News
AI Goes to School for Math-Instruction Study
UMD’s Jing Liu is leading a three-year, $4.5M project to use AI and real-world classroom data to identify effective teaching practices and boost struggling middle-school math performance.
UMD Faculty Member Co-Hosts Workshop to Advance Automated Speech Recognition Systems Used for Education
UMD’s Jing Liu helped organize the event, which focused on improving the volume and quality of speech datasets used for children’s education.
Artificial Intelligence is Being used in Schools, But Statewide Guidance is a Work in Progress
UMD’s Jing Liu told Maryland Matters that evidence-based research needs to be done quickly to help inform policymakers and school district leaders on how to design AI policy, which should include certain tools used to meet education standards and guardrails to ensure appropriate uses.
UMD Researchers Build AI Database to Improve Math Learning Outcomes
Supported by a $4.5 million grant from philanthropic organizations, Jing Liu and Wei Ai are creating an open-source, high-quality dataset of classroom recordings that can be used to accelerate AI-driven outcomes for K–12 math education.
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.