Methodologies and Intelligent Systems for Technology Enhanced Learning, 9th International Conference

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Details

This book, which gathers the outcomes of the 9th International Conference on Methodologies and Intelligent Systems for Technology Enhanced Learning and its related workshops, expands on the topics of the evidence-based TEL workshop series in order to provide an open forum for discussing intelligent systems for TEL, their roots in novel learning theories, empirical methodologies for their design and evaluation, stand-alone solutions, and web-based ones. The Conference was hosted by the University of Salamanca and was held in Ávila (Spain) from the 26th to the 28th of June 2019. Its goal was to bring together researchers and developers from industry, education, and the academic world to report on the latest scientific research, technical advances, and methodologies. We wish to thank the sponsors: IEEE Systems Man and Cybernetics Society, Spain Section Chapter and the IEEE Spain Section (Technical Co-Sponsor), IBM, Indra, Viewnext, Global Exchange, AEPIA, APPIA and AIR institute.




Latest research on methodologies and intelligent systems for technology enhanced learning Results of the 9th International Conference on Methodologies and Intelligent Systems for Technology Enhanced Learning held in Ávila, Spain, from 26th to 28th June, 2019 Focuses on the increasing role of intelligent systems to shape Technology Enhanced Learning for knowledge societies

Inhalt

Towards an Annotation System for Collaborative Peer Review.- A Moderate Experiential Learning Approach Applied on Data Science.- The Automated Grading of R Code Snippets: Preliminary Results in a Course of Health Informatics.- Learning by Fiddling: Patterns of Behaviour in Formal Language Learning.- Can Text Mining Support Reading Comprehension?.- Usability of Virtual Environment for Emotional Well-being.- Technology-based Trainings on Emotions: A Web Application on Earthquake-related Emotional Prevention with Children.- Using Rasch Models for Developing Fast Technology Enhanced Learning Solutions: An Example with Emojis.

Weitere Informationen

  • Allgemeine Informationen
    • GTIN 09783030239893
    • Auflage 1st edition 2020
    • Editor Rosella Gennari, Pierpaolo Vittorini, Fernando De La Prieta, Demetrio Arturo Ovalle Carranza, Marco Temperini, Ricardo Azambuja Silveira, Tania Di Mascio
    • Sprache Englisch
    • Genre Allgemeines & Lexika
    • Lesemotiv Verstehen
    • Größe H235mm x B155mm x T11mm
    • Jahr 2019
    • EAN 9783030239893
    • Format Kartonierter Einband
    • ISBN 3030239896
    • Veröffentlichung 25.06.2019
    • Titel Methodologies and Intelligent Systems for Technology Enhanced Learning, 9th International Conference
    • Untertitel Advances in Intelligent Systems and Computing 1007
    • Gewicht 295g
    • Herausgeber Springer International Publishing
    • Anzahl Seiten 188

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