<?xml version="1.1" encoding="utf-8"?>
<article xsi:noNamespaceSchemaLocation="http://jats.nlm.nih.gov/publishing/1.1/xsd/JATS-journalpublishing1-mathml3.xsd" dtd-version="1.1" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"><front><journal-meta><journal-id journal-id-type="publisher-id">SDME</journal-id><journal-title-group><journal-title>Scientific Development of Modern Education</journal-title></journal-title-group><issn>2998-9027</issn><eissn>2998-9043</eissn><publisher><publisher-name>Art and Technology</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.61369/SDME.2026080043</article-id><article-categories><subj-group subj-group-type="heading"><subject>Article</subject></subj-group></article-categories><title>新农科背景与国家智慧农业发展战略导向下“兽医学+ 人工智能”复合人才教学改革的研究与实践</title><url>https://artdesignp.com/journal/SDME/3/8/10.61369/SDME.2026080043</url><author>高翔,王颢然,王洪斌,肖建华</author><pub-date pub-type="publication-year"><year>2026</year></pub-date><volume>3</volume><issue>8</issue><history><date date-type="pub"><published-time>2026-02-20</published-time></date></history><abstract>在国家大力推进新农科建设和智慧农业发展的战略背景下，兽医信息学作为动物医学与信息技术交叉融合的新兴课程，面临着教学内容更新、教学方法创新和人才培养模式转型的迫切需求。本文分析当前兽医信息学教学中存在的主要问题，总结东北农业大学兽医信息学课程教学改革实践经验，基于个性化学习理论、建构主义学习理论和智能导师系统理论，构建了&amp;ldquo;理论教学&amp;mdash; 智能实训&amp;mdash; 实践服务&amp;rdquo;协同育人体系。通过将人工智能、大数据分析、地理信息系统等新一代信息技术融入教学内容，建设兽医信息学精品课程资源，主编相关&amp;ldquo;十四五&amp;rdquo;规划教材，开展畜牧一线智能诊疗服务等举措，有效提升了学生的创新实践能力和解决复杂兽医临床问题的能力，为培养具备&amp;ldquo;兽医学+ 人工智能&amp;rdquo;复合背景的高素质人才提供了可借鉴的教学改革经验。</abstract><keywords>新农科,智慧农业,兽医信息学,教学改革,人工智能,个性化学习</keywords></article-meta></front><body/><back><ref-list><ref id="B1" content-type="article"><label>1</label><element-citation publication-type="journal"><p>[1]Hallquist E, Gupta I, Montalbano M, et al. Applications of Artificial Intelligence in Medical Education: A Systematic Review[J]. Cureus, 2025, 17(3): e79878.[2] 华松. 兽医信息学的发展和应用[J]. 畜牧兽医杂志,2015,34(05):91-93.[3] 王靖飞, 姜永萍. 兽医信息学[J]. 动物医学进展,2002,(03):110-113.[4]Prensky M. Digital Natives, Digital Immigrants[J]. On the Horizon, 2001, 9(5): 1-6.[5]Wartman S A, Combs C D. Medical Education Must Move from the Information Age to the Age of Artificial Intelligence[J]. Academic Medicine, 2018, 93(8): 1107-1109.[6] 教育部. 高等学校课程思政建设指导纲要[Z]. 2020.[7] 肖建华. 兽医信息学（第二版）[M]. 北京: 中国农业出版社, 2023.[8]Luckin R, Holmes W, Griffiths M, et al. Intelligence Unleashed: An Argument for AI in Education[M]. London: Pearson, 2016.[9]Zawacki-Richter O, Mar&amp;iacute;n V I, Bond M, et al. Systematic Review of Research on Artificial Intelligence Applications in Higher Education[J]. International Journal of Educational Technology in Higher Education, 2019, 16(1): 1-27.[10]Piaget J. The Psychology of Intelligence[M]. London: Routledge, 2001.</p><pub-id pub-id-type="doi"/></element-citation></ref></ref-list></back></article>
