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
Conference proceedings AIED 2013

DOI: 10.1007/978-3-642-39112-5

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

Table of contents (165 papers)

  1. Front Matter
  2. Affective Computing and Engagement

    1. Embodied Affect in Tutorial Dialogue: Student Gesture and Posture
      Joseph F. Grafsgaard, Joseph B. Wiggins, Kristy Elizabeth Boyer, Eric N. Wiebe, James C. Lester
      Pages 1-10
    2. Defining the Behavior of an Affective Learning Companion in the Affective Meta-tutor Project
      Sylvie Girard, Maria Elena Chavez-Echeagaray, Javier Gonzalez-Sanchez, Yoalli Hidalgo-Pontet, Lishan Zhang, Winslow Burleson et al.
      Pages 21-30
    3. Exploring the Relationships between Design, Students’ Affective States, and Disengaged Behaviors within an ITS
      Lakshmi S. Doddannara, Sujith M. Gowda, Ryan S. J. d Baker, Supreeth M. Gowda, Adriana M. J. B. de Carvalho
      Pages 31-40
    4. Towards an Understanding of Affect and Knowledge from Student Interaction with an Intelligent Tutoring System
      Maria Ofelia Z. San Pedro, Ryan S. J. d. Baker, Sujith M. Gowda, Neil T. Heffernan
      Pages 41-50
    5. Aligning and Comparing Data on Emotions Experienced during Learning with MetaTutor
      Jason M. Harley, François Bouchet, Roger Azevedo
      Pages 61-70
    6. What Makes Learning Fun? Exploring the Influence of Choice and Difficulty on Mind Wandering and Engagement during Learning
      Caitlin Mills, Sidney D’Mello, Blair Lehman, Nigel Bosch, Amber Strain, Art Graesser
      Pages 71-80
  3. Learning Together

    1. Automatically Generating Discussion Questions
      David Adamson, Divyanshu Bhartiya, Biman Gujral, Radhika Kedia, Ashudeep Singh, Carolyn P. Rosé
      Pages 81-90
    2. Identifying Localization in Peer Reviews of Argument Diagrams
      Huy V. Nguyen, Diane J. Litman
      Pages 91-100
    3. An Automatic Approach for Mining Patterns of Collaboration around an Interactive Tabletop
      Roberto Martinez-Maldonado, Judy Kay, Kalina Yacef
      Pages 101-110
    4. A Learning Environment That Combines Problem-Posing and Problem-Solving Activities
      Kazuhisa Miwa, Hitoshi Terai, Shoma Okamoto, Ryuichi Nakaike
      Pages 111-120
    5. ViewS in User Generated Content for Enriching Learning Environments: A Semantic Sensing Approach
      Dimoklis Despotakis, Vania Dimitrova, Lydia Lau, Dhavalkumar Thakker, Antonio Ascolese, Lucia Pannese
      Pages 121-130
    6. Tangible Collaborative Learning with a Mixed-Reality Game: EarthShake
      Nesra Yannier, Kenneth R. Koedinger, Scott E. Hudson
      Pages 131-140
  4. Student Modeling and Personalisation

    1. From a Customizable ITS to an Adaptive ITS
      Nathalie Guin, Marie Lefevre
      Pages 141-150
    2. Class vs. Student in a Bayesian Network Student Model
      Yutao Wang, Joseph Beck
      Pages 151-160
    3. Comparing Student Models in Different Formalisms by Predicting Their Impact on Help Success
      Sébastien Lallé, Jack Mostow, Vanda Luengo, Nathalie Guin
      Pages 161-170
    4. Individualized Bayesian Knowledge Tracing Models
      Michael V. Yudelson, Kenneth R. Koedinger, Geoffrey J. Gordon
      Pages 171-180

About these proceedings


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.


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

  • 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