Graduate Courses:

 

CS 6378: Cyber-Physical Artificial Intelligence (AI)

Instructor: Meiyi Ma

Time: T & Th 2:45 - 4:00 pm

 

EDUC 7010 - Technological Innovation and AI for Learning

Instructor: Alyssa Wise 

Time: W 1:10 - 4:00 pm

 

EDUC 8830 - Advanced Qualitative Research Methods in Education - Quantitative Ethnography

Instructor: Golnaz Arastoopour Irgens

Time: T 9:30 - 12:20 pm

 

PSY 6219: Scientific Computing for Psychological and Brain Science

Instructor: Thomas Palmeris 

Time: T & Th 2:45 - 4:00 pm

 

PSY-PC 7500 / SPED 7720: Educational Language Analytics

Instructor: Scott Crossley

Time: T 4:10 - 7:05 pm

 

PSY-GS 8470: Cognitive Science to the Classroom

Instructor: Bethany Rittle-Johnson

Time: T 1:15 - 4:05 pm

 

SPED 7715: Fundamentals of Learning Analytics

Instructor: Vishesh Kumar

Time: Th 1:15 - 4:05 pm

 

Undergraduate Courses:

 

CMA / CSET 3257: Virtual Reality Design

Instructor: Ole Molvig

Time: T & Th 11:00 am - 12:15 pm

 

EDUC / MTED 3890 - Designing Computing for Learning in Classrooms and Everywhere Else 

Instructor: Vishesh Kumar

Time: T & Th 9:30 - 10:45 am

 

HIST 1590: Artificial Intelligence and Society

Instructor: Ole Molvig

Time: T & Th 2:45 - 4:00 pm

 

PSY-PC 2200: Educational Language Analytics

Instructor: Dan Levin

Time: T & Th 2:45 - 4:00 pm

 

PSY-PC 3650: Educational Language Analytics

Instructor: Scott Crossley

Time: T 4:10 - 7:05 pm

 

PSY 4219: Scientific Computing for Psychological and Brain Science

Instructor: Thomas Palmeris 

Time: T & Th 2:45 - 4:00 pm

Hosted by Drs. Cristina Zepeda and Kelley Durkin in collaboration with LIVE, Carnegie Learning, Vanderbilt’s Peabody College, and the Data Science Institute, this 10-week interdisciplinary competition is open to students of all majors, programs, and backgrounds. Participants will work in teams to explore real student interaction data from Carnegie Learning’s intelligent math platform, MATHia. Your mission: uncover patterns, predict learning outcomes, and help advance personalized math education.

 

Data Competition Prizes:

The first place team will receive $3,000 and the opportunity to publish with the PI team using their model and network with Carnegie Learning. The runner up team will receive $1,000.

Summer Discovery Program Schedule

Registration is now open for the LIVE Summer Discovery Program.
If you are an undergraduate or master's student interested in participating, please complete the form below. For any questions about the program, feel free to contact us at live@vanderbilt.edu.

You can find the latest information about the LIVE Learning Innovation Incubator and the LIVE Learning Innovation Series on our website and sign-up for our mailing list to receive periodic updates and invitations to our events.

LIVE: The Learning Innovation Incubator at Vanderbilt

Visit us online  |  Contact us

 

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