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"Just about when I thought I got everything out of Gmail, I discovered my top favorite Gmail address tip. We have published over 30 tools in Gmail RoundUp 1 and almost 80 tools and tips in Gmail RoundUp 2 but never mentioned anything similar to this one. Tribute for this one goes to my 'I am not into computers' type girlfriend. Let's say that your email address is 'GeorgeBush@gmail.com', basically everything sent to any of the following email addresses will be forwarded to your primary email. GeorgeBush@gmail.com G.eorgeBush@gmail.com Ge.orgeBush@gmail.com … … GeorgeBus.h@gmail.com GeorgeBush@googlemail.com G.eorgeBush@googlemail.com Ge.orgeBush@googlemail.com … … GeorgeBus.h@googlemail.com And that's not all, you can place as many dots as you want, it can be even something like 'G.e.o.r.g.e.B.u.s.h@gmail.com' and you'll still get it on 'GeorgeBush@gmail.com'"

"GE Teach Tour is a free tool that you and your students can use to create tours to play in the new web version of Google Earth. To get started head to geteach.com/tour/ then enter a title for your tour. The next step is to give your first placemark a title and to enter a description of the location you're featuring with that placemark. To place your placemarks in your tour you can either manually enter latitude and longitude coordinates or you can click on the map to insert your placemarks. Finally, to add images to your placemarks you will have to link to publicly available images that are in your Google Drive account or on another image hosting service like Flickr (by the way, linking to images found on sites that prevent hotlinking won't work)."

Thanks for sharing this last evening Andy at the ManACE Tin

"True STEM classes, which are NOT "regular" science or math classes in which teachers have been asked or have chosen to offer STEM-focused lessons to students, are very rare today in most schools. I was blessed the past two years to teach STEM to 4th and 5th grade students as a separate "specials class" where STEM was treated like PE, Music and Art. All students went to STEM class. It wasn't reserved just for the GE/Gifted Education kids. Everyone went to STEM and participated, including many "special friends" who were not mainstreamed for other classes during the day. They went to STEM class, however, because they could succeed in collaborative environments which emphasized hands-on learning."

"Google Maps is an excellent tool to use with students to develop their spatial thinking. Beyond getting driving or walking directions, this tool enables students to discover the world right from their classrooms. It is also a very good way to teach students about geography concepts, distance measurement, map readings and other fundamentals of mapping such as longitude, latitude, locations and many more."

"In this series I'm going to focus on ways that you can go above and beyond for your students, their families, and your professional identity. Once you've got your day to day responsibilities out of the way (lesson planning, assessment, classroom management, etc) there are things you can do and materials you can create that will really upgrade your overall instruction. This might be a reading list that pushes your students from GE into GT, or it might create ongoing activities that expand your pedagogical offerings past the standards and into genuine 21st century skills. In this post I'm going to discuss makerspaces, what they are, and why you should try and incorporate them into your instruction. "

"The groundwork for machine learning was laid down in the middle of last century. But increasingly powerful computers - harnessed to algorithms refined over the past decade - are driving an explosion of applications in everything from medical physics to materials, as Marric Stephens discovers When your bank calls to ask about a suspiciously large purchase made on your credit card at a strange time, it's unlikely that a kindly member of staff has personally been combing through your account. Instead, it's more likely that a machine has learned what sort of behaviours to associate with criminal activity - and that it's spotted something unexpected on your statement. Silently and efficiently, the bank's computer has been using algorithms to watch over your account for signs of theft. Monitoring credit cards in this way is an example of "machine learning" - the process by which a computer system, trained on a given set of examples, develops the ability to perform a task flexibly and autonomously. As a subset of the more general field of artificial intelligence (AI), machine-learning techniques can be applied wherever there are large and complex data sets that can be mined for associations between inputs and outputs. In the case of your bank, the algorithm will have analysed a vast pool of both legitimate and illegitimate transactions to produce an output ("suspected fraud") from a given input ("high-value order placed at 3 a.m."). But machine learning isn't just used in finance. It's being applied in many other fields too, from healthcare and transport to the criminal-justice system. Indeed, Ge Wang - a biomedical engineer from the Rensselaer Polytechnic Institute in the US who is one of those pioneering its use in medical imaging - believes that when it comes to machine learning, we're on the cusp of a revolution."