By the end of this module, learners will know more about how to: describe what inquiry-based learning is and what it looks like in a secondary science classroom, articulate the need for inquiry-based learning, and plan with inquiry-based learning for sensemaking in science.

By the end of this module, learners will know more about how to: understand the nature of data and data literacy and consider applications of data literacy in secondary science education, understand how authentic data and data literacy is used to enhance inquiry-based lessons and 3-dimensional learning, evaluate the meaning of data and how data is used to answer investigation questions, and analyze authentic datasets to reveal patterns and draw conclusions.

By the end of this module, learners will know more about how to: contextualize scientific phenomena in local space/place, survey online data sources and share sources they have previously utilized, locate and learn to use online data sources in their domain of science, and create structured opportunities for their students to analyze and interpret real-world scientific data.

By the end of this module, learners will know more about how to: find online data sources and extract data, use available tools or softwares to create visualizations for their classrooms, and understand and develop a data literacy activity.

By the end of this module, learners will know more about how to: apply the 5E (Engage, Explore, Explain, Elaborate, and Evaluate) learning framework to inquiry-based learning in science, integrate data literacy practices into 5E learning framework, develop a lesson plan for use in secondary science classroom (in-person, virtual, or hybrid), share lesson in a Gallery Walk format, and explore lessons that have been developed to address data literacy goals and content goals.

By the end of this module, learners will know more about how to: realize learning goals by mapping back the work of the previous modules to the learning objectives.