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

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 dat...

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Bibliographic Details
Published in2016 IEEE 16th International Conference on Advanced Learning Technologies (ICALT) pp. 230 - 231
Main Authors Silva, Joao C. Sedraz, Ramos, Jorge L. C., Rodrigues, Rodrigo Lins, Gomes, Alex Sandro, Da Fonseca De Souza, Fernando, Maciel, Alexandre Magno Andrade
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.07.2016
Subjects
Data mining
Data models
e-learning
Education
Educational Data Mining
Engagement
Logistics
Measurement
Moodle
Numerical models
Social network services
Transactional Distance
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Summary: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.
ISSN:2161-377X
DOI:10.1109/ICALT.2016.17