首页|人工智能技术对医学遗传学教学的影响

人工智能技术对医学遗传学教学的影响

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医学遗传学是医学领域中迅猛发展的前沿学科,主要探讨人类遗传病发生、发展的规律,旨在为该类疾病的诊断、治疗和预防提供理论依据.近年来,随着人工智能技术的兴起,医学遗传学领域正在发生日新月异的变化,因而对医学遗传学的课程教学也提出了与时俱进的要求.人工智能技术的广泛应用,为医学遗传学的课程教学提供资源和帮助,目前人工智能技术已经逐步走向课堂内外,提高了课堂教学质量和学生上课的积极性.但是,在发展过程中依然存在很多需要思考和解决的问题:一是人工智能教学发展缓慢,二是人工智能无法赋能教学活动复杂的情感能力,三是人工智能技术在教学活动中易出现人机关系危机,四是人工智能在医学遗传学教学活动中易出现伦理问题.若要人工智能技术在医学遗传学教学活动中健康发展,必须重视和改进这些问题.同时也要意识到,教师和学生依然是教学的主体,现阶段的人工智能技术只是辅助教学的手段,只有这样才能实现以人为本、教学相长.
The impact of artificial intelligence technology on medical genetics teaching
Medical genetics,a rapidly evolving discipline in medicine,mainly explores the mechanisms of the emergence and progression of human genetic diseases,aiming to provide a theoretical foundation for the diagnosis,treatment and prevention of these diseases.In recent years,the emergence of artificial intelligence(AI)technology has revolutionized medical genetics,necessitating a contemporary approach to teach the courses.The widespread application of AI technology offers resources and support for the instruction of medical genetics courses.AI technology has gradually integrated into both classroom and extracurricular settings,enhancing the quality of classroom teaching and inspiring students'enthusiasm.How-ever,there are still many challenges that need to be addressed and resolved.First,the pace of AI-driven teaching advancements remains relatively slow.Second,it is difficult to replicate complex emotional capabilities in teaching scenarios with AI tech-nology.Third,AI technology tends to generate human-machine relationship issues in teaching.Fourth,ethical concerns also arise when utilizing AI during teaching.To apply for AI for medical genetics teaching,these issues must be addressed.Addi-tionally,it's crucial to recognize that teachers and students are the essentials in the teaching-learning process,while AI only serves as a supportive tool.Through this way,we can achieve people-oriented and mutual beneficial teaching and learning experiences.

artificial intelligence(AI)medical geneticshuman-machine interactionartificial intelligence ethics

曹秀丽、高春辰、冯蕾、赵俊龙、胡昳旸、秦鸿雁

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中国人民解放军空军军医大学基础医学院医学遗传与发育生物学教研室,陕西西安 710032

人工智能 医学遗传学 人机关系 人工智能伦理

空军军医大学校级精品课程建设项目空军军医大学基础医学院教学研究课题陕西省自然科学项目

JPKC2022-YD0092022-JCJX-KT-YB-112023-JC-QN-0917

2024

中国优生与遗传杂志
中国优生科学协会

中国优生与遗传杂志

CSTPCD
影响因子:0.527
ISSN:1006-9534
年,卷(期):2024.32(9)