面向人工智能专业研究生培养的案例-项目驱动教学方法  

作　　者：邓武 赵慧敏 徐俊洁 赵珍 

机构地区：[1]中国民航大学,天津300300

出　　处：《高教学刊》2024年第28期50-53,58,共5页Journal of Higher Education

基　　金：中央高校基本科研业务费项目“理工科硕士学位论文质量评价指标体系的构建与实施研究”(SKZ53420240026);中国民航大学研究生教育改革与研究重点项目“大数据与人工智能专业硕士研究生实践教学模式与创新能力研究”(无编号)。

摘　　要：随着信息技术的高速发展,国家需要对接企业需求的大数据与人工智能技术高素质创新人才。高校作为人才培养的重要基地,电子信息领域大数据与人工智能方向专业硕士研究生培养要以高新技术产业需求为出发点,培养工程应用型人才。因此,该文结合学生兴趣创新工程实践教学方式和手段,明确案例-项目驱动教学方法在专业硕士研究生人才培养中的重要作用,提出以案例-项目促进实践教学的有效方法,实现将复杂抽象概念用具体生动案例-项目诠释,促进大数据、人工智能与实际项目紧密结合。应用结果表明,案例-项目驱动的教学方法可有效提升专业硕士研究生的综合素质,缓解高新技术领域对大数据与人工智能人才的需求,促进国家经济转型升级和可持续发展。With the rapid development of information technology,the country needs high-quality innovative talents in big data and artificial intelligence technology that meet the needs of enterprises.Colleges and universities are important bases for talent cultivation.The cultivation of master's degree candidates in the electronic information,big data and artificial intelligence should be based on the needs of high-tech industries and cultivate engineering application-oriented talents.Therefore,students'interests in innovative engineering practical teaching methods and means are combined,the important role of case-project-driven teaching methods is clarified in the cultivation of professional master's degree graduates in this paper.An effective method is proposed to promote practical teaching through case-project,and the interpretation of complex abstract concepts with concrete and vivid cases/projects is realized.The close integration of big data,artificial intelligence,and actual projects is promoted.The application results show that the case-project-driven teaching method can effectively improve the comprehensive quality of professional master's degree students,alleviate the demand for big data and artificial intelligence talents in the high-tech field,and promote the transformation,upgrading,and sustainable development of the national economy.

关 键 词：大数据与人工智能方向 案例-项目驱动 培养模式 教育教学 创新能力 

分 类 号：G642[文化科学—高等教育学]