Courses

This Fall, LIVE faculty are teaching a variety of courses for students interested in learning technologies. From Learning Analytics to Designing Computing for Learning and more, these courses provide a unique opportunity to learn from experts in the field. Find out more about each of the available courses below

Fall 2025 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 Palmeri

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

Fall 2025 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: Cognition in Context

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 Palmeri

Time: T & Th 2:45 – 4:00 pm