#United States #Washington #education innovation #Digital Promise #K-12 AI

Digital Promise K-12 AI Infrastructure Program

Digital Promise has formally announced the first recipients of its ambitious K-12 AI Infrastructure Program. This innovative initiative, totaling $26 million over several years, aims to transform the integration of artificial intelligence in K-12 education. In collaboration with partners like Learning Data Insights, DrivenData, Georgetown University's Massive Data Institute, and Catalyst at Penn GSE, the program addresses a pivotal challenge: how to tailor AI tools to meet actual student learning needs and enhance real-time classroom assessments.

As AI tools permeate educational environments, many are not designed to align effectively with the ways students learn or how educators evaluate understanding. This mismatch can lead to mistrust and ineffective use of these tools in classrooms. Jean-Claude Brizard, the president and CEO of Digital Promise, emphasizes the importance of establishing a robust foundation for these technologies to prevent them from becoming obstacles rather than aids in educational advancement. He states, "Without the right foundation, AI will become another barrier to educational progress."

Strengthening Formative Assessment

The initial grant cycle of this program specifically focuses on enhancing formative assessment practices, which involve the day-to-day methods teachers use to gauge student understanding during the learning process. These practices, such as engaging classroom discussions and reviewing written assignments, are critical for driving student success. However, implementing them consistently across diverse educational settings can prove to be challenging.

By developing open-access datasets, benchmarks, and AI models, the K-12 AI Infrastructure Program seeks to facilitate better interpretation of student thinking and provide meaningful feedback throughout the learning journey. This public resource initiative not only supports developers but also raises standards for quality, accuracy, and fairness in AI applications in education.

Rebecca Griffiths, the program design director at Digital Promise, highlights the importance of community and educator involvement in shaping this initiative. Educators express a need for AI tools that comprehend the unique context of their classrooms and enhance rather than hinder their teaching efforts. Privacy and student agency remain pivotal in the design and application of these tools.

Grant Recipients and Their Projects

After a competitive review process involving multiple stakeholders—funders, researchers, developers, and educators—Digital Promise has awarded grants to four organizations for projects that will last between six to twelve months. All resulting materials will be openly licensed and freely available to the educational community. Here are the selected organizations and their specific projects:

1. Learning Equality (PI: Jamie Alexandre) – Developing a benchmark for AI identification of science misconceptions in free-form student contributions.
2. Princeton University (PI: Tammy Kwan) – Creating a pipeline for training simulated student models with fewer human-derived data inputs.
3. National Tutoring Observatory/Cornell University (PI: Allison Koenecke) – Establishing open leaderboards for benchmarking automated speech recognition within educational settings.
4. Stanford University (PI: Hariharan Subramonyam) – Building KB-TutorBench, a multimodal knowledge-building dataset aimed at enhancing AI-empowered formative assessment.

John Whitmer, a senior researcher and founder of Learning Data Insights, mentioned the rigorous selection process and is eager to see the emerging public resources from these innovative educational projects.

Looking Towards the Future

Initiatives like this are supported by several foundations, including Learning Commons, the Gates Foundation, and the Walton Family Foundation, illustrating widespread recognition of AI's potential to improve educational outcomes. Digital Promise is committed to designing and funding long-term projects that address the needs of historically underserved communities in education.

In the next few years, the program will continue to issue grants, with an anticipated total of approximately 30 awards in its lifespan, further establishing a network of publicly accessible educational resources in the realm of AI.

For more details, visit K-12 AI Infrastructure and stay informed on future developments in educational technology.

Digital Promise, as a global nonprofit, is dedicated to widening access to learning opportunities. Their mission is to collaborate with educators, researchers, and communities in designing impactful innovations in educational technology for all learners, particularly those who have faced systemic barriers to educational success.