基于SPOC的农业信息人才培养模式研究

Research on the Training Mode of Agricultural Information Talents Based on SPOC

大数据和智慧农业建设对农业信息人才提出了新的要求,既要具备扎实计算机技术,还要同时掌握数据处理,具有农业领域业务分析与实践整合能力。为进一步培养学生的实践能力,提高教学质量,本文结合黑龙江八一农垦大学计算机科学与技术专业建设实际,以Python语言基础课程为例进行探索和实践,探讨如何根据社会对计算机专业人才的需求状况,利用SPOC课程,优化课程体系,形成有农业特色的信息人才培养模式,提高学生实践能力与质量。

The construction of big data and smart agriculture puts forward new requirements for agricultural information talents,which requires not only solid computer technology,but also mastering data processing,and the ability of business analysis and practice integration in the agricultural field.In order to further cultivate students'practical ability and improve the quality of teaching,this paper,based on the construction of computer science and technology specialty in Heilongjiang Bayi Agricultural University,taking Python language foundation course as an example to explore and practice,and discussed how to use SPOC course to optimize the curriculum system according to the social demand for computer professionals,to form the training mode of information talents with agricultural characteristics and improve the practical ability and quality of students.