Refine the Results↓

Topics Show all


Current Search Limits:
Perception/Observation

Pitfalls of Metaphors: Does Warm Air Hold More Water?


Posted: Jan 15 2015 by Glenn Dolphin & Kim Kastens
Topics: Perception/Observation, Interpretation/Inference, Metacognition

Preface

The following is a guest post by Glenn Dolphin (aka "Flipper"), of the University of Calgary Department of Geosciences.

This discussion first appeared in the ESPRIT list server, a lively forum for discussion of earth science teaching, mostly at the secondary school level. When Flipper's ideas below came forth, there had been an extensive multi-person, multi-day discussion of whether it was useful or misleading to tell students, during their study of weather and climate, that "warm air holds more water vapor than cold air." Although this and synonymous statements are common in popular science treatments (for example, here), this form of explanation has been roundly criticized in other expositions for the public (for example, here and here).

A point of view held by several teachers could be summarized by one who wrote: "As I see it, declaring that air 'holds' water isn't nearly as awful as it's made out to be." I was reminded of my blog post and followup comments about Telling Lies to Children, asking where is the borderline between a pedagogically valuable simplification and a lie. Air "holding" water is not literally true; it is a metaphor in which air is compared to a container with a limited holding capacity. Metaphors can be valuable tools for helping the human mind come to grips with (another metaphor) an unfamiliar concept. But they also have pitfalls, as explored in the guest post below.

-----Kim Kastens--Earth & Mind co-editor

Guest blog post

In my research, I am looking at the metaphors we (experts, for the most part) use in science and their effect on how students (novices) understand them. We use many metaphors (selfish gene, black hole, big bang, electron cloud, tectonic plate). As experts, we may very well be able to use "hold" if we have a good physical understanding for the air/water system. However, people who don't, like our novice students, will generate meaning based on their own physical experiences of containers that hold things. This could then lead to difficulties in understanding, most likely because they will always start from this point, and not give other meanings a chance. More

Comments (2)

"What DOES poison oak look like?"


Posted: Jul 16 2012 by Kim Kastens
Topics: Field-Based Learning, Perception/Observation

The front cover of the current issue of The Economist documents the power of modern science, celebrating the finding of the Higgs boson as "a giant leap for science." But the back cover of the same issue documents the abject failure of natural history education in America. More

Comments (1)

Too Fast to Measure


Posted: Jul 10 2012 by Kim Kastens
Topics: Perception/Observation, Interpretation/Inference, Temporal Thinking

Cover of Synthesis volume I'm thrilled to report that the book that grew out of the Synthesis project, the parent project of this blog, is now out: Earth & Mind II: A Synthesis of Research on Thinking and Learning in the Geosciences, Geological Society of America Special Publication 486, edited by Cathy Manduca and myself. It's available from the Geological Society of America bookstore ( This site may be offline. )

However, having shared my thrill at holding the book in my hands, I have to admit that there are some ideas in the book that I have already outgrown during the months that the book has been in production. More

A more nuanced view of Concept-driven versus Data-driven visualizations


Posted: Mar 12 2012 by Kim Kastens
Topics: Interpretation/Inference, Data, Perception/Observation, Spatial Thinking

In several previous posts, I explored how Clark & Weibe's (2000 ) idea of data-driven versus concept-driven visualizations plays out in geosciences and how this distinction could be important as we help students learn to learn from visualizations. This semester, in my course on "Teaching & Learning Concepts in Earth Sciences," students found and documented visualizations that afford insights via spatial thinking about a topic they are working on for a semester long project. Applying the idea of data-driven versus concept-driven visualizations to this image collection surfaced several additional nuances to the categorization schema. More

Turning Nature Into Categories


Posted: Feb 13 2012 by Kim Kastens
Topics: Data, Metacognition, Interpretation/Inference, Perception/Observation

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

RSS