An EDM Approach to the Analysis of Students' Engagement in Online Courses from Constructs of the Transactional Distance

被引：2
|
作者：
Sedraz Silva, Joao C. [1 ]
Ramos, Jorge L. C. [1 ]
Gomes, Alex Sandro [2 ]
de Souza, Fernando d. F. [2 ]
Rodrigues, Rodrigo Lins [3 ]
Andrade Maciel, Alexandre Magno [4 ]
机构：
[1] Univ Fed Vale Sao Francisco, Juazeiro, BA, Brazil
[2] Univ Fed Pernambuco, Recife, PE, Brazil
[3] Univ Fed Rural Pernambuco, Recife, PE, Brazil
[4] Univ Pernambuco, Recife, PE, Brazil
来源：
2016 IEEE 16TH INTERNATIONAL CONFERENCE ON ADVANCED LEARNING TECHNOLOGIES (ICALT) | 2016年
关键词：
engagement; Educational Data Mining; Transactional Distance; Moodle; e-learning;
D O I：
10.1109/ICALT.2016.17
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
This study presents a proposal for the analysis of student's engagement level in an online course. Data was used from a graduate course at a Brazilian public university. The method was based on the process of Educational Data Mining (EDM) to identify transactional distance constructs in the data collected and metrics defined by Social Network Analysis (SNA) and also the use of logistic regression to obtain representative engagement models and factors that affect them. The results stated the most relevant aspects of students' engagement in the course and therefore they indicated on which factors could be made interventions to increase this engagement.
引用
收藏
页码：230 / 231
页数：2
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