Using Project-based learning in a Hybrid e-Learning system model

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Abstract

After conducting the historical review and establishing the state of the art, the authors of this paper focus on the incorporation of Project Based Learning (PBL), in an adaptive e- Learning environment, a novel and emerging perspective, which allows the application of what today constitutes one of the most effective strategies for the process of teaching learning. In PBL, each project is defined as a complex task or problem of reality, for which resolution, the student must develop research activities, planning, design, development, validation, testing, etc. For the proposal of the Hybrid Architecture of the e-Learning system model, the authors use artificial intelligence techniques, which make it possible to identify the Learning Styles (LS), with the purpose of automatically assigning the projects, according to the characteristics, interests, expectations and demands of the student, who will interact with an e-Learning environment, with a high capacity of adaptation to each individual. Finally, the conclusions and recommendations of the research work are established.

Original languageEnglish
Pages (from-to)426-436
Number of pages11
JournalInternational Journal of Advanced Computer Science and Applications
Volume10
Issue number10
DOIs
StatePublished - 2019

Bibliographical note

Funding Information:
The authors would like to thank Universidad Nacional de San Agust?n (UNSA) for supporting this research.

Publisher Copyright:
© 2019 International Journal of Advanced Computer Science and Applications.

Keywords

  • Adaptative e-Learning
  • Back propagation neural networks
  • Case base reasoning
  • Fuzzy logic
  • Intelligent agents
  • Project Based Learning (PBL)

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