3rd Workshop—August 27–29, 2017, Collocated with SLaTE and Interspeech 2017

This workshop has been cancelled. While there were a number of submissions for technology with teams that are interested in automatically processing education data, no educational counterparts submitted, which renders the reason for the workshop obsolete.

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.

Topics of interest include but are not limited to:
  • 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

Two formats of submissions are accepted:
It is intended that authors submitting to the first track also participate in the second track, but this is not a requirement.

  1. Paper Presentations: Studies, Technological Demonstrations (Track 1)
    These traditional talks will constitute input sessions fostering and enriching the discussion in the workshop and the community. The submissions will be peer-reviewed.

    The talks will be scattered across the workshop, structuring the workshop's other track, namely, the concrete project work that is carried out (cf. Literal Workshopping). In order to not overlap with SLaTE, the focus here should be on L1 acquisition and we are reaching out specifically to communities from linguistics, education, didactics, psychology, and acquisition theory. In the long run, our hope is that these communities will fuse more closely.
    See Important Dates: Paper Submission Deadline 30 April 2017

  2. Literal Workshopping: Matching Up Partners for a Cross-Disciplinary Workshop (Track 2)

    Idea: 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 part of the workshop, you are matched up with other workshop participants in order to
    collaboratively work on your own research issue during the workshop. For either (a) technical teams with technology yet waiting for a (real-world) application or (b) educational teams with research questions lacking a technological solution, this part of the workshop allows them to directly work on new projects with a complementing team that can provide the missing bit.
    Proposal Submission
    In this track, two types of proposals are allowed for submission.
    1. 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.
    2. 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.
    1. By 31 March 2017, letters of intent should be submitted (via email to berkling at dhbw-karlsruhe at de) to show what kinds of problems, data sets and technologies are possible in both communities. This information is formatted according to the "letters of intent" that can already be seen. These are noncommittal and intended to show the spread of possible issues that can be worked on. Given this information:
    2. Both, technical and educational teams submit official proposals by 30 April 2017.
    3. The program committee will then review the proposals and send out letters of decision until 5 May 2017.
    4. In the next stage, those teams who got accepted can bid on other accepted proposals in order to work on these together with a complementary team in the workshop. That is, a technical team might expect their proposed technology to help with the proposed research question of an educational team. Vice versa, educational teams can bid to work with a specific technical team whose proposed technology would probably help answering their research question. The bidding process is finished until 15 May 2017.
    5. Next, the program committee reconciles the bids and accordingly assigns teams to each other until 30 May 2017. Next, the committee informs and connects the teams that are assigned to each other. They negotiate whether they need to prepare something for the workshop in advance.
    6. In the workshop, every accepted proposal will be presented to the entire group.
    7. Proposals by technical teams that do not have a match through bidding are discussed for potential applications, and those by educational teams without a match are discussed for potential solutions.
    8. In the workshop, long slots will be set up for the teams to directly work with each other. For example, the teams could cooperatively engineer features in the technical team's software that are necessary for answering a specific educational research question.
    9. Towards the end of the workshop, the teams present their finalized work or work in progress.
    10. In the long run, the cooperation projects result in joint publications by the teams.