Model AI Assignments 2025

Authors

  • Todd W. Neller Gettysburg College
  • Rasika Bhalerao Northeastern University
  • Eun Kyung Ko National Louis University
  • Vishodana Thamotharan National Louis University
  • Lisa Zhang University of Toronto
  • Sonya Allin York University
  • Mahdi Haghifam Northeastern University
  • Michael Pawliuk University of Toronto
  • Rutwa Engineer University of Toronto
  • Florian Shkurti University of Toronto
  • Cunyan Ma Brown University
  • Daniella DiPaola Massachusetts Institute of Technology
  • Cynthia Breazeal Massachusetts Institute of Technology
  • Loreto Alonzi University of Virginia
  • Brian Wright University of Virginia
  • Ali Rivera University of Virginia
  • Kristin Fasiang Northwestern University
  • Duri Long Northwestern University
  • Shruthi Chockkalingam University of British Columbi
  • Giulia Toti University of British Columbi
  • Evan Shieh Young Data Scientists League
  • Princewill Okoroafor Cornell University
  • Thema Monroe-White George Mason University
  • Mustafa Haiderbhai University of Toronto
  • Carolyn Quinlan University of Toronto
  • Ashwin R. Bharadwaj Northeastern University
  • Anio Zhang Northeastern University
  • Rajagopal Venkatesaramani Northeastern University
  • Sarah Wharton Massachusetts Institute of Technology
  • John Masla Massachusetts Institute of Technology
  • Lydia Guterman Massachusetts Institute of Technology
  • Mary Cate Gustafson-Quiett Massachusetts Institute of Technology
  • Christina Bosch Massachusetts Institute of Technology
  • Samar Abu Hegley Massachusetts Institute of Technology
  • Calvin Macatantan Massachusetts Institute of Technology
  • Eric Klopfer Massachusetts Institute of Technology
  • Hal Abelson Massachusetts Institute of Technology
  • Shira Wein Amherst College
  • Mercy Wairimu Gachoka University of Eastern Finland
  • Li-Hsin Chang University of Turku
  • Maryam Mirzaei NorQuest College
  • Mohammad Mahdi Ajallooeian NorQuest College

DOI:

https://doi.org/10.1609/aaai.v39i28.35198

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 thirteen AI assignments from the 2025 session that are easily adoptable, playfully engaging, and flexible for a variety of instructor needs. Assignment specifications and supporting resources may be found at http://modelai.gettysburg.edu

Downloads

Published

2025-04-11

How to Cite

Neller, T. W., Bhalerao, R., Ko, E. K., Thamotharan, V., Zhang, L., Allin, S., … Ajallooeian, M. M. (2025). Model AI Assignments 2025. Proceedings of the AAAI Conference on Artificial Intelligence, 39(28), 29238–29241. https://doi.org/10.1609/aaai.v39i28.35198