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Titlebook: Social Computing in Digital Education; First International Fernando Koch,Andrew Koster,Tiago Primo Conference proceedings 2016 Springer In

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Towards an Intelligent Learning Objects Based Model for Dynamic E-Learning Content Selection,Os in an adaptive way in Virtual Learning Environments. The proposed framework extends the Intelligent Learning Objects approach through the use of a BDI agent architecture, allowing the communication with the instructional resources that constitute the LO according to the SCORM standard. The agents
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The Socio-Cultural Approach to Software Engineering and its Application to Modeling a Virtual Learnvelopment of these new applications, while autonomy and intelligence are necessary skills to support sociability’s requirements. This is also true in the educational software area, where educational applications intermediate the interaction among students and teachers, and are increasingly intellige
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Experimental Evaluation on Machine Learning Techniques for Human Activities Recognition in Digital the context of technological education using data collected from smartphones sensors. The overall goal is to use the recognition of activities to identify students with attention deficit or hyperactivity problems, by recognizing three activities: walking, standing and sitting. Hence, this work focus
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Conference proceedings 2016 workshop aimed to discuss computational models of social computing applied to Digital Education. The 9 revised full papers presented were carefully reviewed and selected from 12 submissions. The papers address issues such as novel data mining and machine learning for social intelligence in digital
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Sebastián Gómez Jaramillo,Julián Moreno Cadavidticians and neuroscientists.Includes complete analysis pipel.This book discusses the modeling and analysis of magnetic resonance imaging (MRI) data acquired from the human brain. The data processing pipelines described rely on R. The book is intended for readers from two communities: Statisticians w
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