Adaptation of Intelligent Knowledge Assessment System Based on Learner’s Model

The Department of Systems Theory and Design of the Faculty of Computer Science and Information Technology of Riga Technical University has been developing the concept map based intelligent knowledge assessment system IKAS already for five years. The paper gives the outline of adaptation mechanism which is under the development and will be integrated with IKAS. The adaptation mechanism is based on learners’ psychological characteristics. Learning styles have been chosen as the most widely used psychological characteristic. Several models of learning styles are overviewed and the Felder-Silverman model has been chosen as the most appropriate for IKAS. For explanation why more flexible adaptation mechanism is needed in IKAS its architecture and functionality is presented. The conception of the design of adaptation mechanism which will be implemented in a user modeling shell AGENT-UM is described.

[1]  Alla Anohina-Naumeca,et al.  Deciding on the architecture of the concept map based knowledge assessment system , 2008, CompSysTech.

[2]  Tatiana Gavrilova,et al.  Learner-Model Approach to Multi-agent Intelligent Distance Learning System for Program Testing , 1999, IEA/AIE.

[3]  Е. Е. Буль.  Обзор моделей студента для компьютерных систем обучения , 2003 .

[4]  Carla Limongelli,et al.  Lecomps5: A Web-Based Learning System For Course Personalization And Adaptation , 2008, e-Learning.

[5]  Yuliang Liu,et al.  Cognitive Styles and Distance Education. , 1999 .

[6]  Susan M. Montgomery.  Addressing diverse learning styles through the use of multimedia , 1995, Proceedings Frontiers in Education 1995 25th Annual Conference. Engineering Education for the 21st Century.

[7]  Juan E. Gilbert,et al.  Adapting instruction in search of 'a significant difference' , 1999, J. Netw. Comput. Appl..

[8]  Vicent Farrell,et al.  Educational software that supports the majority learning style , 2008 .

[9]  Janis Grundspenkis,et al.  Development Of Concept Map Based Adaptive Knowledge Assessment System , 2008, e-Learning.

[10]  Alla Anohina-Naumeca,et al.  A Concept Map Based Intelligent System for Adaptive Knowledge Assessment , 2006, DB&IS.

[11]  Sabine Graf,et al.  REPRESENTATIVE CHARACTERISTICS OF FELDER-SILVERMAN LEARNING STYLES : AN EMPIRICAL MODEL * , 2006 .

[12]  Alexandra I. Cristea,et al.  Adaptation to learning styles in E-Learning: Approach evaluation , 2006 .

[13]  Glenn D. Blank,et al.  Individualizing Tutoring with Learning Style Based Feedback , 2008, Intelligent Tutoring Systems.

[14]  Romans Lukashenko,et al.  Architecture and Working Principles of the Concept Map Based Knowledge Assessment System , 2008 .

[15]  Cem Kaner,et al.  Learning Styles and Exploratory Testing , 2003 .

[16]  R. Felder,et al.  Understanding Student Differences , 2005 .

[17]  Jānis Grundspeņķis,et al.  A Conception of Agents-Based User Modeling Shell for Intelligent Knowledge Assessment System , 2009 .

[18]  Valerie J. Shute,et al.  SMART: Student modeling approach for responsive tutoring , 1995, User Modeling and User-Adapted Interaction.

[19]  Joe Wilson.  Embedding Learning Technologies into Institutional Practices: A Further Education Perspective , 2003 .

[20]  Demetrios G. Sampson,et al.  Adaptation Rules Relating Learning Styles Research and Learning Objects Meta-data , 2004 .