Complex Systems in Education: Conceptual Principles, Methodologies, and Implications for Research in the Learning Sciences

The symposium has two main goals: First, it would allow the contributors to the recent JLS special issue on complex systems in education to provide an overview of the issues raised in their respective papers as well as to discuss updated research of relevance. Second, it is hoped that this symposium will provide a forum for discussing the potential implications of complex systems perspectives for research in the learning sciences, and more generally for educational research, curriculum development, and educational policy and reform initiatives.

[1]  U. Wilensky,et al.  Thinking Like a Wolf, a Sheep, or a Firefly: Learning Biology Through Constructing and Testing Computational Theories—An Embodied Modeling Approach , 2006 .

[2]  Nora H. Sabelli,et al.  Complexity, Technology, Science, and Education , 2006 .

[3]  U. Wilensky,et al.  Complex Systems in Education: Scientific and Educational Importance and Implications for the Learning Sciences , 2006 .

[4]  R. Azevedo.  Using Hypermedia as a Metacognitive Tool for Enhancing Student Learning? The Role of Self-Regulated Learning , 2005 .

[5]  Joseph Krajcik,et al.  A Framework for Supporting Metacognitive Aspects of Online Inquiry Through Software-Based Scaffolding , 2005 .

[6]  Roger Azevedo,et al.  Does adaptive scaffolding facilitate students ability to regulate their learning with hypermedia? q , 2004 .

[7]  Robert L. Goldstone,et al.  The transfer of abstract principles governing complex adaptive systems , 2003, Cognitive Psychology.

[8]  Paul J. Feltovich,et al.  Learners' (mis)understanding of important and difficult concepts: a challenge to smart machines in education , 2001 .

[9]  Paul J. Feltovich,et al.  Smart machines in education: the coming revolution in educational technology , 2001 .

[10]  N. Hari Narayanan,et al.  On designing comprehensible interactive hypermedia manuals , 1998, Int. J. Hum. Comput. Stud..

[11]  Cindy E. Hmelo-Silver,et al.  Comparing expert and novice understanding of a complex system from the perspective of structures, behaviors, and functions , 2004, Cogn. Sci..

[12]  MICHAEL J. JACOBSON,et al.  Problem solving, cognition, and complex systems: Differences between experts and novices , 2001, Complex..

[13]  M. Resnick,et al.  Thinking in Levels: A Dynamic Systems Approach to Making Sense of the World , 1999 .

[14]  Uri Wilensky,et al.  GasLab—an Extensible Modeling Toolkit for Exploring Micro- and Macro- Views of Gases , 1999 .