activity
20232026
most citedExploring Generative AI assisted feedback writing for students' written responses to a physics conceptual question with prompt engineering and few-shot learning

100 citations · 132 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CY2026

Scalable Generation and Validation of Isomorphic Physics Problems with GenAI

Naiming Liu, Leo Murch, Spencer Moore +4

Traditional synchronous STEM assessments face growing challenges including accessibility barriers, security concerns from resource-sharing platforms, and limited comparability acro…

physics.ed-ph2025★ 5 cited

Opportunities and Challenges in Harnessing Digital Technology for Effective Teaching and Learning

Zhongzhou Chen, Chandralekha Singh

Most of today's educators are in no shortage of digital and online learning technologies available at their fingertips, ranging from Learning Management Systems such as Canvas, Bla…

cs.CY2024★ 2 cited

Atomic Learning Objectives Labeling: A High-Resolution Approach for Physics Education

Naiming Liu, Shashank Sonkar, Debshila Basu Mallick +2

This paper introduces a novel approach to create a high-resolution "map" for physics learning: an "atomic" learning objectives (LOs) system designed to capture detailed cognitive p…

physics.ed-ph2024★ 25 cited

Using Large Language Models to Assign Partial Credit to Students' Explanations of Problem-Solving Process: Grade at Human Level Accuracy with Grading Confidence Index and Personalized Student-facing Feedback

Zhongzhou Chen, Tong Wan

This study examines the feasibility and potential advantages of using large language models, in particular GPT-4o, to perform partial credit grading of large numbers of student wri…

physics.ed-ph2024

Achieving Human Level Partial Credit Grading of Written Responses to Physics Conceptual Question using GPT-3.5 with Only Prompt Engineering

Zhongzhou Chen, Tong Wan

Large language modules (LLMs) have great potential for auto-grading student written responses to physics problems due to their capacity to process and generate natural language. In…

physics.ed-ph2023★ 100 cited

Exploring Generative AI assisted feedback writing for students' written responses to a physics conceptual question with prompt engineering and few-shot learning

Tong Wan, Zhongzhou Chen

Instructor's feedback plays a critical role in students' development of conceptual understanding and reasoning skills. However, grading student written responses and providing pers…