Design of Online Open Course for Analytical Chemistry Experiments Based on Intelligent Data Analysis

DOI: https://doi.org/10.62517/jnse.202517511

Author(s)

Jiao Yurong1, Liu Yuetao2, Wen Junfeng1

Affiliation(s)

1School of Chemistry and Chemical Engineering, Yulin University, Yulin, Shaanxi, China 2Yulin No. 3 Senior High School, Yulin, Shaanxi, China *Corresponding Author

Abstract

To address the challenges of insufficient intelligent support, inadequate personalized guidance, and inefficient teaching effect evaluation in current online open courses for analytical chemistry experiments, this study aims to construct a scientific and efficient online teaching system integrated with intelligent data analysis. the research adopts a combination of literature research, demand analysis, and system design methodology, leveraging core technologies such as machine learning, data mining, and educational data analytics. the process involves first clarifying the teaching objectives and learner needs of analytical chemistry experiments through questionnaire surveys and expert interviews, then constructing the course's overall framework including theoretical teaching, virtual simulation, and experimental data analysis modules. Intelligent data analysis models are integrated to realize functions such as real-time monitoring of learning behavior, adaptive recommendation of learning resources, and quantitative evaluation of experimental operation proficiency. Finally, the course is verified through pilot application and data feedback optimization. the results show that the designed online open course effectively improves the interactivity and personalization of analytical chemistry experiment teaching, enhances learners' experimental design and data processing capabilities, and provides a data-driven solution for the reform and innovation of higher education experimental teaching. This study enriches the application scenarios of intelligent data analysis in chemical experimental teaching and offers a feasible reference for the design and development of similar online open courses.

Keywords

Intelligent Data Analysis; Analytical Chemistry Experiments; Online Open Course; Course Design; Teaching Innovation

References

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