Project | NOAA National Geophysical Data Center |
Contact | Ted Habermann |
Ted.Habermann@noaa.gov | |
URL | |
Project description | The National Oceanographic and Atmospheric Administration (NOAA) holds one of the largest environmental data collections in the world. The NOAA Data Centers (Climatic http://www.ncdc.noaa.gov, Geophysical http://www.ngdc.noaa.gov, and Oceanographic, see http://www.nodc.noaa.gov) are a primary public interface to these data. Together their web sites support over 2,000,000 users / year. A significant portion of these users are seeking to learn something about the environment or NOAA. My project is to make it easier for them to do that. Current attempts include:
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Theoretical background | The theoretical background for our work has developed ad hoc through interactions with scientists, data providers, teachers and students. These interactions span an very exciting decade of development and include multi-platform CD-ROM's as well as numerous web based activities. We also rely heavily on modern ideas of Information Architecture and Information Design. The goal is to provide structures which help users convert raw data to information that they can use. A recent paper describes how multiple presentations of the same content can support learning from that content in many environments. I am also interested in the processes which learners use to personalize information and cultivate knowledge. We have addressed several such processes in the NGDC Presentation Creation System which is described to some degree in a recent talk. An interesting thing about these processes is that they are fundamental in both education and in scientific collaboration. The technologies we are developing blur many of the distinctions that might exist between these two areas. |
Challenges | To understand teacher's needs and to create technologies that are actually useful for teachers. |
Partnership | We are interested in developing partnerships with teachers and educational researchers that are interested in collaborating to build the foundation of tools that we have developed into homes for learning communities. We have plenty of data and we know how to use it for science. We need partners to help us understand how to use it for effective learning. |