SIG Linguistic and text-technological methods in eLearning

Status: inoperative

Chair: Maja Bärenfänger und Maik Stührenberg
E-Mail: maja.baerenfaenger@germanistik.uni-giessen.de, maik.stuehrenberg@uni-bielefeld.de

Motivation and Scope

The relevance of E-Learning has grown in the past ten years, both in academic and non-university environments. While most of the efforts done in the first decade concentrated on the creation of E-Learning platforms (Learning Management Systems), a second aspect, which became relevant during the last five years, was research on the didactic part of E-Learning, trying to locate a place for the technically enhanced learning scenarios in the wider range of learning in general.

For theses reasons often only Computer Science and Educational Science are meant as academic disciplines that drive the innovation, it is a fact that in addition Computational Linguistics and Text Technology are playing an important role, too. Examples of activities of both disciplines are ICALL, CALL and other NLP-related tasks and methods used in E-Learning applications, as well as the use of linguistic corpora for E-Learning, and E-Learning-related standards and specifications (e.g. IEEE LOM, SCORM, IMS Learning Design). Although research in these fields is often followed separately from each other, both research perspectives on E-Learning share two global tasks: 1. The implementation of adaptive and personalized learning, 2. the (semi-)automation of generating and retrieving learning objects, tests, glossaries or the like. The first task is either accomplished in the framework of ICALL and the use of NLP-methods (Computational Linguistics and Computer Science), or by adopting standards and specifications like SCORM, IMS Simple Sequencing or IMS Learning Design (Text Technology). With regard to the second task, computational linguists often rely amongst others on machine learning techniques or statistical methods, while Text Technology often focus on the step further ahead: the modeling of sustainable learning content using text-technological methods and tools (such as markup languages, open corpora or user generated content), which may be both automatically recombined and retrieved on the basis of the information provided by their annotation.

Activities

September 8, 2010: International Workshop on "Language technology and text-technological methods for E-Learning" at Konvens 2010; Invited Speakers: Prof. Dr. Erik Duval (Katholieke Universiteit Leuven), Prof. Dr. Iryna Gurevych (TU Darmstadt)

Winter 2010/11: Publishing of the workshop papers in a special issue of the Journal for Language Technology and Computational Linguistics (JLCL)