Built from research.
Many companies create products and then look to research to validate those products. Carnegie Learning started with the research and then built and improved our products from that research.
Founded by cognitive and computer scientists from Carnegie Mellon University, Carnegie Learning has been deeply immersed in research from the start. Our work is guided by more than 20 years of scientific research into how students learn math. Everything we do is driven by our research background and commitment to using learning science to make math learning better for students and teachers.
The Carnegie Learning Math Solution is among the most carefully studied mathematics curricula and meets ESSA Tier 1 "Strong" evidence standards.
"Our approach is different because it is inspired by empirical data. We are helping to transform the classroom by applying cognitive science to our products and services. My job is to set students up for success by providing them with the best math education on the planet."
Dr. Bob Hausmann, Author and Learning Technology Scientist
Carnegie Learning is rated higher by EdReports than any other blended middle school math solution.
We offer the only middle school math curriculum to achieve a perfect score in Focus, Coherence, Rigor, and Mathematical Practices, while also providing best-in-market adaptive learning technology. An EdReports ranking this high for a blended offering is unprecedented. A similar review is being conducted right now for our new High School Math Solution.
Proof that Carnegie Learning works.
In an independent “Gold Standard” study funded by the U.S. Department of Education and conducted by the RAND Corporation, the Carnegie Learning blended approach nearly doubled growth in performance on standardized tests relative to typical students in the second year of implementation. This study is more comprehensive and rigorous than any other research study on a middle school or high school mathematics program.
Research Based On
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A dream team committed to what works.
Our research team is made of thought leaders, cutting-edge researchers, and master math practitioners, including cognitive scientists, data scientists, and learning science researchers. They conduct advanced research and publish results on the most effective mathematical practices and behaviors that lead to sustained math achievement, always mindful of what works best in today's real world math classrooms.
Our research extends far beyond our own walls, playing an active role in the constantly evolving field of cognitive and learning science. Carnegie Learning researchers collaborate with a variety of independent research organizations and universities, tirelessly working to understand more about how people learn and how learning is best facilitated.
"We take the research very seriously, so we understand what’s been proven to work and balance that with a healthy respect for the difficulty in translating laboratory research into practical and effective classroom practices. We're also unique in that we don’t just read about learning science — we’re active collaborators with some of the world’s leading learning scientists."
Dr. Steve Ritter, Chief Product Architect
Pittsburgh Science of Learning Center
Funded by the National Science Foundation (NSF), our researchers partnered with others at Carnegie Mellon University and the University of Pittsburgh to use field experimentation and data mining to improve the effectiveness of educational technology.
Innovative Assessment with MATHia Software
Funded by NewSchools Venture Fund, the goal of this project is to develop a simple metric that summarizes complex, fine-grained formative assessment of student skill mastery provided by our MATHia Software. This metric will be the basis for grade-level status monitoring, grading, and external assessment prediction in MATHia.
Integrating Human and Automated Tutoring
In partnership with the University of Memphis, our research team is exploring the interactions between students and human tutors and students and intelligent tutoring systems. Funded by the U.S. Advanced Distributed Learning (ADL) Initiative, the research examines why and when students access human help, and how that effects student work.
Hyper-Personalized Intelligent Tutoring (HPIT)
Funded by the US Departments of Defense Advanced Distributed Learning Initiative and in partnership with Carnegie Mellon University, HPIT focused on how we can improve tutoring interactions by taking into account non-cognitive factors (such as personality variables, preferences, and attributes like persistence and attitudes towards learning).
Translating data into action.
Our Ph.D. researchers are dynamic, practical and thoughtful in their approach to research. As part of our transformational services, you can tap our great research minds to help you translate your district data into action. Together with our researchers, you can study student sub-populations, usage patterns, learning outcomes and other customizable data to help you gain greater insight that leads to smarter, more effective math teaching and learning.
