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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
  5. Open-Learner Modeling

    1. Susan Bull, Matthew. D. Johnson, Mohammad Alotaibi, Will Byrne, Gabi Cierniak
      Pages 199-208
  6. Metacognition and Self-Regulated Learning

    1. Daria Bondareva, Cristina Conati, Reza Feyzi-Behnagh, Jason M. Harley, Roger Azevedo, François Bouchet
      Pages 229-238
    2. Minghui Tai, Ivon Arroyo, Beverly Park Woolf
      Pages 239-248
  7. Natural Language Processing

    1. Rod D. Roscoe, Erica L. Snow, Danielle S. McNamara
      Pages 259-268
    2. Scott A. Crossley, Laura K. Varner, Rod D. Roscoe, Danielle S. McNamara
      Pages 269-278
  8. Pedagogical Agents

    1. Anton Axelsson, Erik Anderberg, Magnus Haake
      Pages 289-298
    2. Kasia Muldner, Cecil Lozano, Victor Girotto, Winslow Burleson, Erin Walker
      Pages 299-308
    3. H. Chad Lane, Clara Cahill, Susan Foutz, Daniel Auerbach, Dan Noren, Catherine Lussenhop et al.
      Pages 309-318
  9. Designed Learning Activities

    1. Albert Corbett, Ben MacLaren, Angela Wagner, Linda Kauffman, Aaron Mitchell, Ryan S. J. d. Baker
      Pages 319-328
  10. Educational Games and Narrative

    1. Erica L. Snow, G. Tanner Jackson, Laura K. Varner, Danielle S. McNamara
      Pages 359-368
  11. Educational Data Mining

    1. Mihai Dascalu, Philippe Dessus, Ştefan Trausan-Matu, Maryse Bianco, Aurélie Nardy
      Pages 379-388
    2. Tanja Käser, Alberto Giovanni Busetto, Barbara Solenthaler, Juliane Kohn, Michael von Aster, Markus Gross
      Pages 389-399
    3. Nan Li, Yuandong Tian, William W. Cohen, Kenneth R. Koedinger
      Pages 400-410
    4. Graham Erickson, Stephanie Frost, Scott Bateman, Gord McCalla
      Pages 411-420
    5. Kenneth R. Koedinger, John C. Stamper, Elizabeth A. McLaughlin, Tristan Nixon
      Pages 421-430
    6. Joseph E. Beck, Yue Gong
      Pages 431-440
  12. Assessment and Evaluation

    1. Takatoshi Ishii, Pokpong Songmuang, Maomi Ueno
      Pages 451-462
    2. Amali Weerasinghe, Antonija Mitrovic, Amir Shareghi Najar, Jay Holland
      Pages 463-472
    3. R. Charles Murray, Steven Ritter, Tristan Nixon, Ryan Schwiebert, Robert G. M. Hausmann, Brendon Towle et al.
      Pages 473-482
  13. Outreach and Scaling Up

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
  • Buy this book on publisher's site
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