Deep integration of artificial intelligence and personalized teaching strategies—taking"Immunology Course for PhD candidate"as an example
10.3969/j.issn.1000-484X.2025.06.014
- VernacularTitle:人工智能与个性化教学策略深度融合——以"博士研究生分子免疫学课程"为例
- Author:
Mingli FANG
1
;
Dong LI
;
Chen SHAO
Author Information
1. 吉林大学基础医学院分子生物学教研室,长春 130021
- Publication Type:Journal Article
- Keywords:
Artificial intelligence;
PhD candidate;
Flipped classroom;
Scientific literature
- From:
Chinese Journal of Immunology
2025;41(6):1340-1343
- CountryChina
- Language:Chinese
-
Abstract:
The development of artificial intelligence(AI)technology has promoted major changes in the field of immunology innovation and teaching reform.Traditional teaching classrooms are developing towards digital and intelligent teaching models.In order to improve high-quality education,cultivate AI thinking and comprehensive ability of graduate students,optimize current situations of traditional large classes and diversified characteristics of student,the AI technology is used to analyze the learning situation of students before class.Next,differentiated intelligence allocates digital learning materials according to the results of pre-class survey analysis,adopts"Research on scientific literature-based flipped classroom"teaching methods,carries out differentiated assessment methods,and finally the personalized teaching mode of doctoral students is implemented.This teaching strategy of deep integration of artificial intelligence and personalization can provide theoretical support and practical guidance for the subsequent reform and innovation in the immunology classroom and meet the needs of personalized training for PhD doctoral talents.
