Our Data Literacy Resources
We believe strongly in creating an open and inclusive approach to teaching with data. We seek to develop and share resources to increase confidence and competence in a range of areas.
Below are some of our most commonly used and/or requested resources. As a reminder, our materials are licensed under a Creative Commons Attribution 4.0 International License.
GRAPH TYPE MATRIX WITH QUESTIONS & DESCRIBING WORDS
Often times our learners are taught how to make different graph types, but are not taught why or when to use different graph types. This creates challenges as what graph type we use is completely dependent on the question we are asking and the kinds of data that we have.
We have developed a range of materials to use to help students to know where to start in selecting and reviewing graph types.
To review and use the different Graph Type Matrix resources, click here
PROGRESSING DATA SKILLS K-12
The Building Blocks for Data Literacy Table is designed as a reference and discussion-starter for teachers and other educators as we all explore how to engage K-12 students with data. It is a draft — an ongoing work in progress that will evolve with input from readers.
To learn more and access the resources, click here.
DEVELOPING CER CAPABILITY FRAMEWORK
Developing claims from data is different than from prose. We have developed a framework to think about key components that users need to integrate (Content, Visuals, and Data) to arrive at a Claim. Additionally we think through what are the cognitive steps that we take as we integrate these different components, and thus what are questions we can use to scaffold our learners ability to do this themselves.
Call explore the CER Capability Framework, click here.
Specific Data Skills Resources…
In addition, we provide focused resources on the following aspects of working with data:
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assessing your learners data skills and areas for improvement
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developing a testable science question
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feeling confident to teach with a range of types of data
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finding authentic and relevant data to use in your classroom
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identifying your data as evidence
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interpreting data around you
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reading and understanding data visualizations
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understanding the relevance of data presented to you
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using a variety of models in teaching and learning with data
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utilizing effective storytelling with data
Other Resources to Explore…
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We write a Data Literacy 101 column for NSTA’s Science Scope Journal, view these articles on the Data Literacy 101 Articles page.
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Explore the different and similar ways that we talk about data across different disciplines (i.e., math, science, social studies)
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Data mini-lectures about various topics related to working with data, exploratory data analysis, and creating data visualizations.
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We keep a running list of data and science literacy related books that we enjoy and share in case any are of interest to you.
