Education Sciences,
Journal Year:
2024,
Volume and Issue:
14(11), P. 1209 - 1209
Published: Nov. 3, 2024
This
study
delves
into
the
factors
that
drive
teachers’
adoption
of
generative
artificial
intelligence
(GenAI)
technologies
in
higher
education.
Anchored
by
technology
acceptance
model
(TAM),
research
expands
its
inquiry
integrating
constructs
intelligent
technological
pedagogical
content
knowledge
(TPACK),
AI
literacy,
and
perceived
trust.
Data
were
gathered
from
a
sample
237
university
teachers
through
structured
questionnaire.
The
employed
structural
equation
modeling
(SEM)
to
determine
relationships
among
constructs.
results
revealed
both
literacy
ease
most
influential
affecting
GenAI.
Notably,
TPACK
trust
found
be
pivotal
mediators
this
relationship.
findings
underscore
importance
fostering
adapting
frameworks
better
equip
educators
age
AI.
Furthermore,
there
is
clear
need
for
targeted
professional
development
initiatives
focusing
on
practical
training
enhances
literacy.
These
programs
should
provide
hands-on
experience
with
GenAI
tools,
boosting
educators’
confidence
ability
integrate
them
their
teaching
practices.
SSRN Electronic Journal,
Journal Year:
2023,
Volume and Issue:
unknown
Published: Jan. 1, 2023
The
construction
sector
is
characterized
by
dynamic
and
perilous
conditions,
demanding
innovative
strategies
to
bolster
worker
safety.
This
research
delves
into
the
incorporation
of
cutting-edge
wearable
technologies
as
a
proactive
measure
tailor
safety
protocols
for
sites.
Focused
on
risk
mitigation
overall
enhancement,
this
investigation
assesses
efficacy
various
advanced
devices.
study
commences
scrutinizing
role
intelligent
helmets
equipped
with
augmented
reality
(AR)
technology.
These
furnish
real-time
data
about
site,
delivering
critical
information
workers,
including
potential
hazards,
emergency
exits,
equipment
statuses.
integration
AR
heightens
situational
awareness,
empowering
workers
make
well-informed
decisions
respond
promptly
changing
conditions.
Beyond
smart
helmets,
explores
implementation
sensors
designed
monitor
physiological
parameters
workers.
Capable
measuring
vital
signs
such
heart
rate,
body
temperature,
fatigue
levels,
these
enable
continuous
assessment
health.
generated
can
be
analyzed
identify
patterns
trends,
facilitating
preventive
measures
address
health-related
risks.
Additionally,
adoption
exoskeletons
devices
enhance
human
capabilities
diminish
musculoskeletal
injuries.
provide
ergonomic
support,
particularly
during
tasks
involving
heavy
lifting
or
repetitive
motions.
By
assisting
in
maintaining
proper
posture
reducing
physical
strain,
contribute
long-term
injury
prevention
improved
well-being.
Integration
artificial
intelligence
(AI)
algorithms
enhances
sensors,
providing
nuanced
understanding
individual
health
personalized
recommendations.
presents
multifaceted
approach
safety,
addressing
both
environmental
factors.
As
industry
continues
evolve,
holds
not
only
outcomes
but
also
redefine
future
work
hazardous
environments.
International Journal of Architecture and Planning,
Journal Year:
2023,
Volume and Issue:
3(2), P. 92 - 124
Published: Sept. 5, 2023
This
research
paper
investigates
the
integration
of
advanced
generative
artificial
intelligence
(AI)
models,
such
as
ChatGPT,
Bard,
and
similar
architectures,
in
architectural
design
engineering.The
comprehensive
study
explores
various
aspects,
including
applications,
frameworks,
challenges,
prospective
developments
context
engineering.In
design,
transformative
impact
on
Architectural
Theory,
highlighting
how
AI
fosters
creativity
innovation
thinking.The
Design
Process
is
scrutinized,
showcasing
models
streamline
ideation,
iteration,
collaboration
among
teams.Furthermore,
examines
influence
Interior
Design,
Urban
Planning,
considers
nuanced
aspects
Cultural
Social
factors,
elucidating
these
technologies
contribute
to
inclusive
context-sensitive
practices.In
engineering,
assesses
Structural
Engineering,
demonstrating
its
potential
optimize
innovate
structural
analysis
designs
for
enhanced
safety
efficiency.It
applications
Building
Systems
Construction
Management,
illustrating
can
project
workflows
resource
allocation.The
compliance
with
Codes
Regulations
analyzed,
emphasizing
error
reduction
adherence
standards.Additionally,
probes
into
Materials
Technology,
advancements
material
selection
construction
methodologies.The
also
role
promoting
Sustainability
Environmental
energy
efficiency,
reduce
environmental
impact,
enhance
overall
sustainability.Finally,
outlines
challenges
future
directions
development
fully
harness
shaping
engineering.
SSRN Electronic Journal,
Journal Year:
2023,
Volume and Issue:
unknown
Published: Jan. 1, 2023
The
swift
expansion
of
renewable
energy
sources
and
the
growing
demand
for
electric
vehicles
have
spurred
intensive
research
into
advancing
storage
technologies,
with
a
primary
focus
on
lithium-ion
batteries
(LIBs).
This
all-encompassing
examination
delves
possibilities
offered
by
emerging
electrolyte
materials
to
elevate
LIB
performance,
tackling
key
obstacles
offering
insights
sustainable
solutions.
analysis
provides
thorough
exploration
recent
progress
in
their
impact
LIBs,
shedding
light
electrochemical
properties,
safety
considerations,
scalability.
review
most
innovations
formulations,
encompassing
ionic
liquids,
solid-state
electrolytes,
gel
polymer
each
exhibiting
promising
attributes
such
as
heightened
thermal
stability,
enhanced
profiles,
increased
density.
incorporation
these
novel
has
potential
address
longstanding
issues
associated
conventional
liquid
including
flammability
limited
cycle
life.
Various
pertinent
technologies
are
discussed
within
context
advancements.
Notable
breakthroughs
involve
use
liquid-based
electrolytes
improve
stability
safety,
eliminate
flammable
components,
mechanical
strength
flexibility.
Additionally,
explores
integration
nanomaterials
additives
optimize
addressing
challenges
related
ion
transport
electrode-electrolyte
interfaces.
Moreover,
scrutinizes
implications
sustainability,
considering
factors
resource
availability,
recyclability,
environmental
impact.
widespread
adoption
commercial
applications
is
examined,
emphasizing
significance
scalability,
cost-effectiveness,
regulatory
considerations.
By
crucial
performance
aspects,
advancements
pave
way
solutions
transition
towards
cleaner
more
energy-efficient
future.
SSRN Electronic Journal,
Journal Year:
2023,
Volume and Issue:
unknown
Published: Jan. 1, 2023
Geotechnical
site
characterization
is
a
crucial
factor
in
the
effective
planning,
design,
and
implementation
of
civil
engineering
projects.
In
evolving
landscape
infrastructure
development,
integration
advanced
technologies
such
as
Artificial
Intelligence
(AI)
Internet
Things
(IoT)
has
emerged
transformative
strategy
to
improve
precision
efficiency
geotechnical
processes.
This
article
delves
into
combined
application
AI
IoT
characterization,
encompassing
diverse
range
technologies,
models,
tools,
frameworks.
AI,
utilizing
its
machine
learning
algorithms,
capacity
analyse
extensive
geospatial
geological
data,
facilitating
more
accurate
identification
subsurface
conditions.
Neural
networks
deep
models
play
role
examining
features,
predicting
soil
behaviour,
evaluating
potential
risks
associated
with
construction
conjunction
incorporation
enables
real-time
monitoring
data
acquisition
at
sites.
Ground-embedded
sensor
gather
geophysical
including
moisture,
temperature,
pressure,
providing
dynamic
continuous
understanding
feeds
creating
feedback
loop
that
refines
predictions
enhances
characterization.
Moreover,
introduces
various
tools
frameworks
facilitate
seamless
engineering.
Geographic
Information
Systems
(GIS)
are
employed
for
spatial
analysis,
aiding
visualization
interpretation
complex
data.
Additionally,
Building
Modelling
(BIM)
explored
means
integrate
information
overall
project
promoting
holistic
approach
planning.
Embracing
this
technological
synergy
essential
addressing
challenges
modern
development
ensuring
sustainability
resilience
projects
future.
Education Sciences,
Journal Year:
2024,
Volume and Issue:
14(11), P. 1209 - 1209
Published: Nov. 3, 2024
This
study
delves
into
the
factors
that
drive
teachers’
adoption
of
generative
artificial
intelligence
(GenAI)
technologies
in
higher
education.
Anchored
by
technology
acceptance
model
(TAM),
research
expands
its
inquiry
integrating
constructs
intelligent
technological
pedagogical
content
knowledge
(TPACK),
AI
literacy,
and
perceived
trust.
Data
were
gathered
from
a
sample
237
university
teachers
through
structured
questionnaire.
The
employed
structural
equation
modeling
(SEM)
to
determine
relationships
among
constructs.
results
revealed
both
literacy
ease
most
influential
affecting
GenAI.
Notably,
TPACK
trust
found
be
pivotal
mediators
this
relationship.
findings
underscore
importance
fostering
adapting
frameworks
better
equip
educators
age
AI.
Furthermore,
there
is
clear
need
for
targeted
professional
development
initiatives
focusing
on
practical
training
enhances
literacy.
These
programs
should
provide
hands-on
experience
with
GenAI
tools,
boosting
educators’
confidence
ability
integrate
them
their
teaching
practices.
