Data Literacy Cube: Global Atmospheric Temperature Anomaly Data
Use the Data Literacy Cubes 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 data, whether the data originates from students' investigations with personally-collected data or data that they have accessed/downloaded. This activity requires a data tables for students to evaluate.
For the purposes of this lesson, students will analyze Global Atmospheric Temperature Anomaly Data.
- Summarize the data
- Research how the data was collected
- Identify the geographic area and time range the data represent
- Assess the data values and their characteristics
- Analyze data values using statistics
- Develop research questions using the data
- What are key features of these data?
- Where do the data come from?
- What do these data represent?
- What patterns exist in these data?
- Data Cube
- Differentiated Question Sheets
- *Dataset: Global Atmospheric Temperature Anomaly Data
*MND offers a variety of Earth System data. To access and download tabulated data, visit the MND Data Visualization Tool, Earth System Data Explorer.
- Standalone Lesson (no technology required)
- Internet Required
For more information about the procedures for accessing MND data on the Earth System Data Explorer, visit our YouTube page and watch the tutorials.
- Distribute one Data Cube per group, as well as the differentiated question sheets, along with the data table.
- Students roll the cube and find the matching question on the Data Cube Question sheets.
- Answer one question found under matching question on a sheet of paper, labeling the question with the number and letter of the question.
- Repeat Steps 2-4 until at least 10 are answered.