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Learn about instructional
Climber
methods that work with entry-level geoscience students. This site is designed for faculty and graduate students teaching undergraduate entry-level geoscience, environmental science, or related courses. Each section describes a teaching method, why/when it is useful, how it can be implemented, and a set of examples spanning the Earth system that can be used in your class.
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or browse by topic: Atmosphere, Biosphere, Climate, Earth Cycles, Evolution, Geography, Human Dimensions, Hydrology, Oceans, Solar System and Astronomy, Solid Earth, Surface Processes, Time/Earth History



News
Announcing the 2016 Early Career Geoscience Faculty Workshop: Teaching, Research, and Managing Your Career
Posted: Jan 11 2016
Are you in your first three years of a permanent academic position? Apply to join us for a multi-day workshop where you will participate in sessions on topics including effective teaching strategies, course design, establishing a research program in a new setting, working with research students, balancing professional and personal responsibilities, and time management. Date: July 24-28, 2016 with optional trip to NSF on July 29. Location: University of Maryland, College Park. Application deadline: March 16, 2016
Earth Educators' Rendezvous 2016 Registration is Now Open
Posted: Jan 15 2016
We are excited to announce that the meeting registration is now open and the topics for morning workshops and afternoon events are finalized. In addition to workshops, the Rendezvous will include oral and poster sessions, teaching demonstrations and a pre-workshop field trip. Join us in Madison this summer!
Teaching Landform Evolution with WILSIM-GC
Posted: Dec 16 2015
The WILSIM project has developed a collection of teaching activities that explore the evolution of the Grand Canyon, and how the shape of the canyon is affected by a variety of physical factors, via the landscape simulation model WILSIM-GC. These activities range from step-by-step guided inquiry activities through open-ended exploration of the interactions of model parameters.
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