University of Maryland Opens Center for Ed-Tech Research

Studies published by the EDSI team before the center's founding demonstrate the effectiveness of automated feedback in improving instructional quality and student outcomes, especially for online learning. Recent papers by Liu and colleagues also show that AI-generated feedback can support teachers in reflecting and making data-informed improvements without the time constraints of traditional person-to-person coaching models. EDSI is also looking into how AI can complement this human feedback.

“It was important to establish a center that would both support AI use in improving teaching and learning and prepare students for an AI-infused future,” Liu said in a public statement. “We wanted a space that would allow us to look at persistent educational challenges, such as declining literacy rates, chronic absenteeism and diverse learning styles, and consider the unprecedented technological possibilities that could address these challenges.”

Another EDSI project is compiling a comprehensive database of classroom transcripts, audio, video, and student demographic and achievement data, alongside human annotations on teaching practices and classroom interactions, to inform better AI tools like M-Powering Teachers with more holistic views of what's happening in class.

To ensure research and innovation includes diverse voices, EDSI has established partnerships with school districts, including Guilford County Schools in North Carolina and San Francisco Unified School District in California, and organizations like the Research Partnership for Professional Learning. The center also serves as a hub for collaboration across the University of Maryland, bringing together experts in computer science, AI and education policy.

“All the stakeholders need to be at the table to do this work really well,” Liu said.