Call Deadline: 28-Oct-2016
Topic: NLP for Learning and Teaching
Insights and techniques from Natural Language Processing (NLP) have long been incorporated into computer-assisted instruction (CAI) - predominantly in the domain of language learning - in order to support self-directed, blended, or classroom learning. NLP has also advanced research in CAI. Today, NLP is driving research and innovation related to Massive Open Online Courses, pronunciation training, tutoring systems for mathematics, and applications for learning sign languages, among many other examples.
NLP has mainly served to analyse learners' responses, detect errors and provide feedback, monitor learning progress, and assist the production of educational content. NLP is also involved in plagiarism detection, writing support, and in the creation of ontologies for adaptive learning systems.
While the contribution of NLP to CAI is generally regarded as positive, only a handful of applications have made it to the general public as commercial software. This may be due to high production costs, the perceived quality of NLP for such applications, or the way in which NLP is integrated into current systems.
This issue of TAL is dedicated to ''NLP for learning and teaching'' and aims to summarize the contribution of NLP to CAI, both at a theoretical level (opportunities, limitations, integration methods) and at the level of implementation.
Authors are invited to submit papers on all aspects of NLP for CAI for a given discipline, including, but not limited to:
-Contribution of (written or spoken) NLP to CAI systems
-Needs and requirements of NLP techniques and methods for instructional systems design
-Instructional design methodology for NLP-based CAI systems
-Presentation of systems and learning tools involving NLP
-Collection and use of language corpora for pedagogical purposes using NLP
-Use of learner corpora and error annotation using NLP
-Automated evaluation of learner writing and short answers using NLP
-(Semi)automated diagnostic assessment and remedial help
-Design and setting up of activities involving NLP
-Language resources for NLP-based instruction and learning
-Automated selection of text resources based on pedagogical criteria
-Development, presentation and use of linguistic and metalinguistic information for pedagogical purposes
-Learner modelling based on his linguistic output
-Approaches and methods for plagiarism detection
Position papers and state of the art papers are also welcome.
Papers can be written in French or in English. Submissions in English will only be accepted if at least one of the authors is not a native speaker of French.
Submitted papers should be 20 to 25 pages long. Any dispensation regarding length should be previously discussed with the guest editors.
Authors are invited to submit their paper as a PDF file on http://tal-57-3.sciencesconf.org/, by clicking on ''Soumission d'un article'', after having previously registered and logged in on SciencesConf.org.
The TAL Journal follows a double-blind peer-reviewing process. All submissions must be carefully anonymized.
Stylesheets are available online on the journal website: http://www.atala.org/IMG/zip/tal-style.zip.
-Paper submission deadline: 28 October, 2016
-Notification to the authors after first review: 17 February, 2017
-Notification to the authors after second review: 28 April, 2017
-Publication: September 2017
-Georges Antoniadis, Université Grenoble-Alpes, LIDILEM, France
-Piet Desmet, KU Leuven, iMinds-ITEC, Belgium