Using Few-Shot Learning Materials of Multiple SPOCs to Develop Early Warning Systems to Detect Students at Risk

International Review of Research in Open and Distributed Learning

article

Yung-Hsiang Hu¹ 

[1] National Yunlin University of Science and Technology

关键词: precision education;    SPOC;    early warning system;    portability of prediction model;    LMS;   

DOI  :  10.19173/irrodl.v22i4.5397

学科分类：社会科学、人文和艺术（综合）

来源: Athabasca University Press

【 摘 要 】

Early warning systems (EWSs) have been successfully used in online classes, especially in massive open online courses, where it is nearly impossible for students to interact face-to-face with their teachers. Although teachers in higher education institutions typically have smaller class sizes, they also face the challenge of being unable to have direct contact with their students during distance teaching. In this research, we examined the online learning trajectories of students participating in four small private online courses that were all taught by one teacher. We collected relevant data of 1,307 students from the campus learning management system. Subsequently, we constructed 18 prediction models, one for each week of the course, to develop an EWS for identifying students in online asynchronous learning at risk of failing (i.e., students who fail their final examination). Our results indicated that the fifth-week model successfully predicted student performance, with an accuracy exceeding 83% from the eighth week onward.

【 授权许可】

CC BY