Model AI Assignments 2026

Authors

  • Todd W. Neller Gettysburg College
  • Steve Geinitz Metropolitan State University of Denver
  • Kevin Wang Stanford University
  • Zach Dodds Harvey Mudd College
  • Nicholas Dodds Harvey Mudd College
  • Ryan O Connor University College Dublin
  • Aimen Taha University College Dublin
  • Ananta Manoranjan New York University Abu Dhabi
  • Saurabh Ray New York University Abu Dhabi
  • Deepak Ajwani University College Dublin
  • Fang Sun University of California, Los Angeles
  • Paul Zhang University of California, Los Angeles
  • Pranav Subbaraman University of California, Los Angeles
  • Yizhou Sun University of California, Los Angeles
  • Lisa Dunlap University of California, Berkeley
  • Taehan Kim University of California, Berkeley
  • Deena Sun University of California, Berkeley
  • Ishir Garg University of California, Berkeley
  • Mark Ogata University of California, Berkeley
  • Aakarsh Vermani University of California, Berkeley
  • Narges Norouzi University of California, Berkeley
  • Joseph Gonzalez University of California, Berkeley
  • Varada Kolhatkar The University of British Columbia

DOI:

https://doi.org/10.1609/aaai.v40i48.42128

Abstract

The Model AI Assignments session seeks to gather and disseminate the best assignment designs of the Artificial Intelligence (AI) Education community. Recognizing that assignments form the core of student learning experience, we here present abstracts of eight AI assignments from the 2026 session that are easily adoptable, playfully engaging, and flexible for a variety of instructor needs. Assignment specifications and supporting resources may be found at \url{http://modelai.gettysburg.edu}.
AAAI-26 / IAAI-26 / EAAI-26 Proceedings Cover

Downloads

Published

2026-03-14

How to Cite

Neller, T. W., Geinitz, S., Wang, K., Dodds, Z., Dodds, N., O Connor, R., … Kolhatkar, V. (2026). Model AI Assignments 2026. Proceedings of the AAAI Conference on Artificial Intelligence, 40(48), 40944–40946. https://doi.org/10.1609/aaai.v40i48.42128

Issue

Vol. 40 No. 48: EAAI-26 AI for Education, Model AI Assignments, AAAI-26 Emerging Trends, Doctoral Consortium, Student Abstracts, Undergraduate Consortium and Demonstrations

Section

EAAI Symposium: Model AI Assignments