数据驱动的SPOC教学模式下学习质量评价体系构建  

Construction of A Data-Driven Learning Quality Evaluation System of SPOC Teaching Mode

作　　者：王树梅[1] 杜明[1] WANG Shu-mei;DU Ming(School of Computer Science and Technology,Jiangsu Normal University,Xuzhou 221116,China)

机构地区：[1]江苏师范大学计算机科学与技术学院,江苏徐州221116

出　　处：《软件导刊》2021年第5期197-200,共4页Software Guide

基　　金：国家自然科学基金青年科学基金项目(61602218)。

摘　　要：在传统SPOC教学模式实践过程中,期末考试成绩是学生学习质量评价主要和决定性因素,质量评价缺乏综合性、客观性。因此提出数据驱动的学习质量评价体系。通过收集和分析各教学阶段数据,对学生学习效果进行形成性评价,以推进SPOC教学模式、深化教育改革。以数据结构课程SPOC教学为例,以2019级计算机专业学生为研究对象进行分析。研究数据表明,该方案可客观真实全面反映学生学习课程状况。通过学习过程中的数据,教师可对SPOC教学模式进行实时改进,获得良好效果。In the practice of traditional SPOC teaching mode,the final examination score is the main and decisive factor of students’learning quality evaluation,which lacks comprehensiveness and objectivity.A data-driven learning quality evaluation system is therefore proposed.By collecting and analyzing the data of each teaching stage,the formative evaluation of students’learning effect is carried out to promote the SPOC teaching mode and deepen the education reform.Taking SPOC teaching of“data structure”as an example and 2019 grade computer majors as the research object,the research data shows that this scheme can objectively and truly reflect the students’learning situation of this course.Through the data in the learning process,the SPOC teaching mode can be improved in real time by teachers,and good results are obtained.

关 键 词：SPOC教学模式 数据结构 教育评价 数据驱动 

分 类 号：G434[文化科学—教育学]