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作 者:李亚兰[1] 黄健全[1] 曹江 谢文武 李磊骏[1] LI Ya-lan;HUANG Jian-quan;CAO Jian;XIE Wen-wu;LI Lei-jun(School of Physics and Electronic Electrical Engineering,Xiangnan University,Chenzhou 423000,China;School of Information Science and Engineering,Hunan Institute of Science and Technology,Yueyang 414006,China)
机构地区:[1]湘南学院物理与电子电气工程学院,湖南郴州423000 [2]湖南理工学院信息科学与工程学院,湖南岳阳414006
出 处:《电脑与信息技术》2022年第3期97-99,共3页Computer and Information Technology
基 金:湖南省社会科学成果评审委员会课题(项目编号:XSP21YBC149);2021湖南省大学生创新训练项目(项目编号:S202110545032);湘南学院电子科学与技术应用特色学科资助;湘南学院科研课题(项目编号:2020XJ60)。
摘 要:为适应当前新产业、新技术、新模式下的新经济形态,要以新工科为引导,培养具有崇高职业道德、扎实专业知识、良好工程实践素养的高素质应用型人才。《机器视觉》课程是交叉融合与工程性极强的一门新兴课程,当前教学中存在内容泛而不精、重理论轻实践、教学方法滞后和考核机制不全等问题。对此,通过更新教学理论、线上线下混合教学、项目制教学和过程考核机制等改革措施,提高了学生的学习效率,激发了学生的实践创新能力。As the characteristics of the new economic changed to be new industries,new technologies,new models and so on,Higher education should be guided by new engineering,and cultivate high-quality applied talents with lofty professional ethics,solid professional knowledge and good engineering practice quality.Machine vision is a new course with strong cross integration and engineering.At present,there are some problems in the teaching of this course,such as the content is extensive but not precise,the theory is emphasized but the practice is ignored,the teaching method lags behind and the assessment mechanism is incomplete.To solve these problems,the reform measures such as updating teaching theory,online and offline mixed teaching,project-based teaching and process assessment mechanism are adopted to improve students’ learning efficiency and stimulate students’ practical innovation ability.
分 类 号:G642[文化科学—高等教育学]
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