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Artificial Intelligence in Education : 16th International Conference, AIED 2013, Memphis, TN, USA, July 9-13, 2013. Proceedings / edited by H. Chad Lane, Kalina Yacef, Jack Mostow, Philip Pavlik.
- Format:
- Book
- Series:
- Computer Science (SpringerNature-11645)
- Lecture notes in computer science. Lecture notes in artificial intelligence 2945-9141 ; 7926
- Lecture Notes in Artificial Intelligence, 2945-9141 ; 7926
- Language:
- English
- Subjects (All):
- Artificial intelligence.
- Education-Data processing.
- User interfaces (Computer systems).
- Human-computer interaction.
- Application software.
- Educational technology.
- Educational psychology.
- Artificial Intelligence.
- Computers and Education.
- User Interfaces and Human Computer Interaction.
- Computer and Information Systems Applications.
- Digital Education and Educational Technology.
- Educational Psychology.
- Local Subjects:
- Artificial Intelligence.
- Computers and Education.
- User Interfaces and Human Computer Interaction.
- Computer and Information Systems Applications.
- Digital Education and Educational Technology.
- Educational Psychology.
- Physical Description:
- 1 online resource (XXXII, 961 pages) : 203 illustrations
- Edition:
- 1st ed. 2013.
- Contained In:
- Springer Nature eBook
- Place of Publication:
- Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2013.
- System Details:
- text file PDF
- 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, 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.
- 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.
- Other Format:
- Printed edition:
- ISBN:
- 978-3-642-39112-5
- 9783642391125
- Access Restriction:
- Restricted for use by site license.
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