The end of the school year will be here before too long. For many of you it's only about six weeks away. If you and your students have been blogging along this year, you might be wondering what you should do with those blogs when the year ends. Do you leave them floundering in the Internet winds? Do you delete all of the posts? Do you password protect all of the content? Or should you download the content and turn it into a physical artifact? Edublogs answers those questions and more in their new guide on how to deal with student and class blogs at the end of the year.
In How to Deal With Student and Class Blogs at the End of the Year Edublogs provides directions for archiving blogs, hiding content, deleting blogs, and transferring ownership and administration of blogs. The guide also includes step-by-step directions for exporting the content of a blog and then turning it into a PDF through a service called Blog Booker.
I've used Blog Booker in the past to turn Blogger blogs into PDFs and ebooks. Watch this video to see how that process is done.
Turbulence: One of the Great Unsolved Mysteries of Physics is a new TED-Ed lesson that explains what turbulence is and the forces that create it. The lesson explains that even though we typically associate turbulence with flying in airplanes, turbulence exists in many other places including oceans.
Google Dataset Search is a search tool that I learned about this week during one of Daniel Russell's presentations at the TLA conference. Google Dataset Search is a new (still in beta) search tool that is designed to help users locate publicly available datasets. This isn't a tool for searching within the datasets, it's a tool for finding datasets. For example, if you're doing research on earthquakes and want to find some datasets to analyze, Google Dataset Search will help you locate datasets that you could then open and or download to analyze.
Applications for Education
Google Dataset Search could be helpful to high school and college students who are interested in analyzing data for the purposes of identifying patterns, changes, and correlations. Students who find datasets in this manner will need to remember to use "Control + F" or "Command + F" to search within the datasets that they open.
Earlier this week I had the good fortune to sit in on two presentations at TLA given by Daniel Russell. He is Google's Senior Scientist in charge of search quality and user happiness. If you ever get the chance to hear him talk about search, take it! Even if you think you're good at conducting web research, you will learn something new by listening to Dan speak. This week I learned about Google's new Dataset Search tool (more on that in another blog post) and I was reminded of an image search strategy called sub-image searching.
The strategy is to take a screenshot of a portion of an image then upload that image to Google Image search to see if you can identify or at least get a good clue to help you solve a search challenge.
I used this strategy and wrote about it six years ago to help a friend identify the meaning of the lettering on the tea set that she purchased at a flea market. Had I simply uploaded a picture of the whole tea set to Google Image search, I would have had a huge list of pictures of random tea sets because Google Images would have interpreted my search as a request for tea sets. So instead of uploading a picture of the tea set I uploaded a screenshot of the lettering. That alone that work in some cases. In this case I had to try adding few words to my image search before I was able to find the answer to the question of "what does this lettering mean?" That additional step is called Search by Image FU and is outlined in this 90 second video.
By the way if you are interested in learning more about developing search lessons for K-12 students, I am hosting a webinar on that topic next week. And if you want to dive into some highly advanced search challenges, take a look at Daniel Russell's SearchReSearch blog.
