数字经济和数字技术对高校大数据人才培养模式和教学理念产生了深刻影响。为了提高学生的职业素养和创新能力,并为地方经济发展提供高素质的大数据人才,本文探讨了大数据人才培养模式的改革与课程建设。提出了多元化的评价体系、动态评...数字经济和数字技术对高校大数据人才培养模式和教学理念产生了深刻影响。为了提高学生的职业素养和创新能力,并为地方经济发展提供高素质的大数据人才,本文探讨了大数据人才培养模式的改革与课程建设。提出了多元化的评价体系、动态评估机制、校企联合评估及企业导师制等创新措施,以全面提升学生的综合素质、实践能力和就业竞争力。通过校企合作、重构课程体系、优化教学方法和强化实践教学,构建了一个多维度、动态化和信息化的评价体系。实践表明,这些改革措施显著提高了学生的职业素养和创新能力,为地方经济发展提供了强有力的支持。The digital economy and digital technology have profoundly impacted the training models and teaching philosophies of big data talent in higher education institutions. To enhance students’ professional qualities and innovative abilities, and to provide high-quality big data talent for local economic development, this paper explores the reform of big data talent training models and curriculum development. It proposes innovative measures such as diversified evaluation systems, dynamic assessment mechanisms, university-enterprise joint evaluation, and the implementation of a dual-mentor system to comprehensively improve students’ overall quality, practical skills, and employability. By fostering university-enterprise cooperation, restructuring the curriculum system, optimizing teaching methods, and strengthening practical teaching, a multi-dimensional, dynamic, and information-based evaluation system is constructed. Practice has shown that these reform measures significantly enhance students’ professional qualities and innovative abilities, providing robust support for local economic development.展开更多
文摘数字经济和数字技术对高校大数据人才培养模式和教学理念产生了深刻影响。为了提高学生的职业素养和创新能力,并为地方经济发展提供高素质的大数据人才,本文探讨了大数据人才培养模式的改革与课程建设。提出了多元化的评价体系、动态评估机制、校企联合评估及企业导师制等创新措施,以全面提升学生的综合素质、实践能力和就业竞争力。通过校企合作、重构课程体系、优化教学方法和强化实践教学,构建了一个多维度、动态化和信息化的评价体系。实践表明,这些改革措施显著提高了学生的职业素养和创新能力,为地方经济发展提供了强有力的支持。The digital economy and digital technology have profoundly impacted the training models and teaching philosophies of big data talent in higher education institutions. To enhance students’ professional qualities and innovative abilities, and to provide high-quality big data talent for local economic development, this paper explores the reform of big data talent training models and curriculum development. It proposes innovative measures such as diversified evaluation systems, dynamic assessment mechanisms, university-enterprise joint evaluation, and the implementation of a dual-mentor system to comprehensively improve students’ overall quality, practical skills, and employability. By fostering university-enterprise cooperation, restructuring the curriculum system, optimizing teaching methods, and strengthening practical teaching, a multi-dimensional, dynamic, and information-based evaluation system is constructed. Practice has shown that these reform measures significantly enhance students’ professional qualities and innovative abilities, providing robust support for local economic development.
