Satellite of SLaTE 2015: L1 Teaching, Learning and Technology
Satellite of Satellite of INTERSPEECH 2015, Leipzig, Germany, September 3, 2015
Due date full paper submission: May 1, 2015
The aim of this 1-day SoS (Satellite of a Satellite) workshop is to bridge the gap between researchers in education and researchers in speech and text processing technology by organizing a joint event where researchers from one workshop are able to visit the other workshop to get an idea of the respective positions on the state of the art on the topic of language and technology in education.
The SoS workshop intends to join researchers across countries on the topic of language teaching/learning. In contrast to SLaTE, papers submitted here do not have to employ any technology yet. We are looking for contributions from users that may not be aware of all the possibilities that the technologies have to offer to solve educational research problems. What these papers bring to the table are problem statements and data collections that the speech and text processing community may in turn not be aware of. Thus we are looking for symbioses between the two disciplines in research about learning/teaching language. Topics should include information about collection, annotation and free sharing of data for research purposes. Automation in data analysis and children’s applications for learning L1 and foreign language are equally important to share between researchers.
Submissions are expected to be formal papers that will be submitted to an international double-blind review process. It is important for both areas to get to know each others research questions and potential application for technologies. Key to this will be provided by this side-by-side platform that allows you to meet people with similar interests, share our work and forge new interactions across disciplines. In doing so, we are looking for a broad range of contributions from didactics, psychology and pedagogy from researchers interested in bridging the current gap to automation. Demonstrations as well as samples of data collections and annotations are welcome.