Our Synergy team is at the halfway mark, time wise, of the semester. For the past 9 weeks we have been recording images, questions, and thoughts in our observation journals. We use a common space, a Posterous group, to communicate, collaborate, and connect ideas.
The challenge now upon us…What data mining strategies should we employ to uncover community issues that, as a team, we want to study, investigate, problem-find and problem-solve? We have over 300 posts. It seems daunting, almost overwhelming to sift through our data.
Via his talk at TEDGlobal 2010, “How complexity leads to simplicity,” Eric Berlow was our “guest expert” to help us think about and learn that “complex doesn’t always equal complicated.”
A couple of key insights that stuck with us include:
[Use] the simple power of good visualization tools to help untangle complexity to just encourage you to ask questions you didn’t think of before.
The more you step back, embrace complexity, the better chance you have of finding simple answers and it is often different than the answer that you started with.
Here is a quick trailer and then approximately 4 minutes of video from Monday’s Synergy learning experience to show one of our attempts to find simplicity on the other side of our complex task of data mining for new projects.
- If you facilitate project-based learning, how do you empower students to determine the team projects?
- What other methods would you recommend to us for putting students in “that driver’s seat?”
- How does assessment for learning change when immersed in PBL?
- How would you assess the various learning demonstrated in the video?
We would love your feedback.
[Cross-posted at Experiments in Learning by Doing]