Learning Analytics in MOOCs: Big Data Educational Analysis of Telelab Courses

Authors

  • Breno Biagiotti Universidade Federal de Santa Catarina
  • Maria José Baldessar Universidade Federal de Santa Catarina

DOI:

https://doi.org/10.14393/par-v2n1-2017-45194

Keywords:

Learning Analytics, MOOCs, Big Data Educacional, TELELAB

Abstract

This article presents the application of Learning Analytics techniques (LA) in the mass Telelab courses, focusing on the implementation of the teaching process learning MOOCs , through the analysis and prediction of Big Data Education (BDE ) . For this, we carried out a systematic review of these subjects and applied LA techniques in the analysis of Telelab data . It was noted the difficulty in working with large amounts of heterogeneous educational data (about 56,000 students) in order to obtain relevant information to improve the travel experience . However , using statistical techniques , some patterns could be located , highlighting strengths and weaknesses of Telelab that need attention.

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Author Biographies

Breno Biagiotti, Universidade Federal de Santa Catarina

Doutorando do Programa de Pós-Graduação em Engenharia e Gestão do Conhecimento, com ênfase em mídia e conhecimento. Mestre em Engenharia e Gestão do Conhecimento. Pesquisador na área de ensino a distância, cursos massivos (MOOCs), objetos de aprendizagem e elaboração de materiais instrucionais. Atualmente trabalha com produção de material instrucional para o Ministério
da Saúde na UFSC.

Maria José Baldessar, Universidade Federal de Santa Catarina

Doutora em Ciências da Comunicação pela Universidade de São Paulo (2006), Mestre em Sociologia Política pela Universidade Federal de Santa Catarina (1999).

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Published

2018-09-30

How to Cite

Biagiotti, B., & Baldessar, M. J. (2018). Learning Analytics in MOOCs: Big Data Educational Analysis of Telelab Courses. Paradoxos, 2(1), 8–20. https://doi.org/10.14393/par-v2n1-2017-45194