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Rosella Gennari & Pierpaolo Vittorini 
Methodologies and Intelligent Systems for Technology Enhanced Learning, 9th International Conference 

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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.  





€149.79
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Table of Content

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.

Language English ● Format PDF ● Pages 174 ● ISBN 9783030239909 ● File size 11.5 MB ● Editor Rosella Gennari & Pierpaolo Vittorini ● Publisher Springer International Publishing ● City Cham ● Country CH ● Published 2019 ● Downloadable 24 months ● Currency EUR ● ID 7054790 ● Copy protection Social DRM

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