future, these collaborators can then publish jointly at venues like SLaTE or WOCCI.
The workshop is collocated with Interspeech's associated workshops focusing on automatic speech and text processing. This format allows you to meet people with similar interests, share your work, and forge new interactions across disciplines. In doing so, we are looking for a broad range of contributions from didactics, psychology, and pedagogy by researchers interested in bridging the current gap to automation. Demonstrations, samples of data collections, and annotations as well as proper open problem statements are welcome.
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Topics of interest include but are not limited to:
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- data collection, methods, diagnostic/assessment, annotation, recognition, analysis, progression of skills, for example in:
-- spoken and written interaction/discourse
-- handwriting
-- text production
-- reasoning
-- story telling
-- spelling or typing mistakes
-- responses in educational assessments
-- interventions and their evaluations
- evaluation of L1/L2 teaching methods
- teaching L2 kids in an L1 class environment
- issues in majority language learning environments for L1 and L2 learners
- models of learning
- applications for teaching, self-learning, classroom learning
- giving feedback
- technology in the classroom
- games for language learning
- other analyses and ideas that have to do with language teaching, learning, and assessment
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Two formats of submissions are accepted:
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Track 1) Paper Presentations: Studies, Technological Demonstrations---These traditional talks will constitute input sessions fostering and enriching the discussion in the workshop. The submissions will be peer-reviewed.
Track 2) Literal Workshopping: Matching Up Partners for a Cross-Disciplinary Workshop---Bring your own research problem, find a partner to solve it, and collaboratively work on the problem within the three days of workshopping.
In this track, two types of proposals are allowed for submission.
** Proposal of Language Technology:
Technologies with specific or broad applications in educational research or practice; the team should join the workshop with some kind of implementation that is scalable to new research questions.
** Proposal of an Educational Problem:
Feasible project ideas on language teaching, learning, or assessment with only vague ideas of according technology and of how to implement the required features; the team should join the workshop with a complete dataset or should otherwise have the concrete plans (and resources) to collect one in the near future.