Abordagem arquitetônica para o acompanhamento automático de atividades de aprendizagem em cursos on-line massivos e abertos

Autores

  • Daniel Alberto Jaramillo Morillo Universidad del Cauca, Popayán
  • Mario Fernando Solarte Sarasty Universidad del Cauca, Popayán

DOI:

https://doi.org/10.18046/syt.v14i37.2242

Palavras-chave:

Monitoramento, MOOC, acompanhamento, tele-educação.

Resumo

Na segunda década do século XXI gerou-se um grande interesse nos cursos on-line massivos e abertos;  muitos consideram-nos uma "revolução educacional” porque eles são apresentados como uma solução para a crescente demanda do ensino de nível superior. O seu principal objetivo é atingir um volume elevado de participantes, permitindo-lhes um alcance global e uma aprendizagem mais participativa. No entanto, devido à sua massificação, geram-se uma série de problemas ou desafios, incluindo a falta de uma relação adequada entre o tutor e os alunos, sendo que é impossível que os tutores tenham uma relação pessoal com cada um dos milhares de participantes, tornando difíceis atividades como a avaliação e o monitoramento, impactando também na qualidade da aprendizagem. Neste artigo é proposta uma abordagem arquitetônica para o acompanhamento de atividades de aprendizagem, que pretende melhorar a relação professor/aluno em um ambiente de massificação, para maximizar a qualidade da aprendizagem em cursos online massivos e abertos.

Biografia do Autor

  • Daniel Alberto Jaramillo Morillo, Universidad del Cauca, Popayán

    Engineer in Electronics and Telecommunications and candidate to Master in Telematics Engineering. Young researcher, member of Grupo de Ingeniería Telemática [GIT] at the Universidad del Cauca (Colombia). He served as a teacher by a working scholarship at the Telematics Department, on issues related to telecommunications networks. His research focus are tools and digital applications supporting teaching and learning online processes; currently he is investigating about indicators for automatic monitoring of learning activities of students participating in Massive Open Online Courses [MOOC].

     

     

  • Mario Fernando Solarte Sarasty, Universidad del Cauca, Popayán

    Full Professor of Department of Telematics at the University of Cauca. He is Engineer in Electronics and Telecommunications, Specialist in Project Formulation and Evaluation, Master in Engineering and Ph.D. candidate in Telematics Engineering (supported by a grant from Colciencias). Currently he investigates about automatic identification of learning styles and preferences, for adaptation to Massive Open Online Courses [MOOC], area corresponding to one of his major areas of interest: training processes supported by Internet technologies. 

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Publicado

2016-08-05

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Discussion papers