人工智能在“人体寄生虫学”教学中的运用  

Application of Artificial Intelligence in“Human Parasitology”Teaching

作　　者：齐艳伟 张玉红 马长玲 QI Yanwei;ZHANG Yuhong;MA Changling(Department of Pathogenic Biology and Immunology,School of Basic Medical Sciences,Guangzhou Medical University,Guangzhou 511436,China;Sino-French Hoffmann Institute,Guangzhou Medical University,Guangzhou 511436,China)

机构地区：[1]广州医科大学基础医学院病原生物学与免疫学教研室,广东广州511436 [2]广州医科大学霍夫曼免疫研究所,广东广州511436

出　　处：《医学教育研究与实践》2025年第2期264-268,共5页Medical Education Research and Practice

基　　金：广州市科学技术局基础与应用基础研究项目(202201011402);广州医科大学本科教学质量与教学改革工程建设基金资助项目(2023ZLGC041)。

摘　　要：随着科技地迅猛进步,人工智能技术正以前所未有的速度渗透到各个领域,医学教育也不例外。人工智能(Artificial Intelligence,AI)凭借其强大的数据处理与分析能力,在医学教育领域的应用逐渐成为提高教学质量和效率的重要手段。人体寄生虫学作为医学的重要分支,其教学内容复杂且涉及大量的病理学及临床诊断知识,传统的教学方法面临知识传授效率和学习互动性不足的问题。近年来,人工智能在该学科的应用逐步展现出其巨大的潜力,为教学模式带来了革新。探讨人工智能在人体寄生虫学教学中的应用潜力,并分析其优势、挑战与未来发展方向,提出人工智能辅助教学的新模式。以期望AI技术在人体寄生虫学教学中的应用能够达到显著提升教学互动性、个性化学习体验及知识掌握深度,推动医学教育创新,培养更高素质的医学人才。With the rapid advancement of science and technology,artificial intelligence(AI)is infiltrating into various fields at an unprecedented speed,and medical education is no exception.AI,with its powerful data processing and analyzing capabilities,has gradually become an important means of improving teaching quality and efficiency in the field of medical education.Human Parasitology,as an important branch of medicine,has complex teaching content involving a large amount of pathological and clinical diagnostic knowledge.Traditional teaching methods face problems such as insufficient knowledge transfer efficiency and low learning interactivity.In recent years,the application of AI in this discipline has gradually demonstrated its great potential,bringing innovation to the teaching mode.This article explores the application potential of AI in the teaching of Human Parasitology,analyzes its advantages,challenges,and future development directions,and proposes a new mode of AI-assisted teaching.It is expected that the application of AI technology in the teaching of Human Parasitology can significantly enhance teaching interactivity,personalized learning experience,and depth of knowledge acquisition,promote innovation in medical education,and cultivate higher-quality medical talents.

关 键 词：人工智能 人体寄生虫学 医学教育 技术应用 

分 类 号：G642.3[文化科学—高等教育学]