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AAAI 2025official proceedings
Model AI Assignments 2025
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
PDF 由论文原始站点提供，PaperCompass 不保存论文文件。DOI 10.1609/aaai.v39i28.35198 ↗
摘要
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