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I've recently been digging into the writings of George Mobus on the subject of "Sapience." Mobus begins by asking himself and his readers "If we are such a clever species, why is the world the way it is, and heading in such a bad direction?"
His answer is that most humans, even very intelligent and clever ones, have too little "sapience."
"Sapience" is Mobus' term for a human attribute that is a combination of judgement (based on life experiences), moral sense (primarily altruism, thinking about the welfare of the group as well as of yourself), taking a long view of the future (strategic perspective), and systems perspective. He thinks that sapience is present in all humans, but very unevenly distributed with a few people having a lot and most people having little. More
I've been thinking a lot recently about how scientists and students make meaning from data, spurred in part by the Earth Cube education end-users workshop. Among other things, I've been trying to understand what kinds of deeply foundational understandings might be constructed by young children through unstructured observation using the human senses, and then later re-purposed as they begin to work with data.
Here is one candidate: Future data users need to understand that:
Recently my "Teaching & Learning Concepts In Earth Sciences" students and I renovated one of my old data-using lab activities, from the days when I used to teach "Planet Earth" to non-science majors. The old version of the activity led students step-by-step through a series of manipulations of an on-line global data base, using a professional data visualization tool. The old directions provided a lot of scaffolding for how to make data displays of ocean salinity in and around the Mediterranean Sea, but little support for how to extract insights about earth processes from those displays. The new version assumes that students are already pretty adept at getting computer apps to do what they want, and refocuses the scaffolding on how to think like a geoscientist, how to think about the meaning of the data. More
Two years ago in this space, I wrote about "Turning Nature into Numbers," humanity's accomplishment of developing instruments and methodologies that can turn the fleeting qualitative impressions that we have of our surroundings into quantitative values–numbers–which can be readily stored, shared, transmitted and compared.
Numbers are great, but it seems to me that for developing an opinion or making a decision, humans often want categories rather than numbers. More
The most interesting thing I learned over Thanksgiving arrived during a pre-dinner walk along a rural Massachusetts road heavily impacted by the Halloween storm. Many tree limbs were shattered, fallen to the ground or dangling from their parent trees. My cousin's daughter's friend Mike pointed out that the broken limbs still had their leaves, browned and stiff but still connected, while the healthy trees had lost all their leaves. The rest of us looked more carefully, and sure enough, his observation was correct, tree after tree. More