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Mlearn2009 [kompatibilitási mód]
This document describes an ontology-based content management system for mobile learning environments. It discusses how ontologies can be used to model relationships between learning objects, competencies, curricula and tests. This allows for adaptive testing, competency mapping, contextual learning and other personalized learning experiences. The system uses a semantic mediawiki to develop and connect learning content to the ontology. This provides a flexible way to select, deliver and manage learning technologies and resources on mobile platforms.
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Mlearn2009 [kompatibilitási mód]
- 1. Ontology Based Content Managementin a Mobilized Learning E i L i Environment Gábor Kismihók Dr. Réka Vas www.corvinno.com www corvinno com http://informatika.uni-corvinus.hu mLearn 2009 Orlando
- 2. Running e- andmLearning projects Ontology Based Personnel Selection and Recruitment Tba (start: 01/11/09) Mobile Technologies in Lifelong Learning http://motill.eu E-Learning Manager http://deis.ie/elm/ mPSS – mobile P f PSS bil Performance S Support S t t System (t k based mobile L (task b d bil Learning) i ) http://mpss.ath.cx Using wireless technologies for context sensitive education and training www.ericsson.com/contsens Corvinno Studio – Ontology Based Content Management and Delivery www.corvinno.com
- 3. What is anOntology? „ …ontologies aim to capture consensual knowledge in a generic and formal way so that they may be way, reused and shared across applications (software) and by groups of people Ontologies are usually built people. cooperatively by a group of people in different locations. locations ” (Corcho et al., 2003. p. 44.).
- 4. Complex, Ontology basedeLearning Learning HRM Technology selection and selection recruitment Adaptive Ontology Competency mapping testing modell Context Curricula based development Learning
- 5. The Ontology Model Learning HRM Technology selection and selection recruitment Adaptive Ontology Competency mapping testing modell Context Curricula based development Learning
- 6. Group of specifies tasks Educational serves is part of specifies is part of ontology is part of Scope of Task Activities A ti iti serves requires requires element of Competence prerequisite Competence Module requires ensures p prerequisite q element of Knowledge belongs to Curriculum is part of requires Area knowledge of Module is i part of t f prerequisite is part of is part of premise refers to refers to Basic Theorem Example E l concept conclusion refers to R. Vas, 2007 , refers to Test questions
- 7. Curricula Development Learning HRM Technology selection and selection recruitment Adaptive Ontology Competency mapping testing modell Context Curricula based development Learning
- 8. Curricula Development Curriculum belongs to element of part of Knowledge requires Area knowledge of part of part of part of premise refers to refers to Basic Theorem Example concept conclusion refers to refers to • C Conceptual f t l framework f courses k for • Clearly structures the required knowledge, nodes are y q g , connected to Learning Objects
- 9. Curricula Development • Differenttypes of connections between the nodes • Learning Content is developed in Semantic MediaWiki • Example: Studio MediaWiki
- 10. Adaptive testing Learning HRM Technology selection and selection recruitment Adaptive Ontology Competency mapping testing modell Context Curricula based development Learning
- 11. Adaptive Testing • Questionsare connected to the Ontology nodes • Test engine is adaptive: continuously monitors students’ g p y performance • A Built-in reasoning engine identifies the missing knowledge g g g g areas • Knowledge areas are only accepted if questions about underlying concepts are correct • Based on this information content is offered automatically • Demo Video • I t Interactive Web Demonstration ti W b D t ti
- 12. Learning Technology Selection Learning HRM Technology selection and selection recruitment Adaptive Ontology Competency mapping testing modell Context Curricula based development Learning
- 13. Learning Technology Selection •For investments seamless set of technological criteria is now available • This approach has been tested on institutional synchronous virtual learning software selection
- 14. HRM Selection andRecruitment Learning HRM Technology selection and selection recruitment Adaptive Ontology Competency mapping testing modell Context Curricula based development Learning
- 15. HRM Selection andRecruitment Higher education– Master level Ontology based learning environment Higher education– Bachelor level STUDIO Ontology based Workplace Ontology based learning g learning environment environm ent Higher vocational training Secondary Secondary vocational education training Basic vocational training
- 16. HRM Selection andRecruitment
- 17. Competency Mapping Learning HRM Technology selection and selection recruitment Adaptive Ontology Competency mapping testing modell Context Curricula based development Learning
- 18.
- 19. Context Based Learning Learning HRM Technology selection and selection recruitment Adaptive Ontology Competency mapping testing modell Context Curricula based development Learning
- 20.
- 21. Mobilised Learning Environment Learning HRM Technology selection and selection recruitment Adaptive Ontology Competency mapping testing modell Context Curricula based development Learning
- 22.