A Study on Learner Modeling Technology and Applications for Intelligent Tutoring Systems

Learner modeling forms the foundations for intelligent tutoring systems that provide adaptive and active learning guidance for learning and education quality enhancement. The aim of this study was to develop learner modeling technologies to form the foundation of intelligent tutoring systems. Specific research tasks include learner modeling building techniques, diverse learner state diagnosis methods and educational data mining.

[1]  Riichiro Mizoguchi,et al.  Deployment of Ontologies for an Effective Design of Collaborative Learning Scenarios , 2007, CRIWG.

[2]  Julita Vassileva,et al.  Design and evaluation of an adaptive incentive mechanism for sustained educational online communities , 2006, User Modeling and User-Adapted Interaction.

[3]  Masayuki Numao,et al.  A Category-Based Self-Improving Planning Module , 2004, Intelligent Tutoring Systems.

[4]  Antonija Mitrovic,et al.  ASPIRE: An Authoring System and Deployment Environment for Constraint-Based Tutors , 2009, Int. J. Artif. Intell. Educ..

[5]  Abdolhossein Sarrafzadeh,et al.  An adaptive real-time skin detector based on Hue thresholding: A comparison on two motion tracking methods , 2006, Pattern Recognit. Lett..

[6]  Antonija Mitrovic,et al.  The Effect of Adapting Feedback Generality in ITS , 2006, AH.

[7]  Abdolhossein Sarrafzadeh,et al.  Modeling and Recognition of Gesture Signals in 2D Space: A Comparison of NN and SVM Approaches , 2006, 2006 18th IEEE International Conference on Tools with Artificial Intelligence (ICTAI'06).

[8]  Shian-Shyong Tseng,et al.  Context Model and Context Acquisition for Ubiquitous Content Access in ULearning Environments , 2006, IEEE International Conference on Sensor Networks, Ubiquitous, and Trustworthy Computing (SUTC'06).

[9]  John G. Hedberg,et al.  A framework for fostering a community of practice: scaffolding learners through an evolving continuum , 2005, Br. J. Educ. Technol..

[10]  Yueh-Min Huang,et al.  Real-time learning behavior mining for e-learning , 2005, The 2005 IEEE/WIC/ACM International Conference on Web Intelligence (WI'05).

[11]  Yong Se Kim,et al.  Learning Styles Diagnosis Based on User Interface Behaviors for the Customization of Learning Interfaces in an Intelligent Tutoring System , 2006, Intelligent Tutoring Systems.

[12]  Carlo Strapparava,et al.  Adaptive Hypermedia and Adaptive Web-Based Systems, 5th International Conference, AH 2008, Hannover, Germany, July 29 - August 1, 2008. Proceedings , 2008, AH.

[13]  Hye-Jin Kim.  U-Learning Scheme : A New Web-based Educational Technology , 2011 .