Identification of significant variables for the parameterization of structures learning in architecture students

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3 Citas (Scopus)

Resumen

The present work can be included in a much broader research related to an improvement on the learning of structural concepts and their practical application for architecture students, and consists in identifying significant variables to predict the effect of different teaching practices using an academic analytics approach. This work gathers data from surveys answered by architecture students – from La Salle Architecture School in Barcelona - to confirm the hypothesis that motivation is a key aspect to focus on. The results confirm it, and configure the working basis to check the efficiency of the teaching practices to be analyzed next academic years and for defining a predictive model on structural learning for architectural students.

Idioma originalInglés
Título de la publicación alojadaTrends and Advances in Information Systems and Technologies
EditoresHojjat Adeli, Sandra Costanzo, Alvaro Rocha, Luis Paulo Reis
EditorialSpringer Verlag
Páginas298-306
Número de páginas9
ISBN (versión impresa)9783319776996
DOI
EstadoPublicada - 2018
Evento6th World Conference on Information Systems and Technologies, WorldCIST 2018 - Naples, Italia
Duración: 27 mar 201829 mar 2018

Serie de la publicación

NombreAdvances in Intelligent Systems and Computing
Volumen747
ISSN (versión impresa)2194-5357

Conferencia

Conferencia6th World Conference on Information Systems and Technologies, WorldCIST 2018
País/TerritorioItalia
CiudadNaples
Período27/03/1829/03/18

Huella

Profundice en los temas de investigación de 'Identification of significant variables for the parameterization of structures learning in architecture students'. En conjunto forman una huella única.

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