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scopus(6)
A Research Agenda for Managing Uncertainty in Visual Analytics
Conference ObjectAbstract: This paper proposes a research agenda to tackle the challenges of uncertainty in Visual Analytics. WPalabras claves:Autores:Gutierrez F.J., Seipp K., Verbert K., Xavier OchoaFuentes:scopusContext-aware recommender systems for learning: A survey and future challenges
ReviewAbstract: Recommender systems have been researched extensively by the Technology Enhanced Learning (TEL) commuPalabras claves:Adaptive and intelligent educational systems, personalized e-learning, system applications and experienceAutores:Bosnic I., Drachsler H., Duval E., Manouselis N., Verbert K., Wolpers M., Xavier OchoaFuentes:scopusErauzOnt: A framework for gathering learning objects from electronic documents
Conference ObjectAbstract: Retrieving and reusing Learning Objects can lighten the workload of constructing new on-line coursesPalabras claves:Content Authoring, Knowledge acquisition, Learning objectsAutores:Arruarte A., Calvo I., Duval E., Jon A. Elorriaga, Larrañaga M., Verbert K.Fuentes:scopusTowards a visual guide for communicating uncertainty in Visual Analytics
ArticleAbstract: This article presents a first step towards the definition of a visual guide for communicating uncertPalabras claves:Algorithm mechanics, Geospatial visualisation, Information visualisation, Laymen, Non-experts, Uncertainty representation, Visual Analytics, Visual languageAutores:Gutierrez F.J., Seipp K., Verbert K., Xavier OchoaFuentes:scopusVISLA: Visual aspects of learning analytics
Conference ObjectAbstract: In this paper, we briey describe the goal and activities of the LAK15 workshop on Visual Aspects ofPalabras claves:Information Visualisa-Tion, learning analytics, Visual AnalyticsAutores:Duval E., Gillet D., Govaerts S., Klerkx J., Pardo A., Parra D., Verbert K., Wolpers M., Xavier OchoaFuentes:scopusThe Ariadne infrastructure for managing and storing metadata
ArticleAbstract: Reusing digital resources for learning has been a goal for several decades, driven by potential timePalabras claves:COMMUNITIES, Data Mining, e-Learning, Electronic learning, Emerging E-Learning Technologies, Engines, Federated search, Harvesting, internet, Learning object metadata, Learning Object Repositories, Metasearch, search engines, StandardsAutores:Duval E., Klerkx J., Ordóñez V., Parra G., Ternier S., Vandeputte B., Verbert K., Xavier OchoaFuentes:scopus