Anhui Agricultural Science Bulletin >
2026 , Vol. 32 >Issue 5: 124 - 126
DOI: https://doi.org/10.16377/j.cnki.issn1007-7731.2026.05.029
Construction and practice of online and offline blended teaching model for Biochemistry
Received date: 2025-03-17
Online published: 2026-03-12
To optimize the teaching effect of the Biochemistry course, this study constructed an implementation scheme of online and offline blended teaching for the Biochemistry course and carried out empirical teaching research. The scheme covered the entire teaching process including pre-class preparation, in-class learning and after-class extension. In the pre-class stage, teachers formed a complementary division of labor to build an adaptive online resource system, and assisted students in efficient preview with the help of AI teaching assistants and the chaoxing learning platform. In the in-class stage, offline classroom interaction was strengthened, the classroom atmosphere was activated based on the platform, and the teaching process was optimized in combination with specific chapters. In the after-class stage, cutting-edge content and test resources were pushed, and targeted tutoring was provided through AI teaching assistants. Meanwhile, AI teaching assistants were integrated into the entire teaching chain, and a full-process assessment and evaluation system was established, in which the total score was composed of 50% process-based assessment and 50% final exam scores, with the process-based assessment covering 5 dimensions including chapter tests, online learning and classroom interaction. The empirical research was conducted on 90 students from 4 undergraduate classes of the 2022 and 2023 grades. The results showed that 99.52% of the students completed online learning and self-assessment on time, and the participation rate in offline discussions reached 98.55%. The average score of students in the final exam increased from 72.30 to 80.84, the excellent rate rose from 17.60% to 36.14%, and the achievement degree of the course teaching objectives reached more than 0.856. After the introduction of AI teaching assistants, the frequency of classroom interaction increased by 47%, the homework feedback cycle was shortened to one fifth of that of the traditional mode, and the students won many awards in various academic competitions. This study provided a reference for the blended teaching reform of similar courses.
Yan An , Zhang Haiyang , Shi Lei . Construction and practice of online and offline blended teaching model for Biochemistry[J]. Anhui Agricultural Science Bulletin, 2026 , 32(5) : 124 -126 . DOI: 10.16377/j.cnki.issn1007-7731.2026.05.029
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