Affiliation:
1. University of South Florida – St. Petersburg, USA
2. Monterey Bay Aquarium Research Institute, USA
Abstract
Scientific discovery, problem-solving, and hypothesis testing requires observation, data analysis and synthesis of new knowledge. In today's world, this process is highly dependent on computer-based data exploration of high volume, high velocity, and high variety data streams (3HV) However, though the power of 3HV surpasses the amount of information gathered from more familiar lab experiences, data-intensive science has not yet achieved the same impact or prominence in public education. This chapter provides an examination of the Education And Research: Testing Hypotheses (EARTH) Science Educator Professional Development (PD) which was developed to bridge this gap, bringing data-intensive science into the classroom while supporting inquiry learning practices.