Division C - Learning and Instruction / Division C - Section 1d: Science

Xiaoming Zhai, University of Georgia

Teacher Interpretation of Artificial Intelligence–Based Assessment Reports (Poster 1) - Xiaoming Zhai, University of Georgia; Xinyu He, University of Georgia; Ehsan Latif, University of Georgia; Peng He, Michigan State University; Joseph S. Krajcik, Michigan State University; Yue Yin, University of illinois at Chicago; Christopher J. Harris, WestEd

Does Transformer Deep Learning Yield More Accurate Sores on Written Explanations Than Traditional Machine Learning? (Poster 2) - Holly Kennedy Amerman, University of Georgia; Xiaoming Zhai, University of Georgia; Ehsan Latif, University of Georgia; Peng He, Michigan State University; Joseph S. Krajcik, Michigan State University

Applying Idea Detection in Dialogue Designed to Support Integrated Revision (Poster 3) - Allison Bradford, University of California - Berkeley; Weiying Li, University of California - Berkeley; Libby F. Gerard, University of California - Berkeley; Kenneth Steimel, Educational Testing Service; Jonathan Lim-Breitbart, University of California - Berkeley; Brian Riordan, Cisco; Marcia Linn, University of California - Berkeley

Designing and Applying Scoring Rubrics for Automatically Scored Knowledge-in-Use Assessment Tasks for Instructional Decisions (Poster 4) - Peng He, Michigan State University; Namsoo Shin, Michigan State University; Holly Kennedy Amerman, University of Georgia; Xiaoming Zhai, University of Georgia; Joseph S. Krajcik, Michigan State University

Design Model for Pedagogical Content Knowledge Supports Based on Artificial Intelligence–Automated Scores (Poster 5) - Namsoo Shin, Michigan State University; Peng He, Michigan State University; Katherine Joy Nilsen, WestEd; Holly Kennedy Amerman, University of Georgia; Joseph S. Krajcik, Michigan State University; Xiaoming Zhai, University of Georgia

Using Classroom-Based Assessment Scenarios to Design Score Reports That Support Science Teaching and Learning (Poster 6) - David McKinney, WestEd; Christopher J. Harris, WestEd; Lauren Stoll; Lindsay Tanner, WestEd; Katherine Joy Nilsen, WestEd; Jessica Triant, WestEd; Gary Weiser, Bill & Melinda Gates Foundation

Development of a Next-Generation Concept Inventory With Artificial Intelligence–Based Evaluation for College Environmental Programs (Poster 7) - Kevin Haudek, Michigan State University; Chelsie Romulo, University of Northern Colorado; Steven Anderson, University of Northern Colorado; Lydia Horne, Rowan University; Ennea Fairchild-Grant, Pacific Northwest National Laboratories; Shirley Vincent, Vincent Evaluation Consulting; Amanda Manzanares, University of Northern Colorado; Emily Royse, University of Northern Colorado; Sol Adams; Heqiao Wang, Michigan State University; Caterina B. Azzarello, University of Northern Colorado

Addressing Challenges in Formative Assessment Practices by Artificial Intelligence: A Systematic Review (Poster 8) - Ruiping Huang, University of Illinois at Chicago; Yue Yin, University of illinois at Chicago; Sania Z. Zaidi, University of Illinois at Chicago; Ying Chen, Illinois Workforce and Education Research Collaborative (IWERC); Mikayla Strasser, University of Illinois at Chicago

AI-SCORER: An Artificial Intelligence–Augmented Instructional System (Poster 9) - Ehsan Latif, University of Georgia; Xiaoming Zhai, University of Georgia

Examining Students' Mathematical Evidence in Claim-Evidence-Reasoning Explanations During Science Inquiry Contexts (Poster 10) - Amy Elise Adair, Rutgers University; Rachel F. Dickler, Denver Zoo; Janice D Gobert, Rutgers University; Michael Sao Pedro, Apprendis; Joe Olsen, Rutgers University; Jessica A Owens, Rutgers University; Christine Lott, University of Rutgers

Promoting Teacher Identity Reconstruction in Artificial Intelligence–Based Assessment Practices (Poster 11) - Lehong Shi, University of Georgia

Joseph S. Krajcik, Michigan State University

Lei Liu, Educational Testing Service