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作 者:吴浩[1] 于重重[2] 孙践知[1] 张新 WU Hao;YU Chong-chong;SUN Jian-zhi;ZHANG Xin(College of Computer Science,Beijing Technology and Business University,Beijing 100048,China;College of Artificial Intelligence,Beijing Technology and Business University,Beijing 100048,China)
机构地区:[1]北京工商大学计算机学院,北京100048 [2]北京工商大学人工智能学院,北京100048
出 处:《计算机仿真》2023年第12期342-347,共6页Computer Simulation
基 金:中国高校产学研创新基金(2021LDA06002);教育部高等学校电子信息类专业教学指导委员会教改项目(2021-JG-07)。
摘 要:为满足国家新工科人才培养需求,推动在线仿真教学改革,探索了基于分层次PBL教学模式的人工智能专业在线仿真教学案例。案例以基于深度学习的无人机高铁基础设施图像检测为主要内容,在机器学习和深度学习两门课程教学中构建在线仿真教学框架。上述在线仿真教学框架以真实工程项目为背景,结合工程路径和算法模型两个问题解决路径的特点,针对不同基础学生个性化设计分层级的教学路径,提升创新思维能力,为培养“两型一化”(创新型、复合型、工程化)新工科人才提供支撑。To accommodate the training of new talents of new engineering disciplines at the national level and to promote the reform of online simulation teaching,this article explores the reform of online simulation teaching in the major of Artificial Intelligence based on the graded PBL(Problem Based Learning)teaching mode.Taking the online simulation teaching of image detection to the infrastructure of high-speed train system by drones as a case,the reform worked out the framework of online simulation teaching in two courses:Machine Learning and Deep Learning.The a⁃bove online simulation teaching framework is based on real engineering projects,combined with the characteristics of the engineering path and algorithm model problem-solving paths.For students with different foundations,personalized and graded teaching paths were designed to enhance their innovative thinking ability and provide support for cultivating new engineering talents with“two types and one mode”(innovation-orientedtalents,inter-disciplinary talents and project-based talents).
关 键 词:分层次教学模式 在线仿真教学 新工科 “两型一化”人才培养
分 类 号:G434[文化科学—教育学] TP391.9[文化科学—教育技术学]
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