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Metacognition

Questions we don't think to ask


Posted: Dec 1 2011 by Kim Kastens
Topics: Metacognition, Perception/Observation

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

Faculty Professional Development by means of Case Based Reasoning


Posted: Nov 22 2011 by Kim Kastens
Topics: Collaboration, Community, Metacognition

photo from SERC Workshop
Small group discussion at SERC Complex Earth sysetms workshop
I've now been to five workshops in the "On the Cutting Edge" series of professional development workshops for college geoscience faculty (this one, and this, and this, and this, and this). I've been amazed and somewhat bemused at how well they work. People show up, they contribute genuinely good teaching ideas, they ask seriously probing questions of the expert speakers, new ideas get generated through small group discussion, and then people go home and actually make use of ideas from the workshop in their teaching practice. I'm not the only person who really likes these workshops: as of about a year and half ago, 1400 geoscience faculty from more than 450 geoscience departments had participated in Cutting Edge workshops (Manduca, et al, 2010).

In contrast, many of my colleagues concerned with the quality of science education in other disciplines moan and groan about how hard it is to get college faculty to pay attention to research on learning or to change their teaching practice. So how--by what mechanism--does the Cutting Edge approach work? Here's an idea. More

But should we call them "lies"?


Posted: Nov 16 2011 by Kim Kastens
Topics: Metacognition, Interpretation/Inference
Two interesting things have transpired since my previous blog post, "Telling Lies to Children."

First, Dana discovered a fabulous cartoon, the exactly speaks to the topic of the post. Wonderously, the cartoon is published under a creative commons license, so I can reproduce it here for you: More

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"Telling Lies to Children"


Posted: Oct 26 2011 by Kim Kastens & Dana Chayes
Topics: Metacognition, Interpretation/Inference

(Co-author Dana is Kim's 15-old daughter, a veteran of the New York State Earth Science Regents course, now taking integrated biology and chemistry. She is also an avid reader, currently working her way through the 42 Discworld books of Sir Terry Pratchett.)

Book cover:  Science of Discworld In The Science of Discworld, Terry Pratchett, Ian Stewart & Jack Cohen make the case that education necessarily involves telling "lies to children." We realize that telling lies to children is a pretty common part of traditional parenting (Santa Claus, stork, etc.), but in school! in the citadel of learning and truth! How can this be? More

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Learning to Learn from Data


Posted: Feb 15 2011 by

Kim Kastens

Topics: Spatial Thinking, Temporal Thinking, Interpretation/Inference, Field-Based Learning, Quantitative Thinking, Metacognition, Data

Scientists learn from data. Learning to learn from data is obviously an essential aspect of the education of a future scientist.

These days, however, many other kinds of people also learn from data--including business people, investors, education leaders, and people who care about pollution, disease, or the quality of their local schools. My daily newspaper is rich in data-based graphs and maps--and so is the newsletter from my local library. These days, learning to learn from data is a necessary part of everyone's education.

However, learning to learn from data is not a typical part of everyone's education. This post explores what might be required to construct a thorough learning progression for learning from Earth Science data, beginning where a good elementary school leaves off and carrying on through to what an upper level college course or adult job might demand. More

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