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Featured Resources

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Algorithmic Bias Tie-in for Martin Luther King Jr. Day

Rev. Dr. Martin Luther King Jr. marched so that his children would not be judged by the color of their skin... So perhaps looking at algorithms that identify people based on their physical characteristics isn't exactly what he had in mind.
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Rubber Duck Day!

Today is National Rubber Duck Day! What a perfect day to use Rubber Duck Debugging with students!    Here are some of my favorite resources:
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Give One Receive One EduProtocol - The Gift of Gratitude Practices

With the start of the new year let's do a better job with sharing and collaborating on effective teaching and learning resources to enhance teacher instruction and student learning.
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Resources for Active and Equitable Recruitment

UTeach CS has developed new resources to help you actively and equitably recruit students into CS! (free micro-credential, editable planning guide, flyers, and recruitment tips)
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I'm Interested In:

  • Algorithms and Programming - Program Development
  • Data Analysis - Visualization and Transformation

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Displaying results 1 - 3 of 3
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Crowdsourcing Computer Science Creative Ideas, Activities and Resources List for #HourofCode

Submitted by Naomi Harm on Mon, 11/02/2020 - 11:48
Could you help me with contributing too and crowdsourcing to this computer science creative ideas, activities and resources list, so we can provide for our students and teachers an amazing curated
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Equity and Access: CS Frameworks: The Need for Equity in Computer Science

Submitted by Vanessa Jones on Fri, 10/23/2020 - 12:35
A few years ago, I had the opportunity to work with a bunch of wonderful computer science advocates.
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Changing the Equation

Submitted by Vanessa Jones on Mon, 10/12/2020 - 18:05
Half of high school seniors attend schools that don't offer computer science.
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  • (-) Impacts of Computing - Culture (3)
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  • Algorithms and Programming - Algorithms (1)
  • Computing Systems - Devices (1)
  • Computing Systems - Hardware and Software (1)
  • Data and Analysis - Collection (1)
  • Data and Analysis - Inference and Models (1)
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Practices

  • (-) Creating Computational Artifacts (3)
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