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I think this is a GREAT resource with massive potential. If you teach any current issues/sociology/modern history courses then this tool is a must. Even if you teach courses like 'algebra' then this tool has potential. I spent less than five minutes looking at the query 'regression analysis' and found two valid content related applications of regression analysis that I could easily use with an algebra I, II or precal course. As an example in the first resource I came across this http://web.sny.tv/news/article.jsp?ymd=20090424&content_id=1499716&vkey=1 article from SNY.tv that mentions "each (interception) in the minus column costs you approximately six points on average over many years of regression analysis." I can see just having an algebra I course examine/explain what that means mathematically, I can see allowing some students to group, decide what data they would need to confirm that analysis and if you wanted let them analyze the data or look for the analysis that has already been done by contacting the author/NFL. If I can find that kind of information within 5 minutes then imagine what someone with imagination could do! Great resource, a must share with your core content teachers and I firmly believe this tool could quickly vault up the list of most useful very ,very quickly. I can't let this go without thinking about differentiation in the classroom, I search for a topic, let groups look at the timeline and choose their own reading (if I have a group that will be challenged by their choice, I might point them to another reading that might scaffold their understanding), but I've built in choice, built in the ability to manage the sources, opened up the ability to quickly find multiple types of sources (video, blogs, primary sources).

Swivel is a great data source for students and teachers alike. You can create graphs right on swivel or download the data sources and create your own. The data set shown in the link is food expenditures at home and away from home by year since 1933. I really like the food expenditures away from home since 1947, it looks like a nice exponential decay function. It would be nice to have students analyze what happened in 1947 to cause the graph to change its behavior. If you are a SS or American History teacher, I think looking at the initial aspect of this data would be interesting given that the data mirrors the great depression and as America came out of the depression the amount of money spent on food items at home decreased, until the advent of WWII!

I like Dave's blog for several reasons. He gives his students voice, he uses technology well, and he seems to find some interesting activities for his students. This post is right up my alley; he uses data that is relevent to his students, has them do some basic analysis and then in explore other data and compare/analyze the data with the original (relevant) data!

Yet, another great data analysis, display tool from Google. Implications in helping students organize/display/analyze/evaluate data is incredible. Displaying data through a map has implications in so many content areas. 

Killing two birds with one stone. Here are some interesting facts about social networking and use among 35-54 yo age group growing by 60% recently according to Forrester. Also, if you are looking for a read-aloud to do with math students, here's a great example to use with them. The topic is social media, the content is proportional reasoning, data analysis, and interpreting real-world data. For example if usage among 35-54 yos has grown by 60% what does that mean among the sample of 4500, what does that mean among the sample of the US population, if previous usage was 15% of that age group, what percentage of that age group now use it? Etc. Good math/science reading is as close as your local USA Today/Yahoo homepage/iGoogle/news RSS

Aggregation of poll data. Great way of exploring data with lots of social studies/current events connections. Time rates this as one of the fifty best sites this year. Worth a few minutes of exploration.

Statistics that lie! This is a great example of data that isn't reported correctly. The article decries the death of Netbooks, when in fact it is more about a stabalization of sales. I encourage math teachers to let students read the article and at least the first two responses. It's a great example of blatant misinformation. 

Allows you to make dynamic charts.

This wiki collects information about tools and resources that can help scholars (particularly in the humanities and social sciences) conduct research more efficiently or creatively. Whether you need software to help you manage citations, author a multimedia work, or analyze texts, Digital Research Tools will help you find what you're looking for. Not all the software is free, but it does provide an extensive list of software for use.

Always important to identify instructional patterns that are helpful and those that may get in the way. I like this data because it always brings me back to an analysis of my rationale for doing what I do in my classroom. Do I always choose good rationale for my instructional routines? mmmm.