H2 is a project to assist in rural science education using advanced information technology methods to provide a high-quality, curriculum-compliant, immersive learning environment for teaching astronomy. It is the first in a planned series of Learning-as-a-Service projects proposed by ComputeSpace.

H2 is meant to address the problems inherent in teaching technical subjects in more geographically-isolated environments and attempting to ensure sufficient geographical diversity in the scientific community.

Working together with government and industry initiatives to continue the buildout of broadband Internet service throughout the rural United States, H2 will be able to provide a rich interactive online learning experience which is meant as an adjunct to the fundamental classroom instruction.

The project includes a number of tools to assist the instructor in providing up-to-date content, shaping the overall content according to a specific lesson plan, and provides dense analytical tools for drilling down into student and class performance and measurement of information acquisition and retainment.

Unlike textbook-based learning, H2 remains constantly up-to-date with current information in the professional astronomy community. We think this is critical as we are in a “golden age” of astronomy with new instruments and techniques providing new information in this field on a daily basis.

Providing this service in a seamless experience for both teachers and students is a challenge requiring the unique capabilities of an advanced computational science group such as ComputeSpace. For example, to provide the most current astronomical information in the lesson materials we developed a method to monitor 40-plus astronomical databases at major institutions including NASA, the National Radio Astronomy Observatory, the University of California, the National Optical Astronomy Observatory, and many others.

In order to collect and evaluate this data for integration into state curricula and local lesson plans we have developed specialized storage and encoding techniques as well as a custom AI to convert the data into accessible grade-appropriate lessons all which can be delivered via an intuitive web-based interface.

We expect to begin testing during the summer of 2017. We invite you to join us and make a real difference in the quality of rural science education. For inquiries contact: h2_administrator@computespace.net.

Courtleigh D. Cannick

California Science Center, Griffith Observatory, UC Berkeley Space Sciences Laboratory

Robert C. Bankay

Imperial College, Unisys, UC Berkeley Space Sciences Laboratory

Natalia T. Houston

District of Columbia Public Schools

Werner O. Cruz

CA Technologies

Dr. Kevin Douglas

University of Exeter, UC Berkeley Space Sciences Laboratory