NLP in Elearning Current State and Visions Pavel

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NLP in E-learning Current State and Visions Pavel Smrž smrz@fi. muni. cz Faculty of

NLP in E-learning Current State and Visions Pavel Smrž smrz@fi. muni. cz Faculty of Informatics, Masaryk University in Brno, Republic Czech

E-learning at Masaryk University ü ü ü MU (more than 27, 000 students) is

E-learning at Masaryk University ü ü ü MU (more than 27, 000 students) is the second largest university in the Czech Republic. The university's curriculum is based on disciplines grouped under the faculties of Law, Medicine, Science, Education, Economics and Administration, Informatics, Social Studies, and Sports Studies. Fragmented implementations of LMS and no integration in publications of e-learning materials on web pages till 2002. 2003 – one-year national project aiming at integration of e-learning activities at MU (4 faculties)

E-learning at Masaryk University (2003) ü ü ü ILIAS chosen as the primary e-learning

E-learning at Masaryk University (2003) ü ü ü ILIAS chosen as the primary e-learning platform Integration with the administrative Information Server (IS MU) – all educational and research administration interlinked Kerberos support added Localization and customization of ILIAS Remaining 5 faculties invited New e-learning project proposal prepared focusing on the role of multimedia in education

NLP in E-learning at MU (2003) ü Intelligent meta-search engine for scientific resources ü

NLP in E-learning at MU (2003) ü Intelligent meta-search engine for scientific resources ü Language teaching (Cz. English) supported by DEB - open-source XML Database Management System (designed and implemented at FI MU) ü Integration with standalone system for semi-automated testing of students’ NL grammars

NLP in E-learning at MU (2004 -? ) ü Natural language processing support for

NLP in E-learning at MU (2004 -? ) ü Natural language processing support for e-learning enabling to go beyond simple multiple-choice tests ü Grammar checking of essays ü Authorship identification ü Automatic linking of additional study materials available at MU based on intelligent text analysis ü Integration with multimedia teaching materials