Title: Learning Cycle vs. Science @ NASA
1Learning Cycle vs. Science _at_ NASA
- Inquiry in Science is Modeled after how science
is done - How can the business of science at NASA
contribute to science learning?
2Learning Cycle vs. Science _at_ NASA
- One model of inquiry is 5 Es (Bybee)
- Engage
- Explore
- Explain
- Elaborate
- Evaluate
35 Es Learning Cycle Model of Inquiry
Engage Capture interest Connect past and present learning experiences Anticipate learning outcomes of current activities
Explore Mental and physical observation to establish relationships, observe patterns, identify variables, and question events.
Explain Describe understanding from exploration Introduce new concepts of lesson
Elaborate Collect additional information Collaborate with other students Apply to other situations
Evaluate Compare to explanations of broader community
4- Science at NASA is
- Driven by National Priorities
- Climate Change Research (June 2001)
- Global Earth Observation (July 2003)
- Vision for Space Exploration (January 2004)
- Collaborative Oceans Research
- Extends to modeling and prediction
- Next cycle most often focused on improving the
answer to original question, at a finer degree of
resolution, using better tools.
5- NASA works with partner agencies to benchmark use
of research observations and predictions for
decision support relevant to policy and
management decisions for societal benefit.
65 Es vs Science at NASA
Education NASA
Engage Ask questions based on national priorities or from community consensus
Explore Collect data and observations using new technologies, if required
Explain Construct models to make predictions of systems behavior
Elaborate Use observations and models to design decision support tools for societal benefit
Evaluate Identify gaps and feedback to derive new questions and observations for improving predictions and decision support tools.
7 8Delivering Science to Society
9Integration of Earth System Science
Discover
Exploration Discovery
Discover new phenomena develop new insights
using innovative mission designs technologies
Earth System Science
Characterize for science decision makers
dynamic events by networking interdisciplinary
observing modeling systems
Sustain integrate the comprehensive observing
modeling systems required to serve science
societal needs
Continuous Awareness
Developing Perspectives
Inform
Understand