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Elementary students will find homework resources here including a dictionary, subject & textbook help, brain games, virtual field trips, and

Social News Networks: 1. Digg - community based web 2.0 social network. 2. Plime - news network where users can vote up and down. 3. NewsClowd - network to share popular news. 4. Mixx- Digg style application to share news, pictures, and videos. 5. Linkinn - old news sharing network. 6. EarthFrisk- news network (Digg style) 7. Zimbio - allow members to ping their blogs, submit stories, write articles, and share links. 8. Searchles - media blog to share news and viral stories. 9. Hugg- network to post news links (Digg style). 10. Kirtsy -interesting site to find and share information. 11. NewsVine - news site to share serious information and stories. 12. Jigg- Digg style social bookmarking site. 13. Propeller - extremely popular news site. 14. ShoutWire - network to rate pictures, news, and videos. 15. Linkspocket - simple news network. 16. Content Pop - site to find popular content pages. 17. TrailFire - well designed network to share news and

TagCrowd is a web application for visualizing word frequencies in any user-supplied text by creating what is popularly known as a tag cloud or text cloud. It was created by Daniel Steinbock, a doctoral student in Design and Education at Stanford University. Today, text clouds are primarily used for navigation and visualization on Web 2.0 sites that employ user-generated metadata (tags) as a categorization scheme. (Flickr is a good example.) TagCrowd is doing something different. When we look at a text cloud, we see not only an informative, beautiful image that communicates much in a single glance, we see a whole new perspective on text. TagCrowd is taking tag clouds far beyond their original function: * as topic summaries for speeches and written works * as blog tool or website analysis for search engine optimization (SEO) * for visual analysis of survey data * as brand clouds that let companies see how they are perceived by the world * for data mining a text corpus