Adaptation Rules Relating Learning Styles Research and Learning Objects Meta-data

This paper investigates the development of adaptation rules which relate individual learning styles characteristics to learning objects characteristics, as the latter are reflected in the IMS Learning Resource Meta-Data Specification. The paper outlines the most well-known learning styles theories and models, some criteria for selecting among them, as well as a number of adaptive web-based learning environments which are utilising learning styles research for facilitating personalised learning. The paper concludes with the set of adaptation rules which are used in the KOD learning environment, which aims to facilitate individualised access to learning material in a re- usable way.

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

[2]  Peter Brusilovsky,et al.  User modeling and user adapted interaction , 2001 .

[3]  Martin Graff,et al.  Assessing learning from hypertext: An individual differences perspective , 2003 .

[4]  R. Riding,et al.  Cognitive Styles—an overview and integration , 1991 .

[5]  C. Claxton,et al.  Learning Styles: Implications for Improving Educational Practices. ASHE-ERIC Higher Education Report No. 4, 1987. , 1987 .

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

[7]  Charles M. Reigeluth,et al.  The elaboration theory: Guidance for scope and sequence decisions. , 1999 .

[8]  Peter Brusilovsky,et al.  Adaptive and Intelligent Technologies for Web-based Eduction , 1999, Künstliche Intell..

[9]  Richard M. Felder,et al.  MATTERS OF STYLE , 2004 .

[10]  Piet Kommers,et al.  Agent-support for problem solving through concept-mapping , 2000 .

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

[12]  K. Dunn,et al.  Teaching Students Through Their Individual Learning Styles: A Practical Approach , 1978 .

[13]  Peter Brusilovsky,et al.  Adaptive Hypermedia , 2001, User Modeling and User-Adapted Interaction.

[14]  Demetrios G. Sampson,et al.  An Architecture for Web-based e-Learning Promoting Re-usable Adaptive Educational e-Content , 2002, J. Educ. Technol. Soc..

[15]  Christian Wolf,et al.  iWeaver: Towards an Interactive Web-Based Adaptive Learning Environment to Address Individual Learning Styles , 2002 .

[16]  I. B. Myers Manual: A Guide to the Development and Use of the Myers-Briggs Type Indicator , 1985 .

[17]  Demetrios G. Sampson,et al.  Personalised Learning: Educational, Technological and Standardisation Perspective , 2002 .

[18]  Kenneth Dunn,et al.  The Complete Guide to the Learning Styles Inservice System , 1998 .

[19]  Bernice McCarthy,et al.  A Tale of Four Learners: 4MAT's Learning Styles. , 1997 .

[20]  Waynne B. James,et al.  Learning styles: Implications for distance learning , 1995 .

[21]  Bernice McCarthy,et al.  The 4mat System: Teaching to Learning Styles with Right-Left Mode Techniques , 1980 .

[22]  Adamantios Koumpis,et al.  Decision making in intelligent user interfaces , 1997, IUI '97.

[23]  Demetrios G. Sampson,et al.  Integrating Adaptive Educational Content into Different Courses and Curricula , 2001, J. Educ. Technol. Soc..

[24]  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.

[25]  R. Riding,et al.  Cognitive Styles and Learning Strategies , 2013 .

[26]  H. Jones,et al.  Frames of Mind , 1969, Mental Health.

[27]  D. Kolb Experiential Learning: Experience as the Source of Learning and Development , 1983 .

[28]  James W. Keefe,et al.  Developing a Defensible Learning Style Paradigm. , 1990 .

[29]  H. Gardner,et al.  Frames of Mind: The Theory of Multiple Intelligences , 1983 .

[30]  Peter Brusilovsky Künstliche Intelligenz Adaptive and Intelligent Technologies for Web-based Education , 1999 .

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