Rigorously Implement the Practice of Science in Your Classroom

Integrate data across your instruction

  • Enable students to ask questions, explore scientific data, and reason as scientists and engineers using data.


    Integrate science and engineering practices and crosscutting concepts with science content to effectively support three dimensional science learning.


    Engage students in doing science, exploring data, and applying their knowledge to deepen their understanding of core ideas in science.

Inquiry-Based Activities to Address Core Ideas Across Physical, Life, and Earth Science Disciplines

Explore some examples of how to use data in your content teaching

  • Analyze and interpret wildlife population data to support explanations about factors affecting changes in biodiversity and ecosystem relationships.

  • Model, predict, and explain relationships between components of Earth’s systems through data.

  • Ask questions of the data to clarify evidence of factors that have caused the rise in global temperatures.

  • Ask questions of the data to determine the factors that affect the strength of electric and magnetic forces.

  • Analyze and interpret experimental data from different trials to infer differences in how human sensory receptors respond to stimuli under different conditions like texting while driving.

  • Explore patterns in how carbon dioxide in Earth’s atmosphere is changing, and interpret evidence for how carbon cycles between the atmosphere and biosphere.

Integrate Tuva Datasets and Activities
into your 5E Instructional Units

Data can be used within each of the phases over the year, click here to explore more

  • Engage with prior knowledge.

    Why Engage with Data? - Real-world datasets spark interest and engage students to wonder about the processes and phenomena around them.

  • Explore key concepts.

    Why Explore with Data? - Real-world datasets provide a relevant context to the concept being explored. The material matters more than just something a teacher has assigned.

  • Explain new understandings and connections.

    Why Explain with Data? - Students can connect their prior knowledge to real-world data as they make sense of the concept. New discoveries from the data are empowering and have a larger impact on their retention of the material.

  • Elaborate/Extend learning to a new or similar situation.

    Why Elaborate with Data? - Using data, students can ask and explore related questions about a concept through similar datasets to deepen their understanding of science processes and phenomena.

  • Evaluate progress towards understanding.

    Why Evaluate with Data? - Students can ask: Is my understanding supported by the data? Teachers can ask: To what extent are my students learning from and engaging with the data?

Tuva Activities Blend Disciplinary Content, Practices, and Concepts from NGSS and CCSS-M

  • With Tuva, students can learn to

    • Ask questions about evidence
    • Choose how to visualize data among a variety of graph types, based on the question asked.
    • Visualize and describe relationships between factors.
    • Turn qualitative descriptions of phenomena into quantitative statements
    • Apply quantitative tools in a scientific context
    • Reason about evidence in terms of statistical concepts such as variability and certainty
    • Use statistical thinking when analyzing data
    • Model and describe relationships using algebraic expressions
    • Make viable arguments that are supported with quantitative reasoning
    • Describe mathematically how a phenomenon changes through time
    • Describe and interpret variability in a population or sample

Get Started for FREE with 15 Tuva Datasets & Lessons OR Learn More About Tuva Premium