黑龙江动物繁殖2026，Vol.34Issue(3)：106-109,4.DOI:10.19848/j.cnki.ISSN1005-2739.2026.06.0016
数智赋能养羊学课程混合式教学改革初探
Preliminary exploration of blended teaching reform in Sheep Production course empowered by digital intelligence
摘要
Abstract
Sheep Production is a core application course in animal science majors at universities,addressing the subjects such as sheep products,breeds,breeding,feeding management and disease prevention and control,having high cultivation requirements for students'theoretical knowledge and practical skills.However,traditional teaching faces challenges like limited practical training facilities,a weak connection between teaching and industry,and monotonous assessment methods.In this paper,a three-in-one teaching reform framework is constructed,featuring with digital and intelligent teaching resources,multimodal teaching processes and a multi-system learning effect evaluation,by integrating digital and intelligent technologies such as big data,knowledge graphs and virtual simulation,and drawing on multidisciplinary educational reform experiences.Moreover,through leveraging the knowledge graphs,virtual simulation and digital case resources of the teaching platform,the online teaching resources are optimized,a three-stage blended classroom teaching is established consisting of online class-content preview,offline in-class practical operations,and multi-channel extension and consolidation after class,and a multi-dimensional and comprehensive digital and intelligent performance evaluation model is developed.Application results show adopting the reform-oriented teaching approach significantly increase students'learning initiative,overall course scores,and a more solid grasp of fragmented knowledge points and key and difficult content.关键词
数智赋能/养羊学/线上线下混合式教学/知识图谱/教学改革Key words
digital and intelligent empowerment/Sheep Production/online and offline blended teaching/knowledge graph/teaching reform分类
社会科学引用本文复制引用
陈勇,张宇,甄莉..数智赋能养羊学课程混合式教学改革初探[J].黑龙江动物繁殖,2026,34(3):106-109,4.基金项目
黑龙江省高等教育学会"党的二十届三中全会、2024年全国教育大会"专项课题(24GJZXC060) （24GJZXC060）
