Citizen science, data science and education: how to support teacher’s inspiration during the learning activities design with technology enhance learning

Abstract

This research will investigate the potential that Citizen Science (CS) projects data has in a formal educational context to learn. CS involves citizens in scientific research generating knowledge and scientific results. Citizens participate in CS projects conducting many activities developing skills, interest in science or scientific literacy. These projects share their information in online repositories also called CS platforms to inform citizens about the aim of the project, their advances on research or how to take part in it. Although the connection between CS and education has been explored, remains to be understood and must be made more explicit. Web scraping and data mining methods have the potential to obtain CS projects data available online and analyze it to extract conclusions. The main aim of this research is to understand how to analyze and visualize CS data in a technology enhanced learning (TEL) tool to support educators during the learning design of educational activities. It is also intended to improve scientific knowledge and to bring official science closer to educational environments.