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

Xiaoming Zhai, University of Georgia

Gyeonggeon Boaz Lee, National Institute of Education - Nanyang Technological University

Establishing a Need for AI-Based Formative Assessment for Open-Ended Simulation-Based Science Learning Tasks (Poster 1) - Hee-Sun Lee, Concord Consortium; Trudi Lord, Concord Consortium; Amy R. Pallant, Concord Consortium

Using AI-Based Formative Assessment and Scaffolding to Support Students’ Mathematical Practices Needed for Science (Poster 2) - Ellie R. Segan, Rutgers University; Janice D Gobert, Rutgers University; Michael Sao Pedro, Apprendis

Investigating Use of Ontologies as Part of Automated Short Answer Scoring in Science Assessments (Poster 3) - Heqiao Wang, Old Dominion University; Kevin Haudek, Michigan State University; Steven Anderson, University of Northern Colorado; Caterina B. Azzarello, University of Northern Colorado

Generating Science Analogy With the Generative Pretrained Transformer: Preservice Teachers’ Epistemic Dependence During Formative Self-Assessment (Poster 4) - Gyeonggeon Boaz Lee, National Institute of Education - Nanyang Technological University; Xiaoming Zhai, University of Georgia

Using AI to Evaluate Multimodal Formative Assessments in Physical Science (Poster 5) - Tingting Li, Washington State University; Kevin Haudek, Michigan State University; Joseph S. Krajcik, Michigan State University; Leonora Kaldaras, Texas Tech University

Developing an NLP (Natural Language Processing) Model for Student Explanations of Social Justice Science Issues (Poster 6) - Allison Bradford, University of California - Berkeley; Troy Vincent Wilson, University of California - Berkeley; Brian Riordan, Outshift by Cisco; Kenneth Steimel, Educational Testing Service; Libby F. Gerard, University of California - Berkeley; Marcia Linn, University of California - Berkeley

Integrating Instructional Strategies With Automatically Generated Assessment Reports to Support Teacher Timely Instructional Decisions (Poster 7) - Peng He, Washington State University; Namsoo Shin, Michigan State University; Mao-Ren Zeng, National Taiwan Normal University; Katherine Joy Nilsen, WestEd; David McKinney, WestEd; Christopher J. Harris, WestEd; Joseph S. Krajcik, Michigan State University; Xinyu He, University of Georgia; Xiaoming Zhai, University of Georgia

A Research of Machine Learning Automatic Assessment of Scientific Explanation in Chinese (Poster 8) - Jie Yang, Beijing Normal University; Yonghe Zheng, Beijing Normal University; Yang Gao

Artificial Intelligence for Formative Assessment: A Systematic Review (Poster 9) - Ying Chen, University of Illinois System; Ruiping Huang, University of Illinois at Chicago; Yue Yin, University of illinois at Chicago; Xiaoming Zhai, University of Georgia

Commentary: AI and Formative Assessment—The Train Has Left the Station (Poster 10) - Xiaoming Zhai, University of Georgia; Ross H. Nehm, Stony Brook University - SUNY

Joseph S. Krajcik, Michigan State University