News
Leveraging Natural Language Processing to Guide Educators
UMD’s Jing Liu is using natural language processing to analyze K-12 math classroom transcripts and provide feedback to help teachers improve, finding that NLP is more effective when combined with human coaching.
TRAILS Announces Second Round of Seed Funding
Five interdisciplinary projects, funded with seed grants ranging from $115K to $150K apiece, will advance novel AI research and scholarship that can impact education, transportation, emergency preparedness and health care.
The Effects of Expanding Computer Science in High School
UMD’s Jing Liu co-authored a study demonstrating that expanding high-quality computer science courses in Maryland high schools significantly influenced students' college major choices towards computer science and improved their future earning potential.
The Potential of Artificial Intelligence to Empower Teachers and Advance Equity
UMD’s Jing Liu is PI of a project that’s developing a machine learning tool to offer real-time, actionable feedback to K-12 math teachers, with the goal of enhancing teaching practices and promoting equity in underserved classrooms.
$1.5M NSF Grant to Boost Middle School Math Learning With AI
UMD's Jing Liu and Wei Ai are part of a multi-institutional team funded by a $1.5 million NSF grant that is using AI and machine learning to assess and improve the quality of middle-grade mathematics lesson plans.