2025
AAAI
AAAI 2025
Model AI Assignments 2025
Abstract
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
👥
Mega-Team
— 42 authors
🐝
Cross-Pollinator
— Artificial Intelligence, Computer Science, Computer Vision, Deep Learning, Interdisciplinary, Machine Learning, Mathematics & Optimization, Natural Language Processing, Robotics
Authors
Todd W. Neller
,
Rasika Bhalerao
,
Eun Kyung Ko
,
Vishodana Thamotharan
,
Lisa Zhang
,
Sonya Allin
,
Mahdi Haghifam
,
Michael Pawliuk
,
Rutwa Engineer
,
Florian Shkurti
,
Cunyan Ma
,
Daniella DiPaola
,
Cynthia Breazeal
,
Loreto Alonzi
,
Brian Wright
,
Ali Rivera
,
Kristin Fasiang
,
Duri Long
,
Shruthi Chockkalingam
,
Giulia Toti
,
Evan Shieh
,
Princewill Okoroafor
,
Thema Monroe-White
,
Mustafa Haiderbhai
,
Carolyn Quinlan
,
Ashwin R. Bharadwaj
,
Anio Zhang
,
Rajagopal Venkatesaramani
,
Sarah Wharton
,
John Masla
,
Lydia Guterman
,
Mary Cate Gustafson-Quiett
,
Christina Bosch
,
Samar Abu Hegley
,
Calvin Macatantan
,
Eric Klopfer
,
Hal Abelson
,
Shira Wein
,
Mercy Wairimu Gachoka
,
Li-Hsin Chang
,
Maryam Mirzaei
,
Mohammad Mahdi Ajallooeian