Metadata
Title
Work That Matters
Category
undergraduate
UUID
f0020b41b72e40d39319674954d40bc1
Source URL
https://admission.enrollment.cmu.edu/work-that-matters
Parent URL
https://admission.enrollment.cmu.edu/
Crawl Time
2026-03-24T05:31:28+00:00
Rendered Raw Markdown

Work That Matters

Source: https://admission.enrollment.cmu.edu/work-that-matters Parent: https://admission.enrollment.cmu.edu/

Free AI-Enabled Courseware to Strengthen Student Success

Learnvia, a new CMU nonprofit learning collaborative, is dedicated to improving outcomes in high-enrollment college courses with the potential to transform the academic and career trajectories of learners nationwide.

DISCOVER WHAT'S NEXT: CATALYZING STUDENT SUCCESS

Unlocking Success

Empowers students to excel in high-stakes courses

Zero-Cost Access

Removes financial barriers to STEM

National Scale

Deployed across a network of 38 institutions

Data-Driven Success

Fosters the persistence and resilience needed for the workforce

Learning Science

CMU researchers are exploring how artificial intelligence, immersive environments and large-scale learning analytics can support lifelong learning, workforce training and personalized education at global scale.

We build AI fluency for the real world

Plush Neuron Makes AI More Approachable for Everyone

A team at CMU is helping kids understand artificial intelligence with a soft, squishy, LED-lit neural network. The Plush Neuron was designed to help students visualize the basic elements of the machine-learning model that powers much of modern AI.

Tactile Tool Helps Young Students Visualize Neural Networks

Interactive Neuron Plushie

feet

Robotics Academy Program Prepares Sailors for Real-World Situations

Developed in collaboration with the Office of Naval Research, a CMU program aims to explore cost-effective ways to prepare U.S. Navy sailors for a fast-changing robotics landscape by equipping them to rapidly understand, operate and adapt autonomous systems, including certain forms of AI.

Navy Robotics Specialists Prepare for the Age of AI

Hands-On Experience

across robot platforms

What if we encourage generative AI to see how it impacts learning?


CMU leaders work to understand what opportunities and challenges generative AI tools bring to higher education.

Sit down with Provost Jim Garrett, Vice Provost for Teaching and Learning Innovation Marsha Lovett, and Senior Vice Provost for Academic Initiatives Amy Burkert to learn more about the use of generative AI tools in education, the science of learning and what CMU is doing differently in the age of AI.

Watch: AI at CMU Fireside Chat

Our goal is to make student and faculty success the norm, not the exception. Decades of research show that combining great teaching, effective courseware, and continuous learning research leads to meaningful improvements in student outcomes.

Norman Bier \ Executive Director of the Simon Initiative, Open Learning Initiative and Learnvia

Watch: Engineering Learning for the Better

We expand human potential

Education That's Designed to Last a Lifetime

CMU connects to K-12 classrooms, community colleges, universities and workforce development programs through a mix of high-tech tools, evidence-based courses and a surprising amount of creativity.

How We Facilitate Education from Kindergarten to Career Change

Supporting learners

age 1 to

Studying How AI Reshapes Learning for Teachers and Students

An initiative to research the impacts of generative AI tools on teaching and learning is helping the university take an empirical approach to studying whether, when and how generative AI can have a positive effect on student outcomes.

Learning How Generative AI Impacts the Classroom

Research Projects About Generative AI Teaching

+

What is Learning Engineering?


CMU uses learning engineering to make classes better every time we teach them.

Norman Bier explains how we use learning engineering to work together with our students to tackle the kinds of big problems that are the hallmark of a Carnegie Mellon education.

Watch: What Is Learning Engineering?

CMU's Leadership in Learning Science

Carnegie Mellon has been a pioneer in the science of learning for decades. Some of these major initiatives include:

Open Learning Initiative (OLI)

The OLI applies learning science and continuous feedback to open, research-backed courses used by hundreds of institutions worldwide — driving dramatically higher learning gains, including six times the improvement in half the time compared to traditional instruction.

Master of Educational Technology and Applied Learning Sciences (METALS)

METALS is an intense one-year, interdisciplinary master's program that trains graduate students to apply evidence-based research in learning to create effective instruction and educational technologies within formal and informal settings.

Leonard Gelfand Center

The Gelfand Center works with faculty, students and staff through on-campus and community-based activities that improve educational opportunities, especially in the areas of science, technology, engineering and mathematics education for youth.

The Simon Initiative

The Simon Initiative at Carnegie Mellon University is a cross-disciplinary, learning-engineering initiative aimed at measurably improving student learning outcomes by applying decades of learning science research to education.

CS Academy

CS Academy is a project in CMU’s School of Computer Science (SCS) that has the goal of developing a novel, world-class, online, interactive high school computer science curriculum that is entirely free. CS Academy provides computer science curriculum to more than 500,000 students and 6,000 teachers in all 50 states.

Workforce Development through the SMART Robotics Technician Program

Carnegie Mellon Robotics Academy’s SMART Robotics Technician program offers 200 hours of hands-on learning for aspiring technicians in smart manufacturing and advanced robotics.

We power innovation and opportunity

Project to Bring Training, Testing and Jobs to Region

When finished, the CMU-backed PennSTART test track will provide researchers, developers and testers a safe, realistic place to test and deploy connected and automated vehicles, train first responders through lifelike scenarios and try out new tools that make transportation better.

High-Speed Test Track for Automated Vehicles Under Construction

Total Funding for the Project

$ million

A Fictional Workplace Mirrors Real-World Cyberattacks

Researchers at CMU have partnered with the Community College of Allegheny County (CCAC) to develop simulations that create real-world cybersecurity experience for young people entering the rapidly growing workforce.

Cybersecurity Simulation System Gives Students First-Hand Experience

Projected Job Growth for Information Security Analysts

%

From 2024-2034

From improving health outcomes and enhancing education, to strengthening national security and advancing trustworthy AI, our work makes life better for people everywhere.

Learn More About Our Work That Matters

Learn More about Carnegie Mellon Research