Textbooks and state standards typically have more content than can reasonably be covered for proficiency in most classrooms. Here is a project that gives students a crucial tool for making sense of today’s world.

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### Alisan Boes, Duane C. Boes, and Nichola Hillis

We explore the statistical likelihood of one, or more, siblings in a family of nine surviving to 100 years of age.

### Joshua David Jones

To be literate in a society where the information shared online is often exploited, learners should be exposed to multiple aspects of contemporary predictive modeling. Explore a lesson in which students learned an algorithm used in practice to automate the process of making recommendations.

### Vincent Urbanowski

Inspired by epidemic curves, this class developed a spreadsheet model of an epidemic to compare outcomes with and without protective measures.

### Rebekah Elliott, Megan Brunner, Elyssa Stoddard, and Jenny White

The authors share a teacher-designed mathematical modeling routine geared to support teachers and to leverage opportunities for their students in learning important modeling practices and mathematical content.

### Marina Goodman

Bridge the digital divide by teaching students a useful technological skill while enhancing mathematics instruction focused on real-life matrix applications.

### Elana Reiser

In this activity, students find the theoretical probabilities of winning a coin toss and a round of the rock, paper, scissors game. They next devise strategies to win and test them out. Students then compare the theoretical probabilities they found with the experimental probabilities.

### Amanda K. Riske, Catherine E. Cullicott, Amanda Mohammad Mirzaei, Amanda Jansen, and James Middleton

We introduce the Into Math Graph tool, which students use to graph how “into" mathematics they are over time. Using this tool can help teachers foster conversations with students and design experiences that focus on engagement from the student’s perspective.

### Joshua Jones

Explore a lesson in which students used conditional probability to conjecture a predictive text algorithm, which, if translated into a coding language, could teach a computer to predict what a user wants to type, given the previous words in a message.