LIVE Learning Innovation Seminar
|
|
|
AI-Empowered Open-Ended Learning Environments in STEM Domains
|
|
|
|
LIVE faculty member, Gautam Biswas will present several advances in AI for Education centered on three contributions: open-ended learning environments (OELEs), multimodal analysis of student behavior, and conversational agents for personalized support. He will showcase OELEs for K–12 STEM classrooms that situate learning within authentic, complex problem-solving tasks to cultivate students’ critical thinking skills.
|
|
|
To understand and support learners in these settings, he and his team have introduced an end-to-end infrastructure for seamless classroom multimodal data collection, i.e., video, audio, and interaction logs, and then use deep learning and LLM-based pipelines that interpret this data to characterize students’ learning processes and use this information to help them overcome their difficulties as they are involved in learning and problem-solving tasks. Building on these analytics, he will describe the design and deployment of conversational agents that deliver timely, context-aware guidance to students, alongside AI tools that provide teachers with actionable insights for tailored instruction. Together, these systems demonstrate how AI can enhance engagement, diagnosis, and support within open-ended, inquiry-driven STEM learning. Join us Wednesday to learn more. Pizza and drinks provided.
|
|
|
LIVE Faculty Featured in Vanderbilt Research News
|
Teaching for Tomorrow: Next-Gen Learning Tools at LIVE
|
|
|
Several of LIVE's innovative learning tools were recently featured in Vanderbilt's Research News. Through these innovations, LIVE is demonstrating how AI can be a powerful tool for learning, interaction, and responsible technological development.
STEP is an interactive learning system that allows children to physically embody scientific concepts, transforming how students understand complex ideas by turning them into immersive, interactive experiences.
REED uses generative AI to support caregiver-child reading interactions by providing real-time, age-appropriate conversation prompts that encourage dialogue and engagement.
The Peabody Hub for Mindful AI Innovation provides an online platform for exploring the ethical and practical implications of artificial intelligence, showcasing student-created AI projects.
|
|
|
Tech Transfer Lunch & Learn
|
Making an Impact While Keeping Your Day Job
|
|
|
|
Vanderbilt's Center for Technology Transfer & Commercialization (CTTC) is hosting another session in their lunch and learn series. This session will be a panel of individuals from around campus where they will discuss insights into how faculty can pursue innovation and entrepreneurial activities while balancing their research, teaching, and clinical responsibilities.
Where: Vanderbilt Alumni Hall; Memorial Room
When: Thursday Nov 20, 2025 12p-1p
|
|
|
Panelists include James Weimer, Assistant Professor of Computer Science and Biomedical Engineering; Abhishek Dubey, Associate Professor of Computer Science and Computer Engineering; and Duke Herrell, Professor of Urology at Vanderbilt Medical Center. Learn more about the speakers and RSVP for the lunch by clicking below.
|
|
|
College of Connected Computing Connection
|
AI Showcase: Where Ideas Become Reality
|
|
|
|
Next month, the College of Connected Computing is hosting their fall AI Showcase: Where Ideas Become Reality. The AI Showcase provides a unique platform where ideas, technology, and people converge to demonstrate the future of artificial intelligence. Come see what’s next in the world of AI, revisit breakthroughs, and connect with the people shaping tomorrow’s intelligent systems.
When: Friday Dec 5, 2025 | 2p
Where: 1400 18th Ave S | Main Classroom
For questions or additional information, reach out to datascience@vanderbilt.edu
|
| |
Final LIVE Learning Seminar of the Semester
|
Mathematical Concepts & Their Development: A Computer Vision Approach
|
|
|
|
LIVE's final Learning Seminar for the semester welcomes Professor Shashank Varma of Georgia Tech to share his research on using computer vision models to understand the development of mathematical development. Mathematical thinking is a fundamental aspect of human cognition. Cognitive scientists have investigated the mechanisms that underlie our ability to think geometrically and numerically.
|
|
|
Prior research has shown that computer vision (CV) models trained on the unrelated task of image classification nevertheless learn latent representations of geometric and numerical concepts similar to those of adults. Building on this demonstrated cognitive alignment, the current study investigates whether CV models also show developmental alignment: whether their performance improvements across training match the developmental progressions observed in children. These finding reveal the promise – and the limitations of using CV models to understand mathematical development. Join us Wednesday Dec 3 to learn more.
|
|
|
| Dec 3
Mathematical Concepts & their Development: A Computer Vision Approach
|
Sashank Varma, Georgia Institute of Technology
|
|
|
| Jan 14, 2026
See you in the new year!
|
|
|
Explore the full lineup of the Fall 2025 events at the link below
|
|
|
You can find the latest information about the LIVE Learning Innovation Incubator and our Learning Innovation Series on our website. Got this announcement forwarded to you? Sign-up for our mailing list to receive invitations to our events and find out about our latest initiatives.
|
|
|
email us - LIVE@vanderbilt.edu
|
1400 18th Avenue South | Suite 3002 | Nashville, TN 37212 US
|
|
|
|
