The Application and Practice of Artificial Intelligence Empowering Teaching Molecular Biology
10.13865/j.cnki.cjbmb.2025.03.1503
- VernacularTitle:人工智能赋能分子生物学教学的应用与实践
- Author:
Zhong-Hao LI
1
;
Hai-Feng WANG
1
;
Chun-Yang LIU
1
;
Li WANG
1
Author Information
1. 河北北方学院动物科技学院动物医学系,河北 张家口 075131
- Publication Type:Journal Article
- Keywords:
Molecular Biology;
artificial intelligence;
teaching innovation;
comparative experiment;
personalized learning
- From:
Chinese Journal of Biochemistry and Molecular Biology
2025;41(9):1369-1376
- CountryChina
- Language:Chinese
-
Abstract:
In order to investigate the teaching effectiveness of artificial intelligence(AI)in molecular bi-ology,this study selected students from the Animal Medicine major of the College of Animal Science and Technology at Hebei North University in 2022 and 2023 as research subjects.There was no significant difference in professional foundation,admission scores,and other aspects between the two grades,and they were taught by the same lecturer to ensure the reliability of research results.The 2022 students will adopt the traditional teaching mode,while the 2023 students will implement the AI-enabled teaching mode,which includes four stages:pre class exploration,in class assistance,post class learning support,and teaching reflection and improvement.Before class,the teaching team pushes teaching videos of vari-ous knowledge points in the course and relevant preview materials organized by the AI system to students to complete self-learning,and use AI systems to track students' learning difficulties.In class,the teacher uses various teaching methods such as case teaching,group discussions,AI animation demonstrations and virtual experiments,etc..Thus,they provide in-depth explanations of key contents based on the feed-back data from the intelligent learning companion AI system,promoting students' understanding of the knowledge.After class,the AI system generates personalized learning plans for students and provides dif-ferent levels of learning resources to broaden their horizons.At the same time,the AI system provides teachers with students'learning data analysis reports,and teachers can adjust and optimize their teaching plans accordingly.Research has found that students in the 2023 AI-empowered teaching class have signif-icantly higher satisfaction in multiple dimensions such as learning interest,understanding and mastery of knowledge points,and cultivation of scientific research thinking than those in the 2022 traditional teach-ing class.In terms of student participation in comprehensive activities,the proportion of 2023 students participating in subject competitions and innovation and entrepreneurship activities has significantly in-creased.In terms of academic performance,the mid-term,laboratory,and final grades of 2023 students are higher than those of 2022 students,with a significant increase in the excellence rate and a significant decrease in the failure rate.The results indicate that the application of AI technology in molecular biology teaching has stimulated students' interest in learning,helped them better understand and master knowl-edge,significantly improved their academic performance.In sum,it has a positive impact on improving teaching quality.
