1 citations · 1 across the 4 of their papers we have counts for
4 papers
Confidence-Aware Automated Assessment of Student-Drawn Scientific Models
Luyang Fang, Yingchuan Zhang, Jongchan Park +3
Student-generated drawings are widely used in science education to assess learners' conceptual understanding in modeling-based tasks aligned with the Next Generation Science Standa…
ArguAgent: AI-Supported Real-Time Grouping for Productive Argumentation in STEM Classrooms
Jennifer Kleiman, Yizhu Gao, Xin Xia +4
Argumentation is a core practice in STEM education, but its productivity depends on who participates and how they interact. Higher-achieving students often dominate the talk and de…
Science Literacy: Generative AI as Enabler of Coherence in the Teaching, Learning, and Assessment of Scientific Knowledge and Reasoning
Xiaoming Zhai, James W. Pellegrino, Matias Rojas +4
This chapter examines the potential of generative AI in enhancing science literacy across the K-16+ grade span, including its benefits as well as the conceptual and practical chall…
Developing a Multi-Agent System to Generate Next Generation Science Assessments with Evidence-Centered Design
Yaxuan Yang, Jongchan Park, Yifan Zhou +1
Contemporary science education reforms such as the Next Generation Science Standards (NGSS) demand assessments to understand students' ability to use science knowledge to solve pro…