Model AI Assignments 2025
: Neller, Todd W.; Bhalerao, Rasika; Ko, Eun Kyung; Thamotharan, Vishodana; Zhang, Lisa; Allin, Sonya; Haghifam, Mahdi; Pawliuk, Michael; Engineer, Rutwa; Shkurti, Florian; Ma, Cunyan; DiPaola, Daniella; Breazeal, Cynthia; Alonzi, Loreto; Wright, Brian; Rivera, Ali; Fasiang, Kristin; Long, Duri; Chockkalingam, Shruthi; Toti, Giulia; Shieh, Evan; Okoroafor, Princewill; Monroe-White, Thema; Haiderbhai, Mustafa; Quinlan, Carolyn; Bharadwaj, Ashwin R.; Zhang, Anio; Venkatesaramani, Rajagopal; Wharton, Sarah; Masla, John; Guterman, Lydia; Gustafson-Quiett, Mary Cate; Bosch, Christina; Hegley, Samar Abu; Macatantan, Calvin; Klopfer, Eric; Abelson, Hal; Wein, Shira; Gachoka, Mercy Wairimu; Chang, Li-Hsin; Mirzaei, Maryam; Ajallooeian, Mohammad Mahdi
: Walsh, Toby; Shah, Julie; Kolter, Zico
: AAAI Conference on Artificial Intelligence
Publisher: American Association for Artificial Intelligence (AAAI) Press
: 2025
Proceedings of the AAAI Conference on Artificial Intelligence
: Proceedings of the 39th Annual AAAI Conference on Artificial Intelligence: Vol. 39 No. 28: IAAI-25, EAAI-25, AAAI-25 Student Abstracts, Undergraduate Consortium and Demonstrations
Proceedings of the AAAI Conference on Artificial Intelligence
: 39
: 28
: 29238
: 29241
: 978-1-57735-897-8
: 2159-5399
: 2374-3468
DOI: https://doi.org/10.1609/aaai.v39i28.35198
: https://doi.org/10.1609/aaai.v39i28.35198
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
