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International Journal of Artificial Intelligence in Education

November 2013 Volume 23, Number 1

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Table of Contents

Number of articles: 7

  1. Studying the Effect of a Competitive Game Show in a Learning by Teaching Environment

    Noboru Matsuda, Evelyn Yarzebinski, Victoria Keiser, Rohan Raizada, Gabriel J. Stylianides & Kenneth R. Koedinger

    In this paper we investigate how competition among tutees in the context of learning by teaching affects tutors' engagement as well as tutor learning. We conducted this investigation by... More

    pp. 1-21

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  2. Statistical Techniques to Explore the Quality of Constraints in Constraint-Based Modeling Environments

    Jaime Gálvez, Ricardo Conejo & Eduardo Guzmán

    One of the most popular student modeling approaches is Constraint-Based Modeling (CBM). It is an efficient approach that can be easily applied inside an Intelligent Tutoring System (ITS). Even with... More

    pp. 22-49

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  3. Towards Automatically Detecting Whether Student Learning Is Shallow

    Sujith M. Gowda, Ryan S. Baker, Albert T. Corbett & Lisa M. Rossi

    Recent research has extended student modeling to infer not just whether a student knows a skill or set of skills, but also whether the student has achieved robust learning--learning that enables... More

    pp. 50-70

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  4. Problem Order Implications for Learning

    Nan Li, William W. Cohen & Kenneth R. Koedinger

    The order of problems presented to students is an important variable that affects learning effectiveness. Previous studies have shown that solving problems in a blocked order, in which all problems... More

    pp. 71-93

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  5. Understanding and Predicting Student Self-Regulated Learning Strategies in Game-Based Learning Environments

    Jennifer L. Sabourin, Lucy R. Shores, Bradford W. Mott & James C. Lester

    Self-regulated learning behaviors such as goal setting and monitoring have been found to be crucial to students' success in computer-based learning environments. Consequently, understanding... More

    pp. 94-114

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  6. Modelling and Optimizing Mathematics Learning in Children

    Tanja Käser, Alberto Giovanni Busetto, Barbara Solenthaler, Gian-Marco Baschera, Juliane Kohn, Karin Kucian, Michael von Aster & Markus Gross

    This study introduces a student model and control algorithm, optimizing mathematics learning in children. The adaptive system is integrated into a computer-based training system for enhancing... More

    pp. 115-135

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  7. Understanding Attention to Adaptive Hints in Educational Games: An Eye-Tracking Study

    Cristina Conati, Natasha Jaques & Mary Muir

    This paper presents a user study that investigates the factors affecting student attention to user-adaptive hints during interaction with an educational computer game. The study focuses on Prime... More

    pp. 136-161

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