Dan Russell has offered the motivation for much of the web research study lessons that I have actually conducted with students over the years. Each week he publishes a fascinating search challenge for readers then supplies the responses a few days later. The obstacles differ in difficulty, but I constantly find out something from them despite how hard they are. A few years ago he published a challenge called
Whats In Common? In the years considering that, Ive utilized various modifications of that obstacle to assist trainees discover and practice utilizing a variety of search tools and methods.
The Whats In Common? difficulty asks you to identify the shared attributes of 2 or more images, occasions, and or circumstances. In Dans original post he asked readers to find the commonalities between three floods and he asked readers to discover the commonalities between 3 plants.

What do these 2 have in typical besides being pet dogs?

If you see it elsewhere, it has been used without consent. Websites that steal my (Richard Byrnes) work include CloudComputin and WayBetterSite.

Applications for Education
What I like about the
Whats In Common? difficulty is that I can make it as simple or as difficult as I need it to be based on my trainees present skill levels. I may make one challenge based on reading the material of web pages that trainees discover while searching and make another difficulty based on being able to discover and utilize the meta information in images.

In addition to his blog, Dan Russell has a great book titled
The Joy of Search. That book is packed with pointers for ending up being a better users of search engines..

Every week he publishes an interesting search difficulty for readers then supplies the answers a few days later on. The challenges vary in trouble, but I always find out something from them regardless of how difficult they are. A few years ago he posted an obstacle called
I may make one obstacle based on reading the material of webpages that trainees discover while browsing and make another obstacle based on being able to find and use the meta data in images.