Incubating the Use of Artificial Intelligence for Conducting High-Quality Research Syntheses

Staying up to date on new research findings is an increasingly daunting task for researchers, with scientific literature doubling roughly every 15 to 20-years. Synthesis researchers, too, face growing resource constraints as the size of extant literatures grow. To help mitigate associated challenges, this project will build the foundation and collaborations for using the latest advances in Artificial Intelligence (AI) to transform research synthesis in STEM education.

This project tackles a critical bottleneck in how science, technology, engineering, and mathematics (STEM) education researchers can build on each other’s work. AI can serve as a powerful assistant to human researchers, helping by automating some of the mundane, repetitive tasks of synthesizing vast amounts of academic literature. Human content experts can then spend more time in interpreting knowledge, while also serving as a vital “human in the loop” to uphold trustworthiness and ethical standards in validating the output of AI-based tools.

This infrastructure will transform the speed and scale of research syntheses, while also democratizing access to the resources needed to conduct high-quality syntheses and spurring advances in broader researcher ecosystems.

This Midscale Research Infrastructure Incubator will develop new interdisciplinary collaborations across synthesis methodologists, AI researchers, software developers and engineers, and STEM education researchers. The Incubator team will craft a consensus plan for infrastructure development through a structured process within three working groups: (1) evaluating and comparing existing AI tools, (2) creating open-source technical architectures, and (3) developing applications for STEM education researchers.

This project intends to work toward an integrative, community-based, and ethical vision that leverages and significantly expands on related existing efforts that are presently disjointed. The NSF-funded and freely available MetaReviewer platform will serve as the team’s guiding focus for integration. The incubator team will also continue to seek additional partnerships that could benefit through shared open-source code and tools.

This project is supported through a partnership with the Bill & Melinda Gates Foundation, Schmidt Futures, and the Walton Family Foundation. Funding is also provided by the Discovery Research preK-12 program (DRK-12) program. The Discovery Research preK-12 program (DRK-12) is an applied research program that seeks to significantly enhance the learning and teaching of science, technology, engineering, and mathematics (STEM) by preK-12 students and teachers.

Projects in the DRK-12 program build on fundamental research in STEM education and prior research and development efforts that provide theoretical and empirical justification for funded projects.

This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.