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Planning an effective presentation | Ready to Research. Three Reasons Kids Need Digital Literacy and Citizenship Education. Photo by WhiteAfrican Note from Beth: By the time you read this post, I’ll be in the air enroute to Rwanda for a training project. As a parent of wired kids, I think teaching digital literacy is very important for parents to do. Here’s some great advice from my colleagues at CommonSense Media.

Three reasons kids need digital literacy and citizenship education — and three ways to provide it – Guest Post by Emily Esch If you’re reading this blog, it’s probably because you’re a huge fan of social media and believe that it empowers all of us to connect, create, explore, and understand our world. I believe that, too, and I love working for an organization — Common Sense Media, an independent nonprofit — that’s dedicated to preparing kids to make the most of the incredible opportunities this networked culture provides us, while overcoming its potential pitfalls.

Here are three reasons why digital citizenship matters: Kids need guidance in this area of their lives, too. Important stuff, right? NLP People - Tools and insights for a data scientist. Tools and insights for a data scientist Big scale data analysis has been around for years, but only recently it started to be recognized in industry as a valuable mechanism to foster a bunch of business processes. In this publication we tried to collect some of numerous open resources accessible by everybody working in the field of data mining.

Part 1, by Ryan Swanstrom, lists the most important paper in the field of data science. Part 2, by Fari Payandeh, lists more than 50 O/S tools for Big Data. Part 3, by Greg Reda, tells how data analysis can be done using basic Unix commands. Part 1. 7 Important Data Science Papers It is back-to-school time, and here are some papers to keep you busy this school year. Google Search PageRank – This is the paper that explains the algorithm behind Google search. Hadoop MapReduce – This paper explains a programming model for processing large datasets. NoSQL These are 2 of the papers that drove/started the NoSQL debate. Machine Learning Bonus Paper Hortonworks grep. 67075_TN. Blog View - What Happens (or Doesn’t) When We Lecture. OER Visualisation Project: Exploring UKOER/JORUM via OAI with Google Refine and visualising with Gource [day 11] MASHe.

I should start with the result so that you can see if it’s worth doing this: The video shows the deposits from institutions and Subject Centres to Jorum tagged ‘ukoer’ from January 2009 to November 2011. In total over 8,000 deposits condensed into 5 minutes (there are more records, but these were the ones that could be reconciled against an institution name). Here’s the recipe I used to do it, which should be easy to modify for your own and other repositories. As the explanation takes longer than to actually do it I’m going to assume you understand some basic tools and techniques, but you can always leave a comment if something isn’t clear.

Let start by looking at what it is we are trying to achieve. The animation is generated using code from the open source Gource project. Gource log format The user andrew adding the file src/main.cpp on Thu, 03 Jun 2010 05:39:55 GMT (1275543595): 1275543595|andrew|A|src/main.cpp Getting the data – building a source =VLOOKUP([@[ns1:setSpec6]],ListSets!