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 ...
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.
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