A Preliminary Study on the Learning Assessment in Massive Open Online Courses

被引:2
|
作者
Yuan, Quan [1 ]
Gao, Qin [1 ]
Chen, Yue [1 ]
机构
[1] Tsinghua Univ, Dept Ind Engn, Beijing 100084, Peoples R China
来源
CROSS-CULTURAL DESIGN | 2017年 / 10281卷
基金
中国国家自然科学基金;
关键词
MOOC; Learning assessment; Test method; Grading;
D O I
10.1007/978-3-319-57931-3_47
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Massive Open Online Course (MOOC) is a new online education form. MOOC aims to provide the advance systematic educations to the public and share the access to the best high educations to Internet users. Although the MOOC platform contained many video lessons of high-quality courses from famous universities around the world, the assessment of students' learning, including testing methods, grading methods and feedback to student, was unsatisfactory according to XuetangX, an xMOOC websites leading by Tsinghua University in China. Setting effective and satisfactory assessment methods to test and grade students' learning performance in MOOC has significant values for all stakeholders including instructors, students and the MOOC platform. An interview study was conducted to understanding the current situation of assessments and the opinions towards different types of assessment methods from both instructors and students. We interviewed five teachers, eight course assistants of different categories of MOOCs in XuetangX, and six students from different MOOC platforms. Some conclusions and suggestions about the assessment on students' learning performance in different categories of MOOCs were drawn in the study. The findings in the study can be referred as guidelines for instructors to design great assessment methods in different MOOCs.
引用
收藏
页码:592 / 602
页数:11
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