I so liked how the tree of life turned out the last time I tried it, that I did it again this year with a significant improvement in the use of rubber bands.
Students chose organisms and then looked up their classification — Wikipedia quite reliable for this — then they wrote the names down on synchronized chips of colored paper. As usual, they preferentially chose charismatic, mammalian, megafauna, but there was also a squid, and for two people who did not come up with anything themselves, I assigned a plant (elm), and a bacteria (the one that causes strep throat).
The actual color pattern of the chips does not matter, but I used red for Domain, yellow for Kingdom, green for Phylum, pink for Class, red for Order, yellow for Family, green for Genus, and pink for species. The colors repeated, and I liked how that helped organize the pattern of the final result.
In class, using a pin-board, I used push pins to place homo sapiens on the board. I linked the push pins with rubber bands, which makes for a nicer, sharper pattern than using string, and is easier to do.
To get a nice pattern I then asked who had the closest relative to humans. It took a little effort to figure it out, but I decided to go with a degrees-of-separation metric. Basically, I asked them to count up the classification system to see how many levels they’d have to go to get to something their species shared with humans. The closest were at the Class level: mammals.
Then, starting with the students with the lowest separation distance, I had the students come up to the board and add their organism to the growing tree.
Later, during lunch, a student asked me what was the difference between bison and buffalo. I didn’t know, but another teacher pointed out that one was from North America and the other from Africa. So I asked two of my middle schoolers to look up the classification of american bison and water-buffalos, which we subsequently added to the tree, and which got me thinking about how we might use the rate of separation of the two continents to figure out how fast genetic variation develops.