Outcomes are not predictable in complex adaptive systems
Posted Oktober 23, 2012on:
Week 7 in the Openness in Education MOOC starts with
Complex adaptive systems (CAS) are a significant shift in thinking. Instead of seeing the world as a mechanistic structure that produces set outcomes, CAS states that multiple interacting elements respond continually to feedback from each other and the environment. As such, it is difficult to predict outcomes. This limitation suggests that since outcomes are not always knowable, our attention is best served when directed at the elements interacting and the nature of their interactions.
This introductory text reminds me of yesterday’s discussion of the blog post „Why #CFHE12 is not a MOOC!„. Allyn reflects his own learning in the context of MOOCs and asks if the term „course“ should be used for a MOOC. He writes:
Courses are required not only provide the general course information but also information on the objectives (goals), learning outcomes, learning activities, resources and assessment.
… the absence of the framework for learning that is normally associated with a course does [in my experience] negatively impact learning.
In the following comment I agree with Allyn that our understanding of „courses“ is different from what is happening in MOOCs. And I ask if we should rethink „learning outcomes“ as well.
So what? If we – as teachers – cannot define learning outcomes anymore, what is our role in the learning process? In the context of emergent learning students and lifelong learners learn the unexpected, in connectivism they choose their own learning path AND now in complex adaptive systems the outcome is open.
I’m very curios how these trends will further develop. I like it because I believe in self-responsibility of learners.