Artificial Intelligence in Education

16th International Conference, AIED 2013, Memphis, TN, USA, July 9-13, 2013. Proceedings

  • H. Chad Lane
  • Kalina Yacef
  • Jack Mostow
  • Philip Pavlik

Part of the Lecture Notes in Computer Science book series (LNCS, volume 7926)

Also part of the Lecture Notes in Artificial Intelligence book sub series (LNAI, volume 7926)

Table of contents

  1. Front Matter
  2. Affective Computing and Engagement

    1. Joseph F. Grafsgaard, Joseph B. Wiggins, Kristy Elizabeth Boyer, Eric N. Wiebe, James C. Lester
      Pages 1-10
    2. Sylvie Girard, Maria Elena Chavez-Echeagaray, Javier Gonzalez-Sanchez, Yoalli Hidalgo-Pontet, Lishan Zhang, Winslow Burleson et al.
      Pages 21-30
    3. Lakshmi S. Doddannara, Sujith M. Gowda, Ryan S. J. d Baker, Supreeth M. Gowda, Adriana M. J. B. de Carvalho
      Pages 31-40
    4. Maria Ofelia Z. San Pedro, Ryan S. J. d. Baker, Sujith M. Gowda, Neil T. Heffernan
      Pages 41-50
    5. Jason M. Harley, François Bouchet, Roger Azevedo
      Pages 61-70
    6. Caitlin Mills, Sidney D’Mello, Blair Lehman, Nigel Bosch, Amber Strain, Art Graesser
      Pages 71-80
  3. Learning Together

    1. David Adamson, Divyanshu Bhartiya, Biman Gujral, Radhika Kedia, Ashudeep Singh, Carolyn P. Rosé
      Pages 81-90
    2. Huy V. Nguyen, Diane J. Litman
      Pages 91-100
    3. Roberto Martinez-Maldonado, Judy Kay, Kalina Yacef
      Pages 101-110
    4. Kazuhisa Miwa, Hitoshi Terai, Shoma Okamoto, Ryuichi Nakaike
      Pages 111-120
    5. Dimoklis Despotakis, Vania Dimitrova, Lydia Lau, Dhavalkumar Thakker, Antonio Ascolese, Lucia Pannese
      Pages 121-130
    6. Nesra Yannier, Kenneth R. Koedinger, Scott E. Hudson
      Pages 131-140
  4. Student Modeling and Personalisation

    1. Nathalie Guin, Marie Lefevre
      Pages 141-150
    2. Yutao Wang, Joseph Beck
      Pages 151-160
    3. Sébastien Lallé, Jack Mostow, Vanda Luengo, Nathalie Guin
      Pages 161-170
    4. Michael V. Yudelson, Kenneth R. Koedinger, Geoffrey J. Gordon
      Pages 171-180

About these proceedings

Introduction

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.

Keywords

HCI affective computing cognitive modeling conceptual knowledge distributed systems

Editors and affiliations

  • H. Chad Lane
    • 1
  • Kalina Yacef
    • 2
  • Jack Mostow
    • 3
  • Philip Pavlik
    • 4
  1. 1.Institute for Creative TechnologiesUniversity of Southern CaliforniaPlaya VistaUSA
  2. 2.School of Information TechnologiesUniversity of SydneySydneyAustralia
  3. 3.School of Computer ScienceCarnegie Mellon UniversityPittsburghUSA
  4. 4.Department of PsychologyUniversity of MemphisMemphisUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-642-39112-5
  • Copyright Information Springer-Verlag Berlin Heidelberg 2013
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science
  • Print ISBN 978-3-642-39111-8
  • Online ISBN 978-3-642-39112-5
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • About this book