Our Data Literacy Cube Page (and supporting resources) have been updated!  The new resources include only 1 cube for all three (maps, graphs, and data) Question Sets, Lexile levels, and addresses WIDA standards for multilingual learners!

Are you searching for resources to use with your students related to Science and Engineering Practices?  Review these graphics that will help to hone students' attention to the specific practices in science and how they relate to investigating, sense-making, and critiquing of data.

In Earth System Science, underling factors affecting observable phenomena can be difficult to identify and describe.  The Iceberg Diagram diagram uses the metaphor of an iceberg to demonstrate the idea of visible vs hidden as it relates to Earth science phenomena.  This teaching strategy helps students to see beyond the obvious and to develop their awareness of the underlying causes, relationships, and/or conditions that can contribute to phenomenological events. It also provides a framework for digging deeper into phenomena-driven lessons in Earth Science.

Use the Data Literacy Cube to guide students’ exploration of mapped data of the Earth System to enrich their observations and inferences.  This is a flexible resource that may be used with a variety of mapped images.  This activity requires a map of Earth data for students to evalu

Use the Data Literacy Cube to guide students’ exploration of data to enrich their observations and inferences.  This is a flexible resource that may be used with a variety of graphical representations of data.  This activity requires a graph for students to evaluate.   Fo

Students observe seasonal images of Monthly Leaf Area, looking for any changes that are occurring throughout the year.

Conduct this modified EO Kids mini-lesson with your students to explore the phenomenon of Urban Heat Island Effect.

Students can interact with NASA data to build a custom visualizations of local, regional, or global plant growth patterns over time, using the Earth System Data Explorer to generate plots of satellite data as they develop models of this phenomenon.

Students explore the spatial patterns observed in meteorological data and learn how this information is used to predict weather and understand climate behavior.