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Methodologies and Intelligent Systems for Technology Enhanced Learning, 8th International Conference / / edited by Tania Di Mascio, Pierpaolo Vittorini, Rosella Gennari, Fernando De la Prieta, Sara Rodríguez, Marco Temperini, Ricardo Azambuja Silveira, Elvira Popescu, Loreto Lancia



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Titolo: Methodologies and Intelligent Systems for Technology Enhanced Learning, 8th International Conference / / edited by Tania Di Mascio, Pierpaolo Vittorini, Rosella Gennari, Fernando De la Prieta, Sara Rodríguez, Marco Temperini, Ricardo Azambuja Silveira, Elvira Popescu, Loreto Lancia Visualizza cluster
Pubblicazione: Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019
Edizione: 1st ed. 2019.
Descrizione fisica: 1 online resource (318 pages)
Disciplina: 371.33
Soggetto topico: Computational intelligence
Artificial intelligence
Computational Intelligence
Artificial Intelligence
Persona (resp. second.): Di MascioTania
VittoriniPierpaolo
GennariRosella
De la PrietaFernando
RodríguezSara
TemperiniMarco
Azambuja SilveiraRicardo
PopescuElvira
LanciaLoreto
Sommario/riassunto: This book presents the outcomes of the 8th International Conference in Methodologies and Intelligent Systems for Technology Enhanced Learning held in Toledo (Spain) hosted by the University of Castilla-La Mancha from 20 th to 22nd June 2018. Further expanding the topics of the previous editions, the conference provided an open forum for discussing intelligent systems for technology enhanced learning (TEL) and their roots in novel learning theories, empirical methodologies for their design or evaluation, stand-alone and web-based solutions and maker spaces, and also fostering entrepreneurship and increasing business startup ideas. It brought together researchers and developers from industry, the education field and the academic world to report on the latest scientific research, technical advances and methodologies.
Titolo autorizzato: Methodologies and Intelligent Systems for Technology Enhanced Learning, 8th International Conference  Visualizza cluster
ISBN: 3-319-98872-7
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910483892903321
Lo trovi qui: Univ. Federico II
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Serie: Advances in Intelligent Systems and Computing, . 2194-5357 ; ; 804