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Requirements and Solutions for Personalized Adaptive Learning Kravcik, M., Angelova, G., Ceri, S., Cristea, A., Damjanović, V., Devedžić, V., Dimitrova, V., Dolog, P., Đurić, D., Gašević, D., Guinea, S., Henze, N., Jeremić, Z., Jovanović, J., Krdžavac, N., Matera, M., Nejdl, W., Obrenović, , Šimić, G., Specht, M., Weibelzahl, S. Research report of the ProLearn Network of Excellence (IST 507310), Deliverable 1.1 (2005) - http://hal.archives-ouvertes.fr/hal-00590961

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Type de publication	Autres publications
Auteur(s)	Milos Kravcik1, Galia Angelova2, Stefano Ceri3, Alexandra Cristea4, Violeta Damjanović5, Vladan Devedžić5, Vania Dimitrova6, Peter Dolog7, Dragan Đurić5, Dragan Gašević5, Sam Guinea3, Nicola Henze7, Zoran Jeremić5, Jelena Jovanović5, Nenad Krdžavac5, Maristella Matera3, Wolfgang Nejdl7, Željko Obrenović5, Goran Šimić5, Marcus Specht1, Stephan Weibelzahl8
Laboratoire	1 :  Fraunhofer Institute for Applied Information Technology Fraunhofer FIT, Berlinghofen Allemagne 2 :  Linguistic Modelling Department Bulgarian Academy of Sciences Bulgarie 3 :  POLIMI Politecnico di Milano Italie 4 :  Eindhoven University of Technology Eindhoven University of Technology Pays-Bas 5 :  Department of Information Systems and Technologies FON -School of Business Administration University of Belgrade Yugoslavia 6 :  School of Computing Leeds University Royaume-Uni 7 :  L3S – Learning Lab Lower Saxony Universitat Hannover Allemagne 8 :  School of Informatics National College of Ireland Irlande
Domaine	Informatique/Environnements Informatiques pour l'Apprentissage Humain Sciences de l'Homme et Société/Education
Titre	Requirements and Solutions for Personalized Adaptive Learning
Résumé	In D1.1 we analyzed the available solutions. Current learning environments are typically web based, but they usually do not take into account heterogeneous needs of users and provide the same learning material to students with different knowledge, objectives, interests, and in different contexts. Currently there is no technical standard for the communication between the various personalized adaptive learning tools as well as no metadata standard for meaningful exchange of learner model and learning content data.
Langue du texte intégral	Anglais
Date de production, écriture	2005
Date de publication	2005
Description	Research report of the ProLearn Network of Excellence (IST 507310), Deliverable 1.1
Mots Clés	adaptive and intelligent web-based educational systems (AIWBES)
Thésaurus EIAH	Adaptive learning environment

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