collaborators

5 papers

cs.AI2026

SciEval: A Benchmark for Automatic Evaluation of K-12 Science Instructional Materials

Zhaohui Li, Peng He, Zhiyuan Chen +4

The need to evaluate instructional materials for K-12 science education has become increasingly important, as more educators use generative AI to create instructional materials. Ho…

cs.CY2026

Can Multimodal LLMs See Science Instruction? Benchmarking Pedagogical Reasoning in K-12 Classroom Videos

Yixuan Shen, Peng He, Honglu Liu +6

K-12 science classrooms are rich sites of inquiry where students coordinate phenomena, evidence, and explanatory models through discourse; yet, the multimodal complexity of these i…

cs.AI2026

How Uncertain Is the Grade? A Benchmark of Uncertainty Metrics for LLM-Based Automatic Assessment

Hang Li, Kaiqi Yang, Xianxuan Long +9

The rapid rise of large language models (LLMs) is reshaping the landscape of automatic assessment in education. While these systems demonstrate substantial advantages in adaptabili…

cs.CY2026

DrawSim-PD: Simulating Student Science Drawings to Support NGSS-Aligned Teacher Diagnostic Reasoning

Arijit Chakma, Peng He, Honglu Liu +4

Developing expertise in diagnostic reasoning requires practice with diverse student artifacts, yet privacy regulations prohibit sharing authentic student work for teacher professio…

cs.CY2026

Judging the Judges: Human Validation of Multi-LLM Evaluation for High-Quality K--12 Science Instructional Materials

Peng He, Zhaohui Li, Zeyuan Wang +2

Designing high-quality, standards-aligned instructional materials for K--12 science is time-consuming and expertise-intensive. This study examines what human experts notice when re…