Methodology to evaluate the impact of learning with the use of physical modeling of structural prototypes
Abstract
The education of architecture students requires theoretical and practical training in all subjects corresponding to the curriculum. This research shows the methodology to evaluate the impact of the learning of architecture students with the use of physical modeling of structural prototypes, with which it is possible to integrate the conceptual part with the practice. The research method is quantitative quasi-experimental, which must be used on a sample of students, from the Faculty of Architecture and Urbanism of the University of Guayaquil, who must undergo an entry assessment (beginning of the semester), then experiment with the physical modeling of the structural prototypes and, finally, an exit assessment (end of the semester). The results will demonstrate the academic performance after experimenting with the prototypes; the impact on the integration of cognitive processes, the development of creativity, research and innovation.
Keywords: Learning difficulties, architecture, structural system, structural prototype, physical modeling
DOI: 10.54941/ahfe1002695
Cite this paper
More from this volume
- Electronic prototype for the acquisition, processing and visualization of cardiac signals
- Methods for automatic glaucoma detection and feature extraction by different techniques at the pre-processing stage in fundus images
- Three-dimensional construction of the corneal geometry from tomographic images and biomechanical parameters of the cornea
- The Impact of Technology Threat Avoidance Theory Constructs on Cybersecurity Avoidance Behaviour
- Army Crew Training: Coaching with Intelligent Tutoring System (ITS)
- Continuous improvement as a competitive strategy within organizational quality processes
- A Bibliometric and Visual Analysis of Affordance-Based-Design
- The effect of non-driving task takeover request message timing on novice drivers' driving trust
- A Bibliometric and Visual Analysis of Interactive Distance Perception
- How petrochemical industry survive in post-COVID-19: A STAMP-based system science research & recommendations for large-scale sociotechnical systems
- Status Quo and Strategies of Prefabricated Buildings in the Context of Carbon Neutrality and Carbon Peaking
- Cyber-Physical Behaviour Detection and Understanding using Artificial Intelligence


AHFE Open Access