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Intelligent Tutoring Systems

12th International Conference, ITS 2014, Honolulu, HI, USA, June 5-9, 2014. Proceedings

  • Conference proceedings
  • © 2014

Overview

Editors:
  1. Stefan Trausan-Matu

    1. Computer Science Department, University Politehnica of Bucharest, Bucharest, Romania

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  2. Kristy Elizabeth Boyer

    1. North Carolina State University, Raleigh, USA

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  3. Martha Crosby

    1. Department of Information and Computer Sciences, University of Hawaii, Honolulu, USA

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  4. Kitty Panourgia

    1. Neoanalysis Ltd., Athens, Greece

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 8474)

Part of the book sub series: Programming and Software Engineering (LNPSE)

Included in the following conference series:

Conference proceedings info: ITS 2014.

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Table of contents (110 papers)

  1. Front Matter

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  2. Affect

    1. Sensor-Free Affect Detection for a Simulation-Based Science Inquiry Learning Environment

      • Luc Paquette, Ryan S. J. D. Baker, Michael A. Sao Pedro, Janice D. Gobert, Lisa Rossi, Adam Nakama et al.
      Pages 1-10

    2. Towards Automatically Detecting Whether Student Is in Flow

      • Po-Ming Lee, Sin-Yu Jheng, Tzu-Chien Hsiao
      Pages 11-18

    3. To Quit or Not to Quit: Predicting Future Behavioral Disengagement from Reading Patterns

      • Caitlin Mills, Nigel Bosch, Art Graesser, Sidney D’Mello
      Pages 19-28

    4. Predicting Affect from Gaze Data during Interaction with an Intelligent Tutoring System

      • Natasha Jaques, Cristina Conati, Jason M. Harley, Roger Azevedo
      Pages 29-38

    5. It’s Written on Your Face: Detecting Affective States from Facial Expressions while Learning Computer Programming

      • Nigel Bosch, Yuxuan Chen, Sidney D’Mello
      Pages 39-44

    6. Impact of Agent Role on Confusion Induction and Learning

      • Blair Lehman, Arthur Graesser
      Pages 45-54

  3. Multimodality and Metacognition

    1. Automated Physiological-Based Detection of Mind Wandering during Learning

      • Nathaniel Blanchard, Robert Bixler, Tera Joyce, Sidney D’Mello
      Pages 55-60

    2. Knowledge Construction with Pseudo-haptics

      • Akihiro Kashihara, Go Shiota
      Pages 61-68

    3. A Tool for Integrating Log and Video Data for Exploratory Analysis and Model Generation

      • Victor Girotto, Elissa Thomas, Cecil Lozano, Kasia Muldner, Winslow Burleson, Erin Walker
      Pages 69-74

    4. Virtual Environment for Monitoring Emotional Behaviour in Driving

      • Claude Frasson, Pierre Olivier Brosseau, Thi Hong Dung Tran
      Pages 75-83

    5. The Affective Meta-Tutoring Project: Lessons Learned

      • Kurt VanLehn, Winslow Burleson, Sylvie Girard, Maria Elena Chavez-Echeagaray, Javier Gonzalez-Sanchez, Yoalli Hidalgo-Pontet et al.
      Pages 84-93

    6. Identifying Learning Conditions that Minimize Mind Wandering by Modeling Individual Attributes

      • Kristopher Kopp, Robert Bixler, Sidney D’Mello
      Pages 94-103

    7. Investigating the Effect of Meta-cognitive Scaffolding for Learning by Teaching

      • Noboru Matsuda, Cassondra L. Griger, Nikolaos Barbalios, Gabriel J. Stylianides, William W. Cohen, Kenneth R. Koedinger
      Pages 104-113

  4. Collaborative Learning

    1. Togetherness: Multiple Pedagogical Conversational Agents as Companions in Collaborative Learning

      • Yugo Hayashi
      Pages 114-123

    2. What Works: Creating Adaptive and Intelligent Systems for Collaborative Learning Support

      • Nia M. Dowell, Whitney L. Cade, Yla Tausczik, James Pennebaker, Arthur C. Graesser
      Pages 124-133

    3. Using an Intelligent Tutoring System to Support Collaborative as well as Individual Learning

      • Jennifer K. Olsen, Daniel M. Belenky, Vincent Aleven, Nikol Rummel
      Pages 134-143

  5. Data Mining and Student Behavior

    1. Bayesian Student Modeling Improved by Diagnostic Items

      • Yang Chen, Pierre-Henri Wuillemin, Jean-Marc Labat
      Pages 144-149

    2. Learning Bayesian Knowledge Tracing Parameters with a Knowledge Heuristic and Empirical Probabilities

      • William J. Hawkins, Neil T. Heffernan, Ryan S. J. D. Baker
      Pages 150-155

    3. Investigate Performance of Expected Maximization on the Knowledge Tracing Model

      • Junjie Gu, Hang Cai, Joseph E. Beck
      Pages 156-161
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About this book

This book constitutes the refereed proceedings of the 12th International Conference on Intelligent Tutoring Systems, ITS 2014, held in Honolulu, HI, USA, in June 2014. The 31 revised full papers, 45 short papers and 27 posters presented were carefully viewed and selected from 177 submissions. The specific theme of the ITS 2014 conference is "Creating fertile soil for learning interactions". Besides that, the highly interdisciplinary ITS conferences bring together researchers in computer science, learning sciences, cognitive and educational psychology, sociology, cognitive science, artificial intelligence, machine learning and linguistics. The papers are organized in topical sections on affect; multimodality and metacognition; collaborative learning; data mining and student behavior; dialogue and discourse; generating hints, scaffolds and questions; game-based learning and simulation; graphical representations and learning; student strategies and problem solving; scaling ITS and assessment.

Editors and Affiliations

  • Computer Science Department, University Politehnica of Bucharest, Bucharest, Romania

    Stefan Trausan-Matu

  • North Carolina State University, Raleigh, USA

    Kristy Elizabeth Boyer

  • Department of Information and Computer Sciences, University of Hawaii, Honolulu, USA

    Martha Crosby

  • Neoanalysis Ltd., Athens, Greece

    Kitty Panourgia

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