College and Career-Ready Standards for School Leaders
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College and Career-Ready Standards for School Leaders
Supporting school leaders in helping all students become college and career-ready and to succeed in post-secondary education and training
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How To Make Students Better Online Researchers

How To Make Students Better Online Researchers | College and Career-Ready Standards for School Leaders | Scoop.it
I recently came across an article in Wired Magazine called "Why Kids Can't Search".
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Doing What Works: Researched-Based Practices

We make it easy to find research-based practices.

Our mission is to translate research-based practices into practical tools to improve classroom instruction.

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Charting a Research Course to Deeper Learning | Chris Lehman

Charting a Research Course to Deeper Learning | Chris Lehman | College and Career-Ready Standards for School Leaders | Scoop.it
Walk the halls of nearly any school and you are certain to find projects that, though colorful and well-intended, are either plagiarized directly from sources or are filled with regurgitated facts formed into the shapes of paragraphs. Even more concerning, walk up to any of the creators of those posters or essays or booklets and ask, “Can you tell me about your topic?” and a great percentage of them will look at you as if you are out of your mind (imagine a typical pre-teen look of disgust here).
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Web literacy: Where the Common Core meets common sense | eSchool News

The second driving force is the Common Core State Standards.


Most states will have to rethink their approach to teaching critical analysis of all kinds of information, as the standards require that students be able to:

  • Gather relevant information from multiple print and digital sources, assess the credibility and accuracy of each source, and integrate the information while avoiding plagiarism;
  • Draw evidence from literary or informational texts to support analysis, reflection, and research; and
  • Interpret mathematical results in the context of a situation and reflect on whether the results make sense, possibly improving the model if it has not served its purpose.
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