Research on the Application of AI-Empowered Test Difficulty Assessment: An Empirical Study of the First Law of Thermodynamics
Li Peng1，Xin Bingjing2*
1、College of Science, Beihua University, Jilin Jilin 132013；2、School of Resources and Environmental
Engineering, Jilin Institute of Chemical Technology, Jilin Jilin 132022
Abstract: In the teaching process, exercise practice constitutes the most critical component. However, the difficulty of exercises varies significantly. To enable teachers to assign homework of appropriate difficulty levels, establishing a scientific difficulty evaluation system is particularly essential. We employs an AI-based difficulty evaluation equation specifically designed for exercises on the First Law of Thermodynamics to classify their difficulty levels. Through testing on the Superstar Learning Platform with two cohorts of students, the difficulty coefficient is calibrated by integrating a correction term ε and student test results, ultimately establishing a scientific and efficient exercise difficulty evaluation system.
李鹏, 辛丙靖. AI赋能题库难度评价系统应用研究以热力学第一定律为例[J]. 吉林化工学院学报, 2025, 42(10): 1-3.
Li Peng, Xin Bingjing. Research on the Application of AI-Empowered Test Difficulty Assessment: An Empirical Study of the First Law of Thermodynamics. Journal of Jilin Institute of Chemical Technology, 2025, 42(10): 1-3.
