Project Title

Beginning beta implementations

Project Summary

MATHstream is an interactive, adaptive live-video learning experience designed to dramatically accelerate middle school math learning by engaging students in real-time, active problem solving with expert instructors. Since MATHstream’s launch, Carnegie Learning has conducted four years of research on generative-AI audio, video, and text-chat supports, allowing us to continually use student and educator data and feedback to enhance the product and strengthen its instructional impact. 

MATHstream is grounded in a clear logic model: students use MATHstream for remediation, reteaching for absences or re-engagement, and additional math class time—activities that lead to stronger understanding of core lessons, recovery of missed learning, and improved prerequisite knowledge. At the same time, teachers use MATHstream for all of the above, plus lesson preparation, which improves lesson delivery and raises teacher knowledge and confidence, particularly for novice teachers or those new to Carnegie materials. By increasing active learning time, reducing unproductive struggle, and supporting teachers in delivering stronger instruction, MATHstream creates a scalable system capable of doubling the rate of middle school math learning.

MATHstream’s Impact

  • Districts in Massachusetts and Texas showed that completing just 3–5 streams to proficiency produced 6-point gains on MCAS and 156–215-point gains on STAAR. 


Media

 

What have teachers and students said about MATHstream?

  • Middle School Math Coach, “My students can often identify where they need extra support before I’ve even looked at the MATHstream item analysis, so to see them feel that independence and responsibility is great. MATHstream has allowed them to take ownership of their learning.”
  • Student, “I really enjoyed MATHstream. I thought it was very interactive and it was helpful to know what I need in math. I really enjoyed the teachers.”

Or contact Jamie Sterling, Vice President of Product, Research & Development at jsterling@carnegielearning.com.

Team Members

Steve Ritter
Founder and Chief Scientist at Carnegie Learning
Steve Rae
SVP of CL Next at Carnegie Learning
Stephen Fancsali
Director of Advanced Analytics at Carnegie Learning
Jamie Sterling
VP of Product, CL Next at Carnegie Learning