When it comes to AI in education, one edtech company stands out as a sage leader and trailblazing pioneer.
Amid the chaotic deluge of new generative AI tools, claims and calamities inundating school leaders, Carnegie Learning has been all in on AI for nearly 25 years.
Starting with MATHia, an adaptive AI tutor that personalizes instruction for middle and high school students, Carnegie Learning expanded last year into AI-based tools for literacy, languages, tutoring, and even professional learning for teachers and leaders.
CEO Barry Malkin is excited about the power of today’s artificial intelligence to personalize education, but Carnegie approaches AI with humans in mind.
“At the root of everything we do is the goal of supporting students, teachers, and leaders in raising student achievement using learning science — and AI,” explains Malkin.
The path to their collective goal is equally succinct: continuous research, customer feedback, and growth.
Carnegie has experienced significant growth over the years, adding new employees, part-time tutors, adaptive AI products, research projects, and a new Canadian headquarters.
Malkin’s insights on choosing AI tools wisely, Carnegie’s position in the AI landscape, and AI as positive reinforcement for learners are valuable after years of experience.
EdSurge: What makes Carnegie Learning’s AI approach different from other edtech offerings?
Malkin: Carnegie Learning’s roots lie in AI-driven products developed by Carnegie Mellon University. With 25 years of experience, we have integrated generative AI into our products thoughtfully and purposefully to enhance student and teacher support.
Research and data drive our AI integration, ensuring our products are based on learning science and research for meaningful differentiation.
Carnegie Learning’s approach focuses on adding value to educators and students with thoughtful, research-based AI tools integrated into the curriculum.
Considerations for adopting AI tools in schools include actual value, thoughtful integration, and alignment with research.
Research plays a critical role at Carnegie. How does this manifest in practice?
Our research team continually studies the efficacy of our products and follows a process of continuous improvement. They explore learning science and student needs to enhance product outcomes.
Large-scale studies like the Gold Standard RAND Study funded by the U.S. Department of Education provide crucial validation for Carnegie’s products.
Independent validation and data collection inform product enhancements, contributing to the overall efficacy of Carnegie Learning’s offerings.
How can AI support the goal of providing equitable, personalized learning for all students?
AI technology, when used purposefully, can enhance student engagement, empowerment, and contextual learning experiences. Personalized learning through AI can ignite passion in every learner and ensure all students receive the necessary support to excel.
Carnegie Learning’s AI-driven solutions are designed to keep students on track and provide additional support, especially for those who need it most. By leveraging AI for personalized learning, students can achieve greater outcomes and develop a deeper understanding of concepts.
Overall, AI has the potential to transform education by providing students with tailored, engaging learning experiences that inspire lifelong learning and success.
