Research on challenges and recommendations for application of artificial intelligence in Immunology education
10.3969/j.issn.1000-484X.2025.06.003
- VernacularTitle:人工智能技术在免疫学教学中的挑战及对策研究
- Author:
Enning ZHANG
1
;
Chen WANG
1
;
Zhixin ZHENG
1
;
Chonghao ZHANG
1
;
Yu HAO
1
;
Guiying PENG
1
Author Information
1. 北京中医药大学生命科学学院,北京 102488
- Publication Type:Journal Article
- Keywords:
Artificial intelligence;
Immunology;
Ethics;
Education
- From:
Chinese Journal of Immunology
2025;41(6):1290-1293
- CountryChina
- Language:Chinese
-
Abstract:
Intricate nature of Immunology teaching,characterized by diverse cellular types,complex molecular mechanisms,and highly dynamic immune responses,poses significant challenges.Utilization of artificial intelligence(AI)technology to provide personalized learning pathways and resources for Immunology education has emerged as a critical direction in contemporary educational reform.By examining current domestic application status and specific teaching practices,this article explores gap between AI technology and traditional teaching theories,analyzes issues such as deep integration and transformation of teacher's role.Special attention is also given to ethical considerations,including privacy protection,fairness and accessibility,and ethical implications of data processing.In response to these issues,authors propose a set of comprehensive recommendations,including establishing a student-centered learning model,strengthening teaching staff capabilities,improving privacy protection and algorithmic transparency,promoting educational equity,and reinforcing ethical education,aiming to support healthy and sustainable development of AI technology within Immunology education,offering valuable insights for reform and innovation of Immunology education.
