Dan Russell has actually offered the motivation for many of the web research lessons that I have conducted with students over the years. Each week he posts an interesting search challenge for readers then offers the responses a few days later on. The challenges differ in difficulty, but I constantly learn something from them no matter how hard they are. A few years ago he published an obstacle called
Whats In Common? In the years since, Ive used numerous modifications of that obstacle to help trainees find and practice making use of a variety of search tools and methods.
The Whats In Common? challenge asks you to recognize the shared characteristics of two or more photos, events, and or situations. In Dans initial post he asked readers to find the commonalities in between 3 floods and he asked readers to find the commonness between 3 plants.

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

Every week he publishes an intriguing search challenge for readers then offers the responses a few days later. The obstacles differ in trouble, however I constantly learn something from them regardless of how tough they are. A couple of years ago he posted a challenge called
I might make one obstacle based on reading the content of web pages that students find while browsing and make another obstacle based on being able to find and utilize the meta information in images.

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

If you see it elsewhere, it has actually been used without approval. Websites that steal my (Richard Byrnes) work consist of CloudComputin and WayBetterSite.

Applications for Education
What I like about the
Whats In Common? obstacle is that I can make it as easy or as tough as I need it to be based on my students existing skill levels. For instance, I might make one obstacle based upon checking out the material of websites that trainees find while searching and make another difficulty based upon having the ability to find and use the meta data in images.