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History of the B M E

ACHIEVEMENTS OF LEARNING DESIGN IN MULTI-AGENT MULTILANGUAGE INTELLIGENT SYSTEMS – THE I-TUTOR APPROACH Dénes Zarka BME BUDAPEST 14 June 2013. Oslo. History of the B M E. 1782 -1850 Institutum Geometricum - Hydrotechnicum 1846 - 1856 Joseph College of Technology

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History of the B M E

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  1. ACHIEVEMENTS OF LEARNING DESIGN IN MULTI-AGENT MULTILANGUAGEINTELLIGENT SYSTEMS – THE I-TUTOR APPROACHDénes Zarka BME BUDAPEST14 June 2013. Oslo

  2. History of the BME • 1782 -1850 Institutum Geometricum - Hydrotechnicum • 1846 - 1856 Joseph College of Technology • 1856 - 1871 Royal Joseph Polytechnic • 1871 - 1934 Royal Joseph University • 1934 - 1949 Royal Joseph Technical and Economical University in Hungary • 1949 -2000 Technical University of Budapest • 2000 - University of Technology and Economics

  3. The presenter • Electrical Engineer 48 (graduated ’89 BME) • From ‘92 instructional designer • Till ’98 Budapest Training Technology Center • From ‘98 BME Learing Innovation Center • Course develpmpnet content development, educational research, training of designers and tutors (TEL)

  4. The Centre • The ‘Distance Learning Centre’ opened in 1998 • 2003: Distance and Adult Learning Centre • The Distance and Adult learning Centre is continuing to accomplish its mission with a new name: Centre for Learning Innovation and Adult Learning since 2007 as a unit of Applied Pedagogy and Psychology Institute • The Centre is hosting EDEN (European Distance and E-learning Network) secretariat since 1997, which moved to Budapest from the British Open University

  5. Multi-agent, multi-language Intelligent Systems • Educational robots • Multi-function (more than one agent) • Multi-language • Multi-purpose • Multi-domain • Single platform

  6. Whom to support? • Designer • Design process • Domain • Instructional process • Tutor • Domain • Learner behaviour • Tuition process • Learner • Domain • Learning process

  7. What agents?

  8. Research in IISD Intellingent Instructional Systems Design (ADDIE) • Old school – Wants to solve the problem theoretically Agent model – ID model classical maching (agent-learner) • Long history: Pedagogical agent, Taxonomy agents, authoring agents (LDSE) • Ontological Agents • Semantical web (XML, OWL, LSA) • Standard vocabularies in ID

  9. Learning design agent • Learning design process: • Modules, sessions, activities • Didactical device: • Tool – title, people, time -> Learning path • Content – subject, objectives, finalities -> Content path • Desinging steps: • Modul design with macro objectives, description, keywords • Session design with micro objectives and activities

  10. Semantic support • Stemming, • Stop-words removal, • Keywords extraction, • Topic categorization, • NER, • Latent Semantic Indexing.

  11. Other agents • Chatbot • Alerting agent • Profiling agent

  12. http://edu-inno.bme.hu

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