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Interpretation/Inference

"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

Comments (3)

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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Multiple lines of reasoning in support of one claim


Posted: Nov 22 2010 by Kim Kastens
Topics: Interpretation/Inference, Data, Metacognition
One of the attributes of most K-12 classroom science inquiries is that the reasoning that leads from data to interpretation is simple and straightforward. From this experience, students develop the habit of mind of expecting that a data set in science class will lead by a single linear robust chain of reasoning to a claim or "answer," like this:

DataReasoningClaim diagram

Earth Science, in my experience, tends not to work this way. Instead, many of the most bold and important claims in Earth Science have been built from many different forms of data and observations. More

Comments (2)

Astronomers' Tricks with Light


Posted: Nov 1 2010 by Kim Kastens
Topics: Perception/Observation, Interpretation/Inference, Data
This semester I am teaching a section of Frontiers of Science, the science course in Columbia University's famous Core Curriculum. Under the auspices of the core curriculum, generation upon generation of Columbia undergraduates have studied great accomplishments of human creativity in literature, art, music and philosophy. Beginning seven years ago, the powers that be decided that science is also a great accomplishment of humanity, and added the "Frontiers" course.

This semesters' version spans four disciplines: Brain & Behavior (Neuroscience), Astronomy, Earth Science, and Biodiversity. The topics are intended to encompass material that most students would not have studied in high school, so that every student finds something interesting and challenging in the course. A side effect of this course design is that no single faculty member knows all or even most of the material. The College has tried hard to establish a supportive community of practice among the nineteen seminar leaders, and sharing ideas across disciplines has been one of the more rewarding aspects of teaching the course.

The metamessage that is supposed to be accumulating across the four topics is "Scientific Habits of Mind," how scientists think and learn. The course materials never use the term "Epistemology," but that is in large part what this course is about--how scientists know what they know. I've been using the Claims/Evidence/Reasoning mantra that I picked up from the IQWST curriculum developers to articulate the elements that students need to incorporate into a scientific explanation. I have been stunned to realize how different is the nature of evidence and reasoning in the four disciplines we are teaching. More

"...Only the Good Ones..."


Posted: Feb 9 2010 by Kim Kastens
Topics: Interpretation/Inference

Speaking of Haiti, I recently went to a fundraiser for victims of the earthquake at my local yoga studio. Because the audience was so miscellaneous, the teacher called the poses by user-friendly American nicknames rather than by the arcane Sanskrit names. And she told stories.

 

One of her stories, accompanying the "apple-picking pose," struck me as a parable, with a message for all educators.

When my nephew was very little, our extended family went apple picking. As we got ready to start picking, the boy's father told him to be sure to "...only take the good ones." We spread out in the orchard and picked until our bags were full. When we got home, we unloaded the little boy's apple picking bag-- and found that every apple had one bite taken out of it.

paraphrased from Charlene Brandin, Birchwood Center, 23jan10

The messages I heard for educators, including myself:

 

  • photo of apple with bite missing
    Kids, of whatever age, may not hear instructions the way you intended--and their interpretation isn't necessarily wrong.
     
  • "Good" is a complicated construct.
     
  • Kids can tell the difference between authentic assessment and assessment that only grazes the surface.
     
  • Authentic assessment is likely to change that which is being assessed.
     

 

 

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