A report-type plugin to indicate dropout risk in the Virtual Learning Environment Moodle

被引：3

作者：

Brito, Maria ^{[1
]}

Medeiros, Francisco ^{[2
]}

Bezerra, Ed Porto ^{[3
]}

机构：

[1] IFPB, Distance Learning Dept, Fed Technol Inst Paraiba, Joao Pessoa, PB, Brazil

[2] IFPB, Informat Dept, Fed Technol Inst Paraiba, Joao Pessoa, PB, Brazil

[3] Univ Fed Paraiba, Informat Ctr, UFPB, Joao Pessoa, PB, Brazil

来源：

2019 IEEE 19TH INTERNATIONAL CONFERENCE ON ADVANCED LEARNING TECHNOLOGIES (ICALT 2019) | 2019年

关键词：

student dropout risk; Plugin; Moodle;

D O I：

10.1109/ICALT.2019.00040

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Given the difficulty of identifying students at dropout risk from the native logs and reports of the Virtual Learning Environments (VLEs), computational methods and tools based on Learning Analytics (LA) have been researched and developed. The primary objective of this work was to develop a plugin-type tool that presents students at dropout risk using cognitive, social and behavioral indicators of students through filters, notifications and interactive graphs generated from Moodie VLE data.

引用

页码：127 / 128

页数：2

共 3 条

[1]

[Anonymous], 2016, 2016 11 LATIN AM C L

[2] CourseVis: A graphical student monitoring tool for supporting instructors in web-based distance courses [J].

Mazza, Riccardo ;

Dimitrova, Vania .

INTERNATIONAL JOURNAL OF HUMAN-COMPUTER STUDIES, 2007, 65 (02) :125-139

[3] Engagement and Disaffection in the Classroom: Part of a Larger Motivational Dynamic? [J].

Skinner, Ellen ;

Marchand, Gwen ;

Furrer, Carrie ;

Kindermann, Thomas .

JOURNAL OF EDUCATIONAL PSYCHOLOGY, 2008, 100 (04) :765-781

← 1 →