A summary document for the datasets has been created and is available to registered teachers upon request to abrickley dot edu at gmail.com. But don't feel like you need to know the answers. Students actually love learning things their teachers don't already know! Think together!
Additional links to content or discussions or strategies will also be added periodically to support your work with students as they build their data literacy and science practice skills.
Student feedback from Level 2 and Level 3 datasets has indicated that students struggle to know where to start with their data exploration. How can we support this struggle?
Ensure students take time to read the Metadata document that accompanies every dataset or data visual provided to give them some context for the dataset including the how, when, where, why, and what.
Ask them to think about the kinds of questions they can ask based on the variables or attributes in the dataset. The wording of the question helps them focus on which data they can use in their graph and what kind of graph they might make. (Look up Graph Choice Chart or Graph Choice Matrix on the web to find additional supports for how to help them choose.)
If students need help with questions, pull from Connect with the Content of Data Jam Datasets to get them started AND to encourage variation among student groups choosing the same dataset. See example below.
The following are supplementary activities to help your students practice their graphing skills. They are designed around datasets that are similar to some of those they may select for their Data Jam projects. Each is designed to guide learners using a specified computer platform that is free and open to all. If you have questions or feedback, please contact abrickley dot edu at gmail.com.
Out of collegial respect, if you use the activities but aren't participating in Data Jam, please sign up for our Schoolyard so we may accurately report our broader impacts to the National Science Foundation.
This video series gives an overview of the dynamics of the continental shelf ecosystem, with a particular focus on the shelf break. The shelf break is the offshore extent of the NES-LTER research. Two of the scientists on the SPIROPA project (featured in the videos) are also part of the NES-LTER project.
Blog by Sage Lichtenwalner, Rutgers University
https://datalab.marine.rutgers.edu/2019/01/what-makes-a-scientist/
Blog and video by Sage Lichtenwalner, Rutgers University
https://datalab.marine.rutgers.edu/2020/11/storytelling-with-ocean-data/
Data Literacy 101 series in NSTA Science Scope by Kristin Hunter-Thomson and everything from Kristin at www.dataspire.org
References, blogs, explanations, and ideas from Partners in Data Literacy at https://partnersindataliteracy.com/
Send me suggestions if you find articles you find helpful! (abrickley dot edu at gmail dot com)
If you have more questions, please reach out to Annette Brickley (abrickley dot edu at gmail dot com) and she will connect you with resources to support your individual needs.
She will also remind you that this is not a thesis project for students. It's about giving them the opportunity to play with data and do their best to tell a data story based on the patterns they notice and the science content they understand.