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AI, Assessment, and Leadership: Reimagining Educational Practice in the GenAI Era
Sun, April 12, 11:45am to 1:15pm PDT (11:45am to 1:15pm PDT), InterContinental Los Angeles Downtown, Floor: 5th Floor, Hancock Park WestSession Type: Paper Session
Sub Unit
Chair
Papers
Expert Perspectives on AI Literacy for K–12 with an Emphasis on Assessment - Teresa M. Ober, Educational Testing Service; Caitlin Tenison, ETS; Tenaha P. O'Reilly, Educational Testing Service; Beata Beigman Kelbanov, Educational Testing Service; Jesse R. Sparks, Educational Testing Service; Diego Zapata-Rivera, ETS
More than a feeling: How AI policy and educator sentiment affect AI allowance on assessment - Abby Holm, Pearson Educational Measurement; Muireann Hendriksen, Pearson Education, Inc.; Lara N. Southard, Pearson Education, Inc.; Jessica Yarbro, Pearson Education, Inc.; Emily R. Lai, Pearson
Construction of Principal's Leadership Model and Assessment Tool in Generative Artificial Intelligence Era - Lingling Gong, East China Normal University; Shuzhen Yu, East China Normal University
Multi-agent Large Language Model systems for Analyzing Elementary Students’ Constructed Response - Xunlei Qian, Michigan State University; Namsoo Shin, Michigan State University; Harvey Li, Michigan State University; Yucheng Chu, Michigan State University; Cory S. MIller, Michigan State University; Joseph S. Krajcik, Michigan State University; Jiliang Tang, Michigan State University; Yue Xing, Michigan State University
Harnessing GenAI for Automated Essay Scoring: A Multi-Agent Architecture for Large-Scale Writing Assessment - Jun Qian, East China Normal University; Jing Leng, East China Normal University; Siyu Wang, East China Normal University