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Complexity - Complex Systems Theory
Complex systems present problems both in mathematical modelling and philosophical foundations. The study of complex systems represents a new approach to science that investigates how relationships between parts give rise to the collective behaviors of a system and how the system interacts and forms relationships with its environment. The equations from which models of complex systems are developed generally derive from statistical physics, information theory and non-linear dynamics, and represent organized but unpredictable behaviors of natural systems that are considered fundamentally complex. wikipedia (en)
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An alternative use of the NetLogo modeling environment, where the student thinks and acts like an Agent, in order to teach concepts of Ecology

The Multi Agent Based programming, modeling and simulation environment of NetLogo has been used extensively during the last fifteen years for educational among other purposes. The learning subject, upon interacting with the Users Interface of NetLogo, can easily study properties of the simulated natural systems, as well as observe the latters response, when altering their parameters. In this research, NetLogo was used under the perspective that the learning subject (student or prospective teacher)interacts with the model in a deeper way, obtaining the role of an agent. This is not achieved by obliging the learner to program (write NetLogo code) but by interviewing them, together with applying the choices that they make on the model. The scheme was carried out, as part of a broader research, with interviews, and web page like interface menu selections, in a sample of 17 University students in Athens (prospective Primary School teachers) and the results were judged as encouraging. At a further stage, the computers were set as a network, where all the agents performed together. In this way the learners could watch onscreen the overall outcome of their choices and actions on the modeled ecosystem. This seems to open a new, small, area of research in NetLogo educational applications.

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Chaos Theory and the Sciences of Complexity: Foundations for Transforming Education - Charles M. Reigeluth

This is from 2004 but still work reading, as it is well in advance of what most people today are still saying about learning. But it is relevant to the theories of learning networks and connectivism. Among other things, it discusses:

network health - "For a system to be healthy, it must co-evolve with its environment: it changes in response to changes in its environment, and its environment changes in response to its changes"learning theories - "Co-evolution is fostered by disequilibrium and positive feedback" (ie., Boltzmann mechanisms and back propagation)openness - "open systems maintain a state of non-equilibrium… They participate in an open exchange with their world"content - "Transformation is strongly influenced by 'strange attractors'... In educational systems, they can be considered 'core ideas' and values or beliefs"self-organization - "require two major characteristics: openness and self-reference [and] Because it partners with its environment, the system develops increasing autonomy from the environment [and] the more freedom in self-organization, the more order"from Stephen Downes blog
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▶ Seven Complex Lessons in Education - Edgar Morin - Interview - YouTube

Dr. Edgar Morin, an eminent sociologist and philosopher, discusses his work on Seven Complex Lessons in Education for the Future, addressing themes related to knowledge, identity and shared global challenges.


Via jean lievens, Dina Gálvez
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Corina Ciechanow's curator insight, February 14, 2014 4:45 AM

'Il faut enseigner à la bienveillance' Teaching people how to show kindness, see all aspects of others to understand them. Great interview!