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NLP in E-learning Current State and Visions

This overview highlights the evolution of e-learning at Masaryk University (MU), the second largest university in the Czech Republic, serving over 27,000 students. Initially fragmented, e-learning initiatives were unified in 2003 through a national project utilizing ILIAS as the primary platform. Integration with administrative systems and innovative NLP applications followed, enhancing language teaching and assessments. Key advancements include intelligent meta-search engines, grammar checks, and personalized study material links, paving the way for enriched e-learning experiences.

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NLP in E-learning Current State and Visions

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

  2. E-learning at Masaryk University • 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)

  3. E-learning at Masaryk University (2003) • 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

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

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

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