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

被引:0
|
作者
Alfaro, Luis [1 ]
Rivera, Claudia [1 ]
Luna-Urquizo, Jorge [1 ]
机构
[1] Univ Nacl San Agustin Arequipa, Arequipa, Peru
关键词
Adaptative e-Learning; Project Based Learning (PBL); intelligent agents; back propagation neural networks; fuzzy logic; case base reasoning; STYLES; METAANALYSIS; ACHIEVEMENT; NETWORK;
D O I
10.14569/ijacsa.2019.0101059
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
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.
引用
收藏
页码:426 / 436
页数:11
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