Using Project-based Learning in a Hybrid e-Learning System Model

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Using Project-based Learning in a Hybrid e-Learning System Model

Journal Title: International Journal of Advanced Computer Science & Applications - Year 2019, Vol 10, Issue 10

Abstract

After conducting the historical review and estab-lishing 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.

Authors and Affiliations

Luis Alfaro, Claudia Rivera, Jorge Luna-Urquizo

Keywords

Adaptative e-Learning; Project Based Learning (PBL); intelligent agents; back propagation neural networks; fuzzy logic; case base reasoning

EP ID EP665203
DOI 10.14569/IJACSA.2019.0101059
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