Neuroarchitectural design and its capacity to
improve academic performance with special abilities
El diseño neuro arquitectónico y su capacidad para
mejorar el rendimiento académico con capacidades especiales
Isaac
Ronald Muñoz Mindiola*
Ivette Solange
Cevallos Baque*
Dario
Vidal Ponce Gonzalez*
Walther Lider Cevallos Wong*
ABSTRACT
The
spatial and psychological relationship of students in classrooms according to
academic components currently represents 80% of the student's physical
environment throughout their career. 12.45% respond to psychological
alterations due to stress and mental exhaustion factors, which is why the study
is justified in attempting to create spaces that generate relaxation and
comprehensive comfort. In the Faculty of Architecture and Urbanism, according
to a sample provided by the Student Welfare Department, there is a stress level
of more than 68% among FAU students, as determined by a student census, which
also revealed the important fact that 5.63% have ASD and psychosensory
disorders, which are attributed to their disability. This scientific document
will address techniques for establishing comfortable spaces within the
Faculty's classroom modules and provide criteria based on cognitive analysis
and decision-making. The study evaluates how physical variables in the
environment, such as temperature, humidity, and noise, influence the well-being
and performance of students at the Faculty of Architecture and Urbanism at the
University of Guayaquil. Through systematic measurements, environmental
deficiencies that affect comfort and learning were identified. Architectural
improvements are proposed that integrate principles of neuroarchitecture and
bioclimatic design. However, the focus of this study is characterized by the
function of bioclimatic criteria as indicators that contribute to the cognitive
comfort of people with ASD and psychosensory disorders within the Faculty of
Architecture and Urbanism. It is concluded that the study of individuals' own
faculties contributed to deriving criteria for sizing and active contact with
natural spaces that led to a 65% reduction in psychosensory disorders and a 50%
increase in concentration within the classroom.
Keywords:
classroom, well-being, universities
RESUMEN
La relación espacial y psíquica
de los estudiantes en los salones de clase según los componentes académicos
actualmente representan un 80% del medio físico del estudiante en toda su
carrera, un 12,45% responden a alteraciones psicológicas por factores de estrés
y agotamiento mental por lo que el estudio se justifica al tratar de generar
espacios que generen relajación y confort integral. En la Facultad de
Arquitectura y Urbanismo según una muestra proporcionada por el Departamento de
Bienestar Estudiantil, existe un nivel de estrés de más del 68% de los
estudiantes de la FAU, determinado por un censo estudiantil el cual arrojo
también como dato importante que el 5,63% tienen TEA y alteraciones
psicosensoriales las cuales se atribuyen a s discapacidad. El presente
documento científico abordara las técnicas para establecer espacios
confortables dentro de los módulos de aulas de la Facultad y proporcionar
criterios desde un análisis cognitivo y de toma de decisiones. El estudio
evalúa cómo variables físicas del entorno como temperatura, humedad y ruido
influyen en el bienestar y rendimiento de los estudiantes de la Facultad de
Arquitectura y Urbanismo de la Universidad de Guayaquil. A través de mediciones
sistemáticas, se identificaron deficiencias ambientales que afectan el confort
y aprendizaje. Se proponen mejoras arquitectónicas que integran principios de
neuroarquitectura y diseño bioclimático. Mas no obstante el enfoque del
presente estudio se caracteriza en la función de los criterios bioclimáticos
como indicadores que aporten al confort cognitivo de las personas con TEA y
alteraciones psicosensoriales dentro de la Facultad de Arquitectura y
Urbanismo. Se concluye que el estudio de las facultades propias de los
individuos aporto a derivar un criterio de dimensionamiento y contacto activo
con espacios naturales que propiciaron una disminución del 65% de alteraciones
psicosensoriales y aumentaron en un 50% la concentración dentro del aula de
clase.
Palabras clave: aula de clase, bienestar,
universidades
INTRODUCTION
The purpose of this
research is to examine the impact of the physical environment of classrooms on
the academic performance and well-being of university students, taking into
account that educational spaces are not simply functional containers, but active
components that influence teaching-learning processes (Barrett et al., 2015).
Several studies have shown that environmental factors such as temperature,
noise level, light, and relative humidity have a considerable impact on
students' ability to concentrate, remember information, motivate themselves,
and maintain a positive emotional state (Cheryan et al., 2014; Evans, 2006).
Studies have shown
that the physical environment can significantly affect a person's mood,
behavior, and overall well-being. For example, spaces with natural light, a
view of nature, and comfortable furniture can create a calm and supportive
environment (Papanastasiou et al. 2022), while spaces with poor lighting,
clutter, and inadequate ventilation can increase levels of anxiety and stress.
Neuroarchitecture can
also help address specific psychological conditions by using sensory
stimulation to promote relaxation and reduce symptoms of anxiety, depression,
and post-traumatic stress disorder (PTSD). For example, incorporating elements
such as natural light, water features, and plants can help reduce stress levels
and promote a sense of calm, while the use of textures, colors, and patterns
can be used to create a sensory-rich environment that engages the brain and
reduces symptoms of anxiety.
In spaces, it is also
important to consider the needs and preferences of the individual and their
relationship with the environment (Unni et al. 2022). For example, some people
may prefer a quiet and serene environment, while others may benefit from a more
active and engaging space, but these spaces must be in harmony with nature.
The interaction
between bioclimatic architecture and neuroarchitecture allows for the creation
of spaces that are not only sustainable and efficient, but also healthy and
adapted to human needs. This integration is key to the future of architectural
design, where people's well-being and respect for the environment must go hand
in hand.
In this context, the
study pays special attention to three essential environmental factors:
temperature, noise, and humidity, changes in which can have beneficial or
detrimental impacts on the cognitive performance and well-being of users
(Wargocki & Wyon, 2013). The research is being conducted in six selected
classrooms at the Faculty of Architecture and Urbanism of the University of
Guayaquil, using a method based on systematic measurements, direct observation,
and comparative analysis.
The strategy implemented incorporates the fundamentals of bioclimatic design,
focused on maximizing passive thermal comfort and energy efficiency, drawing on
neuroarchitecture, a growing discipline that analyzes how the built environment
affects the brain, emotional, and behavioral activity of individuals (Sternberg
& Wilson, 2006; Eberhard, 2009). This combination facilitates a more
detailed understanding of the role of physical space in human behavior,
especially in formal learning environments.
This study aims to
determine the elements that restrict or promote academic performance, as well
as to propose architectural interventions that optimize environmental
conditions in university classrooms. The findings are expected to promote the
creation of design guidelines that are more focused on human comfort and
centered on the overall well-being of students, thereby fostering more
inclusive, healthy, and energy- and functionally-efficient educational
environments.
This chapter will
address the influence of physical environmental variables on the university
educational environment, their relationship to architectural design, and how
neuroarchitecture and the bioclimatic approach allow for significant
improvements to be proposed. Field-measured data will be analyzed and practical
redesign solutions will be discussed.
Historically, the
quality of the physical environment in educational settings has been
underestimated, despite its direct influence on students' well-being and
cognitive performance. In Ecuador, particularly at the Faculty of Architecture
and Urbanism of the University of Guayaquil, classrooms have been found to be
inadequate in terms of local weather conditions and students' sensory demands.
The main challenge
lies in the continuity of spaces built without environmental comfort standards,
where high temperatures, unmitigated outside noise, and poorly regulated
humidity levels predominate. These circumstances cause physical discomfort,
mental fatigue, and reduced concentration, impacting the teaching-learning
process.
The hypothesis
guiding this study argues that optimizing environmental factors, particularly
temperature, humidity, and noise levels, through architectural tactics based on
neuroarchitecture and bioclimatic design, will have a positive effect on
student performance and well-being. This conjecture is based on international
research that has shown that thermally and acoustically pleasant environments
foster more favorable cognitive, emotional, and social conditions for the
learning process. Therefore, a practical study is proposed that not only
collects environmental information from classrooms but also suggests specific
redesign solutions, merging scientific knowledge with contextual architectural
practice.
The study of
psychological conditions within study spaces is an important field of research
that focuses on understanding how the physical environment of study spaces
affects patients' mental health and well-being (Erkan 2021).
Physical study spaces
are designed to help people recover from injuries or illnesses that affect
their physical abilities (Pico et al. 2021). However, these spaces can also
have a significant impact on patients' psychological well-being. For example,
the design of a study space can influence patients' perceptions of their
progress, motivation levels, and overall satisfaction with their treatment.
Psychological study
spaces in Ecuador provide treatment focused on patient dissipation through
activities in semi-open spaces, periodic testing, prescribed medication, and
personalized interaction. This model has had a 46% effectiveness rate across
its 42 accredited psychological study centers throughout the country (Álvarez
Córdova et al. 2020).
Research in this
field explores the impact of psychological treatment using complementary
elements such as natural light, colors, sound, public spaces, green areas, and
furniture to reduce stress levels and improve the overall well-being of
patients. Other factors that can be explored include the design and
organization of space, the degree of privacy and social interaction, and the
presence of visual distractions or stressors.
Psychological
conditions that can be studied within study spaces include anxiety, depression,
post-traumatic stress disorder (PTSD), and adjustment disorder. These
conditions, based on neuro sign standards, can have a significant impact on
patients' recovery process, as well as their overall quality of life.
MATERIALS AND METHODS
Traditionally, a
descriptive experimental methodology with a mixed analysis method is used, but
in this case, the interrelation between two approaches returns the study to a
search for information and data that can reveal the real conditions of the
phenomenon; therefore, a mixed-method methodology will be used. The evaluation
of the current study model and its characteristics plays a circumstantial role
in understanding the particular condition of individuals with ASD or
psychosensory impairments, for which their current conditions will be recorded
as determined in the following table:
Table1 . Characterization of the psycho-sensory impairments of
FAU-UG students.
|
Period |
Faculty |
Impairment |
Percentage |
Status |
|
2024-2025 IIC |
Architecture and Urban Planning |
Psychosocial |
4.26 |
Second enrollment |
|
2024-2025 IIC |
Architecture and Urban Planning |
Stress |
68.00 |
First - Second enrollment |
|
2024-2025 IIC |
Architecture and Urban Planning |
TEA |
5.63 |
Third enrollment |
|
2024-2025 IIC |
Architecture and Urban Planning |
Psychosensory disability |
2.25 |
Second enrollment |
Note: Data from the
FAU-UG Student Welfare Department (2024)
In recent years, the
number of students with disabilities has grown by 3% (data taken from the
average – FAU-UG Student Welfare), which means that classrooms and teaching
staff must be trained and updated to cater for a comprehensive and inclusive
educational model that was not conceived at the beginning of the faculty. The
following table shows the case of students with psychosensory impairments
enrolled in this second semester of the current year, identifying that the
dropout rate or number of enrollments resulting from repeating the course is
more consistent in this type of social stratum. This background information
made it possible to visualize that part of the educational structure does not
generate support for disabilities, which is growing in relevance semester after
semester. The decision-making method is used as a tool to determine
individuals' preferences through their collective experience in analyzing the
situation, the problem, the decision, and the potential problems encountered by
each individual, generating a weighted average of results.
For the development
of the experimental methodology, a sample of six classrooms from the Faculty of
Architecture and Urbanism of the University of Guayaquil was selected: 4ª- 101,
4ª – 001, B – 113, 4ª – 009, B – 00, 4ª – 112. For measurement using specialized
equipment. The following results were obtained from the samples:
Table2 . Bioclimatic analysis of the FAU-UG classroom sample.
|
Classroom |
Temperature (°C) |
Humidity (%) |
Noise (dB) |
Problems detected |
|
4A-001 |
31 |
43 |
72 |
External noise, heat |
|
4A-101 |
31 |
43 |
66-68 |
Excessive light, uncomfortable furniture |
|
4B-113 |
24 |
57 |
60 |
Poor lighting, uncomfortable stools |
|
4A-009 |
26 |
43 |
50 |
Average noise,
indirect lighting |
|
4B-001 |
30 |
43 |
64-65 |
Noise in front and rear areas |
|
4A-112 |
31 |
43 |
71 |
High temperature, uncomfortable furniture |
Note: Prepared by the
authors.
Alarming patterns
were identified. In five of the six classrooms studied, the temperature
exceeded 30°C, causing lasting thermal discomfort. In all classrooms, noise
levels exceeding 60 dB were recorded, which impacted concentration. Humidity
remained at acceptable levels, although there were no effective control
systems. Deficiencies in lighting and furniture were also highlighted as
factors that exacerbate student discomfort. These findings highlight an urgent
need for action in educational environments based on technical and human
criteria, in which architecture is interpreted as a tool for simplifying the
learning experience.
RESULTS
Indicators within the psychological and
psychosensory perception of students were taken into account, with color,
shape, interaction with green areas, and social integration as optimal
fundamentals. The scatter plot established levels of acceptance by the users
surveyed (60), ranging from a level of 0 to a level of 5 in relation to color
and its minimum or maximum weighting to form the dispersion of choice.
Figure1 . Scatter plot for color choice.
Note: Prepared by the authors.
The colors proposed focused on the
perception of the patient's emotional health and how these colors stimulate
tranquility and the stay of users within a psychiatric center. The established
color palette is based on current color trends in treatment spaces. According
to the scatter plot, the most appropriate colors are white, blue, green, peach,
and brown, as they obtained the highest acceptance score from users (60).
3 . Spatial matrix of form by structure.
Note: Prepared by the authors.
The shape choices are based on the
conceptualization of shape and structure, whether the shape is maintained or
whether combinations of shapes generate succession without creating voids,
complex transit spaces, or spaces with no apparent exit. The framework of
options is designed in accordance with existing analogous models and design
guidelines for functional neuroarchitecture spaces. The weightings are
established in ranges from 1 to 3, with the highest being the best selection.
Table4 . Positive and negative perceptual selection of green
and social areas.
Note: Prepared by the authors.
Interaction with green areas and social
integration generate a positive perception of this model integrated into
buildings as part of psychological treatment.
The information collected and studied
facilitates the formation of a direct relationship between environmental
conditions in classrooms and the quality of the educational environment. From
the point of view of neuroarchitecture, we can argue that the design of space
not only accommodates educational processes, but also regulates, enhances, or restricts
them.
High temperatures cause fatigue, reduce
the ability to concentrate, and impair emotional predisposition toward the
learning process. Excessive noise hinders auditory perception, causes stress,
and decreases communication effectiveness. Insufficient light, whether
excessive or insufficient, strains vision and alters circadian rhythms, which
are essential for maintaining concentration and alertness.
From a bioclimatic design perspective,
there are several possibilities for passive improvement: cross ventilation, use
of insulating materials, improved openings for light entry and solar control,
and the incorporation of vegetation for heat regulation. All of these tactics
make it possible to intervene without having to resort solely to costly or
high-energy technological solutions.
In terms of proposals, a complete restructuring is suggested that includes:
acoustic panels on walls and ceilings, thermal coatings, ergonomic furniture,
natural ventilation systems, dimmable LED lighting, and the restructuring of
furniture to enhance comfort and interaction.
The debate not only corroborates the
initial hypothesis, but also provides an interdisciplinary view of how the
built environment should meet the cognitive, sensory, and emotional demands of
students. In this context, architectural design ceases to be an independent
technical practice and becomes an educational tool that promotes relevant and
sustainable learning.
CONCLUSIONS
The factors that shape spatial perception,
such as the environment, ergonomics, color, and shape in the classroom,
particularly those related to appropriate temperature, stable sound, and
humidity, are crucial elements that have a direct and indirect impact on the
academic performance and mental well-being of university students. However, an
additional criterion was found to be relevant in the analysis of color, with
the degree of concentration and tranquility provided by the correct choice.
This research has shown that the lack of control over these components causes
thermal discomfort, continuous distractions, and fatigue, impacting the ability
to focus, motivation, and the efficiency of the educational process.
The results indicate that a large number
of the classrooms examined exhibit temperatures above the suggested standards,
noise levels above the permitted limits, and poor lighting for long-term
academic activities. These physical circumstances not only diminish the quality
of the educational environment but also maintain a learning system that hides
the cognitive and sensory needs of the student.
Based on this analysis, it can be deduced
that the implementation of neuroarchitecture and bioclimatic design principles
can lead to significant and sustainable changes in the educational field. These
disciplines provide scientific tools and methods that facilitate the creation
of healthier, more functional spaces that are in line with human needs.
Additionally, it reaffirms the importance
of reconsidering the architectural design of university classrooms from a
multisensory and user-centered approach, taking into account elements such as
natural ventilation, sound insulation, heat regulation, effective lighting, and
furniture ergonomics.
In conclusion, this chapter provides
specific evidence and suggestions for increasing environmental comfort in
classrooms, which not only influences academic performance but also promotes a
more inclusive, fair, and sustainable education.
REFERENCES
Al Horr, Y., Arif, M., Katafygiotou, M., Mazroei, A., Kaushik,
A., & Elsarrag, E. (2016). Impact of indoor environmental quality on occupant well-being and
comfort: A review of the literature. *International Journal of Sustainable
Built Environment*, 5(1), 1–11. https://doi.org/10.1016/j.ijsbe.2016.03.006
Álvarez Córdova, L. R., Artacho, R., Arteaga, C., Fonseca Pérez,
D., Sierra Nieto, V. H., & Ruiz-López, M. D. (2020). Comprehensive geriatric assessment in a
marginalized community in Ecuador. Hospital Nutrition, 37(5), 926-932.
Barrett, P.,
Davies, F., Zhang, Y., & Barrett, L. (2015). The impact of classroom
design on pupils' learning: Final results of a holistic, multi-level
analysis. Building and environment, 89, 118-133.
Brandel, N.,
Schwarz, B. B., Cedar, T., Baker, M. J., Bietti, L. M., Pallarès, G., &
Détienne, F. (2024). Dialogue on ethics and ethics of dialogue: an
exploratory study. Volume 39, Issue 3, Pages 2619 - 2654.
https://doi.org/10.1007/s10212-024-00856-z
Cheryan, S.,
Ziegler, S. A., Plaut, V. C., & Meltzoff, A. N. (2014). Designing
classrooms to maximize student achievement. Policy Insights from the
Behavioral and Brain Sciences, 1(1), 4-12.
Choe, Y., &
Kim, N. (2024). From the classroom to the Living Lab for developing
competencies in tourism higher education. Journal of Hospitality, Leisure,
Sport and Tourism Education, 35, 100511. https://doi.org/10.1016/j.jhlste.2024.100511
Choi, J. H., Aziz,
A., & Loftness, V. (2010). Investigation on the impacts of indoor
environmental quality conditions on occupant satisfaction and performance in
LEED-certified buildings. *Building and Environment*, 45(5), 1057–1063.
https://doi.org/10.1016/j.buildenv.2009.11.005
Colorado-Pastor, B.
A., Fois Lugo, M., Vazquez, M. L., & Hechavarría Hernández, J. R. (2020).
Proposal of a technological ergonomic model for people with disabilities in
the public transport system in Guayaquil. In Advances in Intelligent Systems
and Computing (Vol. 972). https://doi.org/10.1007/978-3-030-19135-1_81
Eberhard, J. P.
(2009). Applying neuroscience to architecture. Neuron, 62(6),
753-756.
Estima, A., & Carvalho, A. C. (2024). Strategies for Inclusive Learning: A
Marketing Faculty’s Journey with Students with Intellectual and Developmental
Disabilities. International Conference on Higher Education Advances, 327–334.
https://doi.org/10.4995/HEAd24.2024.17100
Erkan, U. (2021). A
precise and stable machine learning algorithm: eigenvalue classification
(EigenClass). Neural Computing and Applications, 33(10), 5381-5392.
Evans, M. I. V.
(2006). The decision-making process as a space for learning in organizations.
Revista Ciencias Estratégicas, 14(16), 153-169.
González, R. S.,
& Cruz, M. L. (2022). Participation of people with disabilities in the
educational context: conceptual and methodological proposals. Volume 20,
Issue 1, Pages 173 - 196, 20(1), 173–196. https://doi.org/10.14516/FDE.918
Guaicha, J. A. M.,
Zamora, A. A. M., & Morloy, L. I. Z. (2024). Learning Models in the
Transition Towards Complexity as a Challenge to Simplicity. Sophia
(Ecuador), 2024(36), 69–112. https://doi.org/10.17163/soph.n36.2024.02
Hernández Pico, P. A., & Samada Grasst, Y. (2021). Inclusive education from the legal
educational framework in Ecuador. Journal of Humanistic and Social Sciences
(ReHuSo), 6(3), 63-81.
Hosseini, M., &
Bousbaci, R. (2024). Quebec Educational Program, Pedagogical Approaches, and
Design of Educational Spaces. Journal of Architectural Engineering, 30(4),
05024008. https://doi.org/10.1061/JAEIED.AEENG-1787
Jácome, K.,
Almache, D., Pástor, D., Ávila, D., & Arcos-Medina, G. (2025). Custom
Learning: An Educational Content Recommendation System Based on Learning
Styles. Volume 18, Issue 1, Pages 93 - 111, 18(1), 93–111.
https://doi.org/10.18848/1835-9795/CGP/v18i01/93-111
Lam, R. (2024).
Integrating e-portfolios into L2 classrooms: Education for future. In
Integrating e-Portfolios into L2 Classrooms: Education for Future. Channel
View Publications. https://doi.org/10.21832/LAM5805
Luck, R. (2022).
Access and Mobility in Milton Keynes: An Inclusive Design History where Urban
Planning Ideals and Design Intent Meet Disability Politics. Disena, 21, 6.
https://doi.org/10.7764/disena.21.Article.6
Mathiasen, H.,
& Schrum, L. (2010). New technologies, learning systems, and
communication: Reducing complexity in the educational system. In New Science
of Learning: Cognition, Computers and Collaboration in Education (pp.
385–403). Springer New York. https://doi.org/10.1007/978-1-4419-5716-0_19
Moreira, G. M. M.,
& Gaibor, D. A. C. (2020). Students with special educational needs. Obstacle
or challenge in inclusive university education. University and Society,
12(4), 257–264.
Papanastasiou, D.,
Kounadis, D., Lekkas, A., Orfanopoulos, I., Mpozatzidis, A., Smyrnakis, A.,
... & Zubarev, R. A. (2022). The Omnitrap platform: a versatile segmented
linear ion trap for multidimensional multiple-stage tandem mass spectrometry.
Journal of the American Society for Mass Spectrometry, 33(10), 1990-2007.
Silva Duarte, D.
H., Teixeira Gonçalves, F. L., Silva Duarte, D. H., & Teixeira Gonçalves,
F. L. (2022). Urban climate adaptation: an interdisciplinary research
experience empowering architecture and urbanism education. Revista
de Arquitectura (Bogotá), 24(2), 116–125.
https://doi.org/10.14718/REVARQ.2022.24.4380
Spiegel, J. B., Ortiz Choukroun, B., Campaña, A., Boydell, K.
M., Breilh, J., & Yassi, A. (2019). Social transformation, collective health and
community-based arts: ‘Buen Vivir’ and Ecuador’s social circus programme.
Global Public Health, 14(6), 899–922.
https://doi.org/10.1080/17441692.2018.1504102
Sternberg, E. M.,
& Wilson, M. A. (2006). Neuroscience and architecture: Seeking common
ground. Cell, 127(2), 239-242.
Unni, A., Narang,
M., Sivarani, T., Puravankara, M., Banyal, R. K., Surya, A., ... &
Swastik, C. (2022). Carbon abundance of stars in the LAMOST-Kepler field. The
Astronomical Journal, 164(5), 181.
Urzúa, G. A. E.
(2024). Philosophical foundations for a pedagogy of culture. Sophia
(Ecuador), 2024(37), 191–219. https://doi.org/10.17163/soph.n37.2024.06
Vila-Merino, E. S., Rascón-Gómez, T., & Calderón-Almendros,
I. (2024). Disability, stigma,
and suffering in schools. Emerging narratives for the right to inclusive
education [Disability, stigma, and suffering in schools. Emerging narratives
for the right to inclusive education]. Educacion XX1, 27(1), 353–371.
https://doi.org/10.5944/educxx1.36753
Vivas, G. P. M., Chacón, J. W. B., & Peña, H. C. (2015). Development of information skills in
college: Approaches, models and intervention strategies. Volume 29, Issue 65,
Pages 39 - 72, 29(65), 39–72. https://doi.org/10.1016/j.ibbai.2016.02.014
Wargocki, P., &
Wyon, D. P. (2013). Providing better thermal and air quality conditions in
school classrooms would be cost-effective. Building and Environment, 59,
581-589.
Yusof, M. M. M.,
Shaafi, N. F., & Zaini, N. A. F. (2024). Planetarium pedagogy and
technical learning experience: an investigation from instructional
perspectives. International Journal of Evaluation and Research in Education,
13(3), 1931–1944. https://doi.org/10.11591/ijere.v13i3.25018
Zhang, H., Arens,
E., & Abbaszadeh, S. (2020). Thermal comfort in naturally ventilated
buildings: Role of adaptive models. *Building and Environment*, 181, 107–124.
https://doi.org/10.1016/j.buildenv.2020.107124
* Master's Universidad de Guayaquil
isaac.munozm@ug.edu.ec;
https://orcid.org/0009-0005-5220-1343
* Master's Universidad de Guayaquil ivette.cevallosb@ug.edu.ec;
https://orcid.org/0000-0003-1789-7726
* Master's Universidad de Guayaquil dario.ponceg@ug.edu.ec; https://orcid.org/0009-0006-1852-0620
* Master's Universidad de Guayaquil walther.cevalloswon@ug.edu.ec;
https://orcid.org/0000-0003-1172-3346