DataClassroom

Webinar next week: Getting Started with DataClassroom Graphing and Statistics

https://about.dataclassroom.com/upcoming-workshops

Thursday, October 23 from 7:00 - 7:45 pm EST

Does taking supplements with antioxidants have beneficial health effects? Like reducing heart attack risk?

It turned out that this wasn’t the case - quite the opposite in fact!

https://about.dataclassroom.com/blog/antioxidants-are-bad-for-you

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Students enjoying working with data at the University of Central Arkansas!

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How does potential energy change to kinetic as a high diver dives off a cliff?

https://about.dataclassroom.com/ready-to-teach/energy-transformation

There's an idea that students must use spreadsheets for everything - because “that’s what they’ll use in the workplace”.

But scientists don’t much use spreadsheets for analysis.

https://about.dataclassroom.com/blog/excel-in-the-classroom-go-one-better

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Take your own good time and see what the data are telling you...

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Crunchy or Squishy?

In this Digital Data Nugget, students explore data to answer the question: Do the two main groups of zooplankton increase or decrease in response to changes in their phytoplankton food during El Niño events?
https://about.dataclassroom.com/ready-to-teach/crunchy-or-squishy

Maximize Learning for AP Bio!

We’ve got 8 datasets Classroom-Ready as the perfect companion to your cued up investigations.

Check them out here: https://about.dataclassroom.com/blog/ap-bio-datasets

Glad to hear students are really getting something out of using DataClassroom!

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The Graph Wizard assists the student in deciding which kind or graph - or graphs - might best illustrate their data.

Read more about our Graph Wizard here: https://about.dataclassroom.com/blog/graph-wizard

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Webinar tonight: Guiding Students to Success with Data in IB Science IAs

https://about.dataclassroom.com/upcoming-workshops

Tuesday, September 23 from 4:15 - 5:00 pm EST

Students discovering meaning in their data - now that's learning!

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A free resource - learning progressions for the classroom!

These learning progressions were created to help educators build data skills into learning experiences at every grade level. Explore the full framework at https://datasciencelearning.org

How to get a feel for how much data you need to collect for an experiment to give a significant result? Simulations are a great way to get an idea.

https://about.dataclassroom.com/blog/collecting-enough-evidence
#DataScience #TeachingStats #DataLiteracy

Webinar next week: Guiding Students to Success with Data in IB Science IAs

https://about.dataclassroom.com/upcoming-workshops

Tuesday, September 23 from 4:15 - 5:00 pm EST

This really motivates us!

#DataScience #TeachingStats #DataLiteracy

Learning progressions!

The world runs on data, but too often, classrooms are not keeping up. These learning progressions were created to help educators build data skills into learning experiences at every grade level. Explore the full framework at https://datasciencelearning.org

The Bridge to R feature lets you build a visualization and run a hypothesis test in DataClassroom - and then generates nice, well-annotated code to do the same thing in R!

Read more on the blog: https://about.dataclassroom.com/blog/bridge-to-r

#DataScience #TeachingStats #DataLiteracy

Nice IB Biology result!

Feeling puzzled on which error bar to direct your students to for their data? Need a refresh on how to do it all in DataClassroom? Check out this archived webinar to find what you’re looking for!

Students starting to design their surveys?

In this blog post we focus on the topics most relevant for making easily-analyzable data, like goals, using survey tools and planning your analysis FIRST!

https://about.dataclassroom.com/blog/survey-design

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We're over the moon too!

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For true data literacy we need to move on from the simple bar graph and use graphs that show you more.

Why? Check out the blog: https://about.dataclassroom.com/blog/the-end-of-the-bar-graph

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The ability to "play" with data is the very foundation of data literacy!

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We support students as they begin to work with their own data. Cool features are great, but what exactly can a tool assist with at the data import and preparation stages?

https://about.dataclassroom.com/blog/scaffolding-for-student-data-preparation

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DataClassroom assists migration to coding-based analysis, allowing students to gain confidence along the way.

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DataClassroom makes error bars and box plots (box and whiskers) easily available and easy to play with. This encourages the student to think more about which story their data is telling them.

https://about.dataclassroom.com/blog/adding-descriptive-stats

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The ease of use allows students to focus more on the actual analysis...

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What can we learn from the “shape” of our data?
What might we want to look at next?

Have a play and find out!

https://about.dataclassroom.com/blog/playing-with-data

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Great feedback from Switzerland!

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