Models developed by Teaching with AI Fellows
The videos on this page feature the work of 2024-25 Teaching with AI Fellows (TAIFs). In this program, Columbia doctoral students with advanced interest and experience with AI develop specific models for using the technology to drive an assortment of learning activities. These models, coordinated to defined learning objectives, are honed by repeated testing and a series of consultations with CTL staff, peers, and faculty.
Columbia instructors who are interested in adapting any of these models in their own classes are invited to reach out to CTL for a consultation.
Flor Barceló
Latin American and Iberian Cultures
ProfesorX
Leveraging AI to engage in a conversation in Spanish
Allows target language practice while gathering insights on student’s strengths and weaknesses.
Jin Choi
Columbia Business School
AI Business Advisor
Leveraging AI to help students develop evidence-based business strategy
Supports students’ discovery and understanding of academic research in their field.
Palden Gyal
East Asian Languages and Cultures
Logyupa
Leveraging AI to train critical historians
Teaches students how to approach primary and secondary sources for research purposes.
Tianyuan Huang
East Asian Languages and Cultures
Sounding Board
Leveraging AI to facilitate inquiry-based learning in the history classroom
Helps students develop a topic, entry point, and keywords for a research project.
Tao Long
Computer Science
ProjectExplorer
Leveraging AI to simulate an on-call TA during project work
Facilitates co-exploration and collaboration during project development
Nova Qi
Neurobiology and Behavior
You Teach Me
Leveraging AI to let students be the teachers
Encourages students to engage with course material by teaching it to others.
Bovey Rao
Neurobiology and Behavior
Synapse Scholar
Leveraging AI to guide students through their first neuroscience paper
Deepens students’ comprehension of a scientific paper by presenting the scientific method as a framework for reading it.
Joseph Romano
English and Comparative Literature
KeySearch
Leveraging AI for academic research in the humanities
Prompts students to refine humanities research questions and topics.
Ibuki Sugiura
Earth and Environmental Sciences
AI Course Planning Support
Leveraging AI to create accessible, engaging, and relatable STEM classrooms for all students
Identifies jargon to support accessible course design for non-STEM undergraduates.
Stephen Uong
Epidemiology
CodeTutorAI
Leveraging AI to personalize student learning in SAS programming
Develops foundational programming skills, with focus on syntax, logic, and practical application.
Ayesha Verma
English and Comparative Literature
Hamlet AI
Leveraging AI to engage students in dialogue with works of literature
Reviews and refines students’ comprehension of works of literature.
Hanying Wei
Political Science
Sentiment Analysis Tutor
Leveraging AI to train students in sentiment analysis
Supports students’ understanding of text analysis and its applications within their discipline.