TY - JOUR
T1 - Using Project-based learning in a Hybrid e-Learning system model
AU - Alfaro Casas, Luis Alberto
AU - Rivera Chavez, Claudia Patricia
AU - Luna-Urquizo, Jorge
N1 - Publisher Copyright:
© 2019 International Journal of Advanced Computer Science and Applications.
PY - 2019
Y1 - 2019
N2 - 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.
AB - 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.
KW - Adaptative e-Learning
KW - Back propagation neural networks
KW - Case base reasoning
KW - Fuzzy logic
KW - Intelligent agents
KW - Project Based Learning (PBL)
UR - http://www.scopus.com/inward/record.url?scp=85075714743&partnerID=8YFLogxK
U2 - 10.14569/ijacsa.2019.0101059
DO - 10.14569/ijacsa.2019.0101059
M3 - Artículo
AN - SCOPUS:85075714743
SN - 2158-107X
VL - 10
SP - 426
EP - 436
JO - International Journal of Advanced Computer Science and Applications
JF - International Journal of Advanced Computer Science and Applications
IS - 10
ER -