Representing Adaptive and Adaptable Units of Learning

In this chapter we examine how to represent adaptive and adaptable Units of Learning with IMS Learning Design in order to promote automation and interoperability. Based on a literature study, a distinction is drawn between eight types of adaptation that can be classified in three groups: a) the main group, with interfaced-base, learning-flow and content-base; b) interactive problem solving support, adaptive information filtering, adaptive user grouping; and c) adaptive evaluation and changes on-the-fly. Several sources of information are used in adaptation: user, teacher and set of rules. In this paper, we focus on the core group a). Taking the various possible inputs to an eLearning process, we analyze how to model personalized learning scenarios related to these inputs explaining how these can be represented in IMS Learning Design.

[1]  S. Kozlowski,et al.  Adaptive Guidance: Enhancing Self-Regulation, Knowledge, and Performance in Technology-Based Training , 2002 .

[2]  Agathe Merceron,et al.  A Web-Based Tutoring Tool with Mining Facilities to Improve Learning and Teaching , 2003 .

[3]  Christian Gütl,et al.  Enhancement of SCORM to support adaptive E-Learning within the Scope of the Research Project AdeLE , 2004 .

[4]  Ted Tschang,et al.  Access to Knowledge: New Information Technologies and the Emergence of the Virtual University , 2000 .

[5]  Otman A. Basir,et al.  Adaptive User Interfaces for Intelligent E-Learning: Issues and Trends , 2004, ICEB.

[6]  Peter van Rosmalen,et al.  Authoring a full life cycle model in standards-based, adaptive e-learning , 2006, J. Educ. Technol. Soc..

[7]  Colin Tattersall,et al.  Representing adaptive eLearning strategies in IMS Learning Design , 2006 .

[8]  David N. Chin.  Empirical Evaluation of User Models and User-Adapted Systems , 2001, User Modeling and User-Adapted Interaction.

[9]  George D. Magoulas,et al.  Adaptable and Adaptive Hypermedia Systems , 2005 .

[10]  Lora Aroyo,et al.  Adaptive Web-Based Educational Hypermedia , 2004, Web Dynamics.

[11]  R. Snow.  Aptitude, learner control, and adaptive instruction , 1980 .

[12]  Alexandra I. Cristea.  Editorial: Authoring of Adaptive Hypermedia , 2005, J. Educ. Technol. Soc..

[13]  Christian Gütl,et al.  The Past, the Present and the Future of adaptive E-Learning , 2004 .

[14]  Barbara Wasson,et al.  Advanced educational technologies: The learning environment , 1997 .

[15]  Ok-Choon Park,et al.  Adaptive Instructional Systems , 2007 .

[16]  Peter Brusilovsky,et al.  Course Delivery Systems for the Virtual University , 2002 .

[17]  Rob Koper,et al.  Developing Advanced Units of LearningUsing IMS Learning Design Level B , 2005 .

[18]  R. Tennyson.  Instructional control strategies and content structure as design variables in concept acquisition using computer-based instruction. , 1980 .

[19]  Hubert Vogten,et al.  CopperCore 3.0 , 2006 .

[20]  Alexandra I. Cristea,et al.  Authoring of adaptive hypermedia , 2005 .

[21]  Jesus G. Boticario,et al.  Using Learning Design to Support Design and Runtime Adaptation , 2005 .

[22]  Christoph Peylo,et al.  W2 - Adaptive and Intelligent Web-Based Education Systems , 2003, Intelligent Tutoring Systems.

[23]  Colin Tattersall,et al.  How to create flexible runtime delivery of distance learning courses , 2005, J. Educ. Technol. Soc..

[24]  Dick Bacon.  IMS Question and Test Interoperability , 2003 .

[25]  R. Tennyson.  Use of Adaptive Information for Advisement in Learning Concepts and Rules Using Computer-assisted Instruction , 1981 .