Skittles® Count

How better to get your scholars invested in division than through candy? Use this hypothetical candy story scenario to give depth to a lesson plan on dividing by 1. After hearing about a new candy that is packaged one per box, partners...

Few things can motivate children to learn like the promise of a sweet and tasty treat. Given a bag of M&M®s, Skittles®, or other colorful candy, students first predict the contents of the bag before counting the pieces, creating a...

Young scholars are introduced to the scientific method by hypothesizing, counting, analyzing and concluding which company packs candy more reliably - Skittles or M&Ms.

Youngsters show understanding of accurate division of whole number, decimals, fractions, and percents using manipulatives (candies). They use white boards to demonstrate their understanding of representing numbers as defined in the...

Students discuss the uses of graphs. They use color candies to count and sort before designing graphs. They label the graph papers with appropriate titles and candy colors. They complete the graph bars, and discuss the results with a...

Young mathematicians use bags of Skittles to help them gain practice in graphing and organizing data. They work in pairs, and after they have counted and organized their Skittles, they access a computer program which allows them to print...

Third graders access prior knowledge of fractions. In this fractions lesson, 3rd graders divide sets of numbers into fractions. Students sort Skittles into fractions.

Students use Skittles candies as they explore estimation and percentages. In this math lesson plan, students sort, count, and chart Skittles candies to learn about estimation and study percentages.

Students graph the colour distribution found in a packet of Skittle lollies, M&M's, Smarties or similar sweets. Results are compared and recorded against the results of other class members.

Students count candy by color and then calculate mean, median, and mode. They count candy and use the data to calculate mean, median, and mode (by color) and apply their learning to another collection of data.