Social Computing in Digital Education First International Workshop, SOCIALEDU 2015, Stanford, CA, USA, August 19, 2015, Revised Selected Papers /

This book constitutes the refereed proceedings of the First International Workshop, SOCIALEDU 2015, held in Stanford, CA, USA, in August 2015. The workshop aimed to discuss computational models of social computing applied to Digital Education. The 9 revised full papers presented were carefully revie...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Άλλοι συγγραφείς: Koch, Fernando (Επιμελητής έκδοσης), Koster, Andrew (Επιμελητής έκδοσης), Primo, Tiago (Επιμελητής έκδοσης)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2016.
Σειρά:Communications in Computer and Information Science, 606
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
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245 1 0 |a Social Computing in Digital Education  |h [electronic resource] :  |b First International Workshop, SOCIALEDU 2015, Stanford, CA, USA, August 19, 2015, Revised Selected Papers /  |c edited by Fernando Koch, Andrew Koster, Tiago Primo. 
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490 1 |a Communications in Computer and Information Science,  |x 1865-0929 ;  |v 606 
505 0 |a Novel data mining and machine learning for social intelligence in digital education -- Social modelling and simulation to investigate social behaviours, emotional intelligence, influence processes and other social aspects that may influence learning performance in an educational environment -- Smart environments and interactive systems of social computing in digital education -- Analysis of social media and media intelligence in digital education -- Mobile social gaming in digital education -- The utilization of mobile and wearable technology in social systems in digital education, and others. 
520 |a This book constitutes the refereed proceedings of the First International Workshop, SOCIALEDU 2015, held in Stanford, CA, USA, in August 2015. The 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 education.- Social modelling and simulation to investigate social behaviours, emotional intelligence, influence processes and other social aspects that may influence learning performance in an educational environment.- Smart environments and interactive systems of social computing in digital education.- Analysis of social media and media intelligence in digital education.- Mobile social gaming in digital education.- The utilization of mobile and wearable technology in social systems in digital education, and others. 
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650 2 4 |a Computer Applications. 
700 1 |a Koch, Fernando.  |e editor. 
700 1 |a Koster, Andrew.  |e editor. 
700 1 |a Primo, Tiago.  |e editor. 
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