摘要
实训课程通过培养学生实践能力、创新能力和综合职业能力,为全社会提供高品质的应用型创新人才。如何对实训课程进行教学评价就成为十分重要的问题。在实训课程的教学当中引入过程性评价能够更为全面地对学生在实训过程中各个环节进行监控并及时发现问题给与反馈。以ERP实训课程为例,分析引入过程性评价的必要性并根据ERP实训课程的特点以及教学要求按照学习态度、学习过程、学习效果和创新能力4个方面来构建过程性评价指标体系。选取沈阳师范大学软件学院73名大四本科学生作为研究对象,按照所设计的评价指标体系进行相关数据的收集和整理。利用SVM(支持向量机)在小样本情况下数据处理的优势,应用Python下的sklearn模块对收集到的样本数据集进行评估,得到较好的准确率。
Through training students'practical ability,innovative ability and comprehensive professional ability,the practicum course provides the whole society with high-quality applied innovative talents.How to evaluate practicum courses has become a very important issue.Process evaluation is introduced into practicum courses,which can monitor the whole process of practicum comprehensively,and discover questions instantly and provide immediate feedback for students.Taking ERP practicum course as an example,this paper analyzes the necessity of introducing process evaluation and constructs a process evaluation system with four aspects according to the characteristics of ERP Practicum curriculum and teaching requirements:learning attitude,learning process,learning effect and innovation ability.Seventy-three senior undergraduates were selected as research objects and relevant data were collected according to the designed evaluation system.By using the advantages of SVM(support vector machine)in data processing in condition of small samples,the collected sample data sets were evaluated through sklearn module of Python and a good accuracy was obtained.
作者
王泓
WANG Hong(Software College,Shenyang Normal University,Shenyang 110034,China)
出处
《沈阳师范大学学报（自然科学版）》
CAS
2020年第5期477-480,共4页
Journal of Shenyang Normal University:Natural Science Edition
基金
辽宁省教育科学“十三五”规划项目(JG16DB411)。
