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Artificial Intelligence in Education : 16th International Conference, AIED 2013, Memphis, TN, USA, July 9-13, 2013. Proceedings

Author: H Chad Lane; Kalina Yacef; Jack Mostow; Philip Pavlik
Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint : Springer, 2013.
Series: Lecture Notes in Computer Science, 7926.
Edition/Format:   eBook : Document : EnglishView all editions and formats
Summary:
This book constitutes the refereed proceedings of the 16th International Conference on Artificial Intelligence in Education, AIED 2013, held in Memphis, TN, USA in July 2013. The 55 revised full papers presented together with 73 poster presentations were carefully reviewed and selected from a total of 168 submissions. The papers are arranged in sessions on student modeling and personalization, open-learner modeling,  Read more...
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Additional Physical Format: Printed edition:
Artificial Intelligence in Education
Material Type: Document
Document Type: Book, Computer File
All Authors / Contributors: H Chad Lane; Kalina Yacef; Jack Mostow; Philip Pavlik
ISBN: 9783642391125 3642391125
OCLC Number: 940531128
Description: 1 online resource (XXXII, 961 p. 203 illustrations).
Contents: Student modeling and personalization.- Open-learner modeling.- Affective computing and engagement.- Educational data mining.- Learning together (collaborative learning and social computing).- Natural language processing.- Pedagogical agents.- Metacognition and self-regulated learning.- Feedback and scaffolding.- Designed learning activities.- Educational games and narrative.- Outreach and scaling up.
Series Title: Lecture Notes in Computer Science, 7926.
Responsibility: edited by H. Chad Lane, Kalina Yacef, Jack Mostow, Philip Pavlik.
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Abstract:

This book constitutes the refereed proceedings of the 16th International Conference on Artificial Intelligence in Education, AIED 2013, held in Memphis, TN, USA in July 2013. The 55 revised full papers presented together with 73 poster presentations were carefully reviewed and selected from a total of 168 submissions. The papers are arranged in sessions on student modeling and personalization, open-learner modeling, affective computing and engagement, educational data mining, learning together (collaborative learning and social computing), natural language processing, pedagogical agents, metacognition and self-regulated learning, feedback and scaffolding, designed learning activities, educational games and narrative, and outreach and scaling up.

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