Developing a Dual Dashboard Early Detection System

被引：3

作者：

Ada, Mireilla Bikanga ^{[1
]}

Turinicova, Katarina ^{[1
]}

机构：

[1] Univ Glasgow, Sch Comp Sci, Glasgow, Lanark, Scotland

来源：

2020 IEEE 20TH INTERNATIONAL CONFERENCE ON ADVANCED LEARNING TECHNOLOGIES (ICALT 2020) | 2020年

关键词：

learning analytics; at-risk student; higher education; early warning systems; early detection systems;

D O I：

10.1109/ICALT49669.2020.00052

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper describes the development of 'StudentsAtRisk', a prototype early detection system. It is based on engagement with course materials and can be used to identify students who are falling behind by automatically flagging them. The system also allows instructors to flag these students manually. On their dashboard, students can flag themselves, as engagement with the material might not reveal all those who struggle.

引用

页码：155 / 157

页数：3

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