Like It, Love It, Gotta Have It
Like It-Love It-Gotta Have It is a strategy I use to differentiate assignments within my micro-groups in a Live Investigation. The three names are, in my opinion, a better way of saying high, medium and low. The kids really love the names. In a Live Investigation, there is usually varying levels of abillity or knowledge in that particular skill. By making a high, medium, and low activity, students have the ability to challenge themselves at their own level. I assign different parts of the room for each activity so I can physically see where the students are. Most of the time, I let the students self-assess and they move throughout the room according to which level they are. They are free to move (up or down) from one section to the next. Most of the activites I assign here are digital. I really like using Khan Academy here, as I can track students physically as well as digitally. With this strategy, I can also target the students at the Like It level and allow the Gotta Have it students to fly a bit on their own.
A blended teacher’s personal mindsets shape his decisions as an educator. These mindsets influence general pedagogies, instructional approaches, and short-term decision making, alike. Check out how Aaron’s mindsets have helped to shape his blended instruction.
TOAST is an acronym that stands for "Time Owed After School Today." It's a very simple and non-punitive consequence that we implement for students who don't follow the rules: 1) Respect all people, property, and ideas; 2) Follow directions the first time; 3) Be prepared. I make it very clear at the beginning of the year that TOAST does not mean I'm mad at you or that you're a bad person; however, there are consequences for your actions that are not consistent with our community expectations. Paying with time and doing some community service or making a plan to change student actions have been effective ways to turn negative student behavior into a positive.
The grouping algorithm employed by School of One assigns students a new lesson every day based on the student's most current learning needs. The algorithm actually learns the students' needs from the previous day's exit ticket. One of the learning styles or lesson types, Live Investigation, assigns students to me who are ready for whatever the assigned skill is. However, within that group, there are still varying levels of ability. I can see all of this on my data report and then I can group within my group. I call this micro-grouping.