Towards a Unified Learning Style Model in Adaptive Educational Systems

Accommodating learning styles in adaptive educational systems represents an important step towards providing individualized instruction. The paper summarizes the main results reported in the literature, as well as the main criticisms of the current approaches. Thus, most of the adaptive educational systems to date are based on a single learning style model and the diagnosis is done explicitly, by means of a psychological questionnaire. The lack of an integrative, comprehensive learning style model and the questionable validity and reliability of the measuring instruments are two important problems of this approach. In this context, we advocate the use of a unified learning style model, which exhibits the following properties: i) it integrates the most relevant characteristics from several models in the literature; ii) it includes e-learning specific aspects (technology related preferences); iii) it is stored as a set of learning characteristics, not as a stereotyping model. Moreover, the student diagnosis is to be done implicitly, based on analyzing her/his interactions with the system.

[1]  H. Gardner Multiple intelligences : the theory in practice , 1993 .

[2]  K. Ecclestone,et al.  Learning styles and pedagogy in post-16 learning , 2004 .

[3]  Brendan Tangney,et al.  Adapting to intelligence profile in an adaptive educational system , 2006, Interact. Comput..

[4]  Peter Brusilovsky,et al.  Towards User Modeling Meta-ontology , 2005, User Modeling.

[5]  J. Biggs Student Approaches to Learning and Studying , 1987 .

[6]  S. A. Karp,et al.  Psychological Differentiation: Studies of Development , 1963 .

[7]  Curtis A. Carver,et al.  Enhancing student learning through hypermedia courseware and incorporation of student learning styles , 1999 .

[8]  W. Hall,et al.  Incorporating learning styles in hypermedia environment: Empirical evaluation , 2003 .

[9]  L. Curry An Organization of Learning Styles Theory and Constructs. , 1983 .

[10]  F. Coffield Learning styles and pedagogy in post-16 learning: a systematic and critical review , 2004 .

[11]  S. A. Karp,et al.  Differentiation: Studies of development. , 1962 .

[12]  W. Lynch Multiple Intelligences: Howard Gardner (New York: Basic Books, 1993) , 1995 .

[13]  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.

[14]  Maxwell J. Roberts,et al.  Understanding strategy selection , 2001, Int. J. Hum. Comput. Stud..

[15]  Andreas S. Pomportsis,et al.  The design and the formative evaluation of an adaptive educational system based on cognitive styles , 2003, Comput. Educ..

[16]  C. Badica,et al.  Evaluation of a Learning Management System for Adaptivity Purposes , 2007, 2007 International Multi-Conference on Computing in the Global Information Technology (ICCGI'07).

[17]  R. Felder,et al.  Learning and Teaching Styles in Engineering Education. , 1988 .

[18]  Maria Samarakou,et al.  Monitoring students' actions and using teachers' expertise in implementing and evaluating the neural network-based fuzzy diagnostic model , 2007, Expert Syst. Appl..

[19]  Peter Brusilovsky,et al.  Adaptive Navigation Support: From Adaptive Hypermedia to the Adaptive Web and Beyond , 2004, PsychNology J..

[20]  George D. Magoulas,et al.  Personalizing the Interaction in a Web-based Educational Hypermedia System: the case of INSPIRE , 2003, User Modeling and User-Adapted Interaction.