Zhengzhou University's National Chemical Experimental Teaching Demonstration Center has recently made significant progress in experimental teaching innovation. To address challenges in traditional silica dioxide precipitation experiments, the center introduced machine learning and computer vision technologies. By recognizing indicator color changes and autonomously adjusting the pH of the reaction system, the experiment achieved intelligent control over the precipitation process, enhancing product quality and deepening students' understanding of precipitation mechanisms.
The project, which won the first prize in the 5th National College Student's Chemical Experiment Innovative Design Contest, is set to pilot in the fall semester of 2025 for chemistry honors students. The project will later be incorporated into the course system to continually optimize experimental content and teaching methods.
The educational achievement, titled "Integrating Computer Vision into the SiO2 Precipitation Synthesis Experiment: Digital Innovation Enhancing Chemistry Education", was published in the prestigious international chemistry education journal Journal of Chemical Education.
The paper, authored by a team of chemistry honors undergraduates led by Gao Yifei, a 2022 graduate, highlights Zhengzhou University's commitment to innovative chemistry education. It follows their previous publication in the same journal in 2023. This accomplishment underscores the university's continuous exploration and innovation in the field of chemical laboratory education.