AI and Education
The AI and Education program, with support from the Walton Family Foundation, seeks to surface and bet on breakthrough technical ideas that can drive student success.
Challenge and Opportunity
Despite major advances in LLMs and other AI technologies, the use of AI within the field of education remains underleveraged. This is because:
Finding technical experts who are “bilingual” in both AI and education is still rare
There is a lack of education-specific training data, benchmarks, and platforms to build and test meaningful applications of AI in education
Government funding for R&D in education is severely limited
Private capital seeks to fund tools and ideas that focus on rapid profitability or scalability, not necessarily student achievement or learning outcomes
Philanthropy has a promising role play, but many funders are still on the sidelines and playing catch-up
Philanthropy has a unique role to play in advancing education innovation, yet many funders are hesitant to act without guidance. Renaissance Philanthropy bridges this gap with the strategic support needed to create measurable impact.
Strategy
The age of AI is an especially opportune time for education-interested funders to create impact at scale. Major advances in science and technology have immense potential to influence how people learn (e.g., large-scale platforms that can be testbeds for learning science and rapid iteration), where learning occurs (e.g., in and out of school), and who drives educational learning (e.g., different pairings of parents, teachers, peers, human tutors, and AI-driven tutors).
AI has the potential to scale proven approaches like tutoring, help reduce teacher workload, and improve key factors like assessment. In short, AI has massive potential to drive significant increases in learning, particularly for underserved students.
Renaissance Philanthropy is well-equipped with the expertise and proven playbooks to fully capitalize on this moment and channel funding effectively.
The AI and Education program, with support from the Walton Family Foundation, reflects the three key pillars of Renaissance Philanthropy’s model:
Advising Philanthropists and Building Ecosystems. Renaissance Philanthropy believes that we need a thriving ecosystem at the intersection of AI and education. That’s why it operates multiple efforts to link talent, funding, and ideas. These include the Learning Engineering Community, with over 3,000 members, and the AI in Education Funders group, with more than 90 participating foundations and staff.
Surfacing Breakthrough Ideas. Renaissance Philanthropy’s Learning Engineering Foundry is an “innovation furnace” for new ideas that can overcome key bottlenecks within fields, for example, a lack of data for machine learning algorithms to train upon. The effort aims to refine and test innovative solutions before integrating them into the ecosystem. In addition, Renaissance operates the annual Learning Engineering Tools Competition, which operates as one of the largest ed tech competitions globally and has surfaced 100+ innovations since its start.
Incubate Ambitious Initiatives. Leaders of Renaissance designed and launched the Learning Engineering Virtual Institute (LEVI), which seeks to double the rate of middle school math progress for low-income students within five years, using a mix of AI, tutoring, and related approaches. We believe that LEVI is a promising model that can be replicated to design and launch more moonshots in education, and are actively developing new LEVI-style programs.
Active Projects
Learning Engineering Virtual Institute
The Learning Engineering Virtual Institute seeks to spur deep collaboration across institutes and disciplines to drastically improve education outcomes by leveraging AI. Through the first LEVI, we established a model that can be scaled to accelerate additional moonshots in education. Building on this success, a new LEVI will launch in 2025 to advance impact in a new opportunity space and create a model for scoping and managing moonshot goals.
Tools Competition
The Tools Competition is a global multi-million dollar annual challenge to identify outstanding organizations working on innovative technology, data, and learning science to meet the urgent needs of learners.
Foundry
The Learning Engineering Foundry is a pilot structure designed as a lab for rapidly advancing ed tech innovations, ensuring they are effective and scalable before integration into the K-12 education system. The program will focus on prototyping promising innovations, tools, and datasets, taking concepts from ideation through testing, incubation, and preparation for further development outside of the Foundry.
CareerNet is an initiative to train AI systems to deliver more accurate, personalized, and equitable career guidance. From CareerVillage’s 65,000 question repository, the project will produce curated datasets in 3 domains that have high-earning potential for career navigators: healthcare professions, computer science professions, and reskilling. These datasets – composed of the most high-quality and relevant questions and answers – will be made publicly available for development of benchmarks, and for AI developers and commercial platforms to use to create new or strengthen existing tools for career exploration.
KaggleLearn
Advances in education leveraging AI require datasets that algorithms can train upon. Our team has been identifying missing datasets that could generate public impact in the field of education, building and sourcing these datasets, and then running data science competitions to create valuable algorithms for the sector. For instance, the Feedback Prize competition series yielded AI models that can support assistive writing feedback technology, and Google’s Gemini team is in the process of using the data to refine a writing assistant tool linked to their chatbot.
AI in Education Funders Collaborative
The AI in Education Funders Collaborative convenes 30+ education funders to learn about the latest AI advances and education-related funding initiatives. The goal is to help funders stay up to date and to identify opportunities for them to leverage AI within their portfolios.
Learning Engineering Community
The Learning Engineering (LE) listserv convenes ~3,000 network members, from researchers to practitioners, to share ideas and resources tied to learning science and improving education outcomes.
Team
Our team consists of education and technical experts working toward improving education outcomes.
Kumar Garg, President, Renaissance Philanthropy
Working both for President Obama and then Eric Schmidt, Kumar has been active in building out the field of learning engineering, which sits at the intersection of learning science and computer science. He previously shaped science and technology policy for the Obama Administration for nearly eight years, serving in a variety of roles in the White House Office of Science and Technology Policy (OSTP). Examples include (1) the Educate to Innovate campaign, with more than $1 billion in in-kind and philanthropic investment; (2) development of major State of the Union initiatives to train 100,000 excellent STEM teachers and bring computer science to all K–12 students; and (3) creation of iconic events such as the White House Science Fair. Prior to his time in government, Kumar worked on behalf of parents and children seeking educational reform as an education lawyer and advocate. Kumar received a BA from Dartmouth College and a law degree from Yale Law School.
Truman Liu, Program Director, LEVI Program
As Program Director for the Learning Engineering Virtual Institute (LEVI), Truman leads program implementation, including shepherding tens of millions of dollars in grant funding, tracking grantee impact, managing stakeholders (grantees, funders, partners), and building the community. Prior to LEVI, he managed education technology programs across school districts, including for 500,000+ K - 12 students at Los Angeles Unified districtwide. He gained social impact experience by working in nonprofit and philanthropic spaces across the US, Africa, and Latin America. Previously, Truman advised Fortune 500 companies as a strategic consultant; he managed complex operations for a $50B+ merger across 10,000+ employees, stood up a Fortune 100 center of excellence to standardize processes, and implemented a $25M cost reduction strategy across three continents. Truman received his MBA / MA Education from Stanford University and his BA from Georgetown University.
Ralph Abboud, Program Scientist, LEVI Program
Ralph is a Program Scientist at the Learning Engineering Virtual Institute (LEVI), working on applying large language models (LLMs) and general AI and machine learning approaches (e.g., graph neural networks, embedding models, etc.) to support LEVI grantees in their efforts to improve middle school math education. Beyond LEVI, Ralph also acts as a technical advisor on several Learning Engineering initiatives, most prominently the design and execution of technical competitions in education. Ralph holds a D.Phil. in Computer Science from the University of Oxford, specializing in graph representation learning (GRL). Before his D.Phil., Ralph completed an M.Sc. in Computer Science at the University of Oxford, studying neural approaches for program synthesis, and a B.E. in Computer Engineering from the Lebanese American University.
The Learning Agency is an operating partner of Renaissance Philanthropy, managing the implementation of key programs like the Tools Competition and Learning Engineering Virtual Institute
Ulrich Boser, CEO, The Learning Agency
Ulrich Boser is the founder of The Learning Agency. He has been an advisor to many foundations, universities, and companies. His research and writings have been influential, and his work has been featured everywhere from the front page of USA Today to The Tonight Show. Ulrich wrote a book on the science of learning titled Learn Better that was featured in many media outlets, including Wired, Slate, Vox, Fast Company, and The Atlantic. Amazon called it “the best science book of the year.” Earlier in his career, Ulrich worked as a contributing editor for U.S. News and World Report and as a researcher for the newspaper Education Week. He graduated with honors from Dartmouth College.