1 citations · 1 across the 4 of their papers we have counts for
4 papers
Comparing student performance on a multi-attempt asynchronous assessment to a single-attempt synchronous assessment in introductory level physics
Emily Frederick, Zhongzhou Chen
The current paper examines the possibility of replacing conventional synchronous single-attempt exam with more flexible and accessible multi-attempt asynchronous assessments in int…
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…
Reforming Physics Exams Using Openly Accessible Large Isomorphic Problem Banks created with the assistance of Generative AI: an Explorative Study
Zhongzhou Chen, Emily Frederick, Colleen Cui +4
This paper explores using large isomorphic problem banks to overcome many challenges of traditional exams in large STEM classes, especially the threat of content sharing websites a…
A Multi-Level Trace Clustering Analysis Scheme for Measuring Students' Self-Regulated Learning Behavior in a Master-Based Online Learning Environment
Tom Zhang, Michelle Taub, Zhongzhou Chen
The study introduces a new analysis scheme to analyze trace data and visualize students' self-regulated learning strategies in a mastery-based online learning modules platform. The…