Lessons Learned from Data-Rich Science Education Projects Stephen Pompea and Doug Isbell Public Affairs and Educational Outreach National Optical Astronomy.

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Presentation transcript:

Lessons Learned from Data-Rich Science Education Projects Stephen Pompea and Doug Isbell Public Affairs and Educational Outreach National Optical Astronomy Observatory Tucson, Arizona

NVO Education Meeting Baltimore July 12, 2002 Educational Projects are hard, and require specialized expertise Right approach Right resources Right project team Right tradeoffs Right testing Right dissemination Right professional development

NVO Education Meeting Baltimore July 12, 2002 Attributes of Best Projects: 1. Backwards Design

NVO Education Meeting Baltimore July 12, 2002 Attributes of Best Projects: 2. Pedagogy Inquiry or guided inquiry Responsive to National Science Education Standards Problem-based learning Multidisciplinary or complex (opposite of drill/rote) Deeper! Built in, authentic assessment

NVO Education Meeting Baltimore July 12, 2002 Attributes of Best Projects: 3. Learner Control The learner controls investigations, exploration of deep content, the research process, data and image processing, and presentations. Example: Astronomy Village

NVO Education Meeting Baltimore July 12, 2002 Attributes of Best Projects: 4. Powerful Tools

NVO Education Meeting Baltimore July 12, 2002 Attributes of Best Projects: 5. Professional Development

NVO Education Meeting Baltimore July 12, 2002 Attributes of Best Projects: 6. Diverse Project Teams Scientists Technologists Teachers More Teachers Professional Developers Media experts Testers Hybrids

NVO Education Meeting Baltimore July 12, 2002 Attributes of Best Projects: 7. Time Domain and Urgency Compelling Need to do something now Need to use tools now Need to get results Example: NASA Classroom of the Futures remote sensing project Exploring the Environment

NVO Education Meeting Baltimore July 12, 2002 Example: The Journey North

NVO Education Meeting Baltimore July 12, 2002 Example: LSST and Time Domain Data Discovery projects Role fulfilled by Large Synoptic Survey Telescope Q. What is the value of data to scientists, educators, students, and public? Is it equal? Q. Should (can) discoveries be reserved?

NVO Education Meeting Baltimore July 12, 2002 Should we focus on integrating with existing projects? Diffusion Time, Less Risk Less Cost? Remember NSF-good at starting new prototypes, but … CLEA (NSF) Hands-On Universe (NSF) Hands-On Astrophysics (NSF) Astronomy Village: Investigating the Universe (NASA) Astronomy Village: Investigating the Solar System (NSF)

NVO Education Meeting Baltimore July 12, 2002 Should we focus on data tools? NIH Image example Robust Powerful Easy to Use Progressive Extendable Intuitive For formal and informal

NVO Education Meeting Baltimore July 12, 2002 Can sonification be developed as an effective educational tool? Charles Dodge and the Earths Magnetic Field (1971) Marty Quinn (2002) Climate Symphony Mars Gamma Ray Spectrometer Data Set Test program this fall: NOAO and University of Arizonas Lunar and Planetary Lab

NVO Education Meeting Baltimore July 12, 2002 Can NVO appeal to non-astronomy teachers?

NVO Education Meeting Baltimore July 12, 2002 Can NVO education efforts build on the earth science education efforts? Snowmass Revolutionary Manifesto Digital Library for Earth System Education

NVO Education Meeting Baltimore July 12, 2002 What about planetary data?

NVO Education Meeting Baltimore July 12, 2002 Conclusion: How can an EPO effort co-evolve with the NVO effort? Both are evolving in a changing (or stable) environment Punctuated equilibrium How do we keep the advisory group going? How much money/time is needed to create a plan and to implement it?