학술논문

The Experience of Using a New e-Learning Tool in Architectural Studies
Document Type
Periodical
Source
IEEE Access Access, IEEE. 10:87008-87021 2022
Subject
Aerospace
Bioengineering
Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Computing and Processing
Engineered Materials, Dielectrics and Plasmas
Engineering Profession
Fields, Waves and Electromagnetics
General Topics for Engineers
Geoscience
Nuclear Engineering
Photonics and Electrooptics
Power, Energy and Industry Applications
Robotics and Control Systems
Signal Processing and Analysis
Transportation
Electronic learning
Image processing
Three-dimensional displays
Content management
Image color analysis
Visualization
Complexity theory
COVID-19
Architecture
content creation
COVID-19 pandemic
e-Learning
feedback
image-based learning
visuospatial skills
Language
ISSN
2169-3536
Abstract
The COVID-19 pandemic has accelerated the use of e-Learning technologies as an alternative to classical face-to-face teaching. Teachers have had to quickly adapt to virtual technologies and transform their material to online content in order to minimise the impact on students’ education. In studies such as Architecture, where visual and graphical representations are fundamental, such an adaptation is challenging. The aim of this paper is to evaluate a new e-learning methodology in architectural studies by using SAPIENS, a specifically designed e-learning platform with content creation tools and automatic correction. This platform was used to create an e-learning course on building systems. To evaluate and measure the effectiveness and acceptance of the proposed methodology in architectural education, an experiment with 108 students was carried out. Participants were divided into two homogeneous groups, G1 and G2 , and only G1 was given access to the e-learning platform to take the course. The results were obtained by means of pre- and posttesting and a questionnaire. Significant differences were found between pre- and posttest scores, and nearly significant differences were found between the posttest scores of G1 and G2 . The mean of all questionnaire scores exceeded 3.5 on a five-point Likert scale except for one question. G1 rated better overall, and there were no significant differences by age, degree, subject or e-learning experience. Teacher’s opinion was very satisfactory as well. Therefore, the proposed methodology, with high image interaction and adapted to all participant profiles, helps in the process of learning and is highly accepted by learners, specially those who are engaged.