Education Sciences,
Год журнала:
2024,
Номер
14(11), С. 1209 - 1209
Опубликована: Ноя. 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,
Год журнала:
2023,
Номер
unknown
Опубликована: Янв. 1, 2023
The
Metaverse,
an
immersive
virtual
reality
realm
where
users
engage
with
computer-generated
environments,
is
swiftly
emerging
as
a
transformative
platform
poised
to
address
and
propel
Sustainable
Development
Goals
(SDGs).
This
research
delves
into
the
intersections
between
Metaverse
SDGs,
shedding
light
on
how
this
cutting-edge
technology
can
be
harnessed
sustainable
development
across
diverse
sectors.
Commencing
comprehensive
overview,
paper
details
evolution,
key
components,
capabilities
of
Metaverse.
Underscoring
its
dynamic
interactive
essence,
emphasizes
potential
revolutionize
conventional
approaches
education,
healthcare,
environmental
conservation,
economic
empowerment.
A
thorough
analysis
unveils
Metaverse's
role
in
democratizing
education
by
transcending
geographical
boundaries
providing
inclusive
learning
environments.
nature
facilitates
experiential
learning,
enhancing
accessibility,
fostering
global
collaboration
fulfill
SDG
4
(Quality
Education).
Additionally,
explores
contribute
healthcare
solutions
through
medical
consultations,
training
professionals,
simulating
scenarios.
innovative
approach
holds
disparities,
advance
3
(Good
Health
Well-being),
improve
overall
public
health.
Environmental
sustainability
takes
center
stage
serves
for
raising
awareness
about
climate
change,
promoting
practices,
eco-friendly
solutions.
aligns
13
(Climate
Action)
15
(Life
Land),
emphasizing
capacity
inspire
real-world
stewardship.
Economic
empowerment
addressed
discussions
economies
within
highlighting
opportunities
entrepreneurship,
job
creation,
financial
inclusion.
exploration
corresponds
1
(No
Poverty),
8
(Decent
Work
Growth),
10
(Reduced
Inequality).
Computers and Education Artificial Intelligence,
Год журнала:
2024,
Номер
7, С. 100274 - 100274
Опубликована: Авг. 3, 2024
In
an
era
where
artificial
intelligence
(AI)
is
reshaping
educational
paradigms,
this
study
explores
AI-based
chatbot
adoption
in
higher
education
among
students
and
educators.
Employing
a
Structural
Equation
Modeling
(SEM)
approach,
the
research
focuses
on
developing
validating
comprehensive
model
to
understand
multifaceted
factors
impacting
acceptance
use
of
these
chatbots.
The
methodology
integrates
extensive
literature
review,
construction
theoretical
model,
administration
detailed
questionnaire
representative
sample
from
sector,
coupled
with
advanced
SEM
techniques
for
data
analysis
interpretation.
validates
model's
robustness
highlights
relationships
between
several
key
affecting
users'
perspectives
chatbots
adoption.
Results
reveal
predominantly
positive
perception
towards
AI-chatbots
both
educators,
underscoring
potential
substantially
enrich
their
journey.
However,
it
also
uncovers
critical
concerns
pertaining
trust,
privacy,
response
bias,
information
accuracy.
Moreover,
offers
valuable
insights
into
how
moderators
such
as
technological
proficiency,
user
roles,
gender
influence
relationships.
This
emphasizes
need
customizing
deployment
meet
diverse
needs
users
effectively.
Contributing
robust
framework
understanding
perceptions
patterns,
actionable
leaders,
policymakers,
technology
developers.
It
lays
groundwork
future
research,
including
longitudinal
studies
evaluate
long-term
impact
technologies,
investigations
effect
learning
outcomes,
explorations
ethical
privacy
considerations
involved.
SSRN Electronic Journal,
Год журнала:
2023,
Номер
unknown
Опубликована: Янв. 1, 2023
The
escalating
global
demand
for
clean
water
mandates
the
development
of
inventive
approaches
to
wastewater
treatment
systems.
This
paper
investigates
incorporation
cutting-edge
technologies,
specifically
Artificial
Intelligence
(AI),
Machine
Learning
(ML),
Blockchain,
and
Internet
Things
(IoT),
revolutionize
elevate
procedures.
collaborative
application
these
technologies
presents
a
promising
avenue
optimizing
efficiency,
sustainability,
overall
performance
within
infrastructure.
play
pivotal
roles
in
predictive
modeling
decision-making
processes
plants.
These
facilitate
real-time
monitoring
quality
parameters,
enabling
dynamic
adjustments
protocols
based
on
data-driven
insights.
adaptive
nature
AI
ML
algorithms
enhances
system
resilience,
diminishes
operational
costs,
ensures
adherence
rigorous
environmental
standards.
integration
Blockchain
technology
introduces
decentralized
secure
framework
managing
data
By
capitalizing
inherent
transparency
immutability
blockchain,
stakeholders
can
trace
complete
lifecycle
treatment,
from
source
discharge.
not
only
promotes
accountability
but
also
nurtures
trust
among
regulators,
utilities,
public,
fostering
more
transparent
sustainable
management
ecosystem.
Moreover,
contributes
establishment
connected
responsive
Sensor
networks
embedded
throughout
process
enable
collection,
facilitating
remote
control.
seamless
communication
between
IoT
devices
prompt
identification
anomalies
potential
failures,
allowing
timely
intervention
averting
hazards.
research
underscores
emphasizes
significance
their
address
evolving
challenges
contribute
future.
SSRN Electronic Journal,
Год журнала:
2023,
Номер
unknown
Опубликована: Янв. 1, 2023
In
healthcare,
the
incorporation
of
Artificial
Intelligence
(AI)
plays
a
pivotal
role
in
enhancing
diagnostic
precision
and
guiding
treatment
decisions.
Nevertheless,
lack
transparency
conventional
AI
models
poses
challenges
gaining
trust
clinicians
comprehending
rationale
behind
their
This
research
paper
explores
Explainable
(XAI)
its
application
with
specific
focus
on
transparent
designed
for
clinical
decision
support
various
medical
disciplines.
The
initiates
by
underscoring
crucial
requirement
interpretability
systems
within
healthcare
realm.
Recognizing
diverse
nature
specialties,
study
investigates
tailored
XAI
approaches
to
meet
distinctive
needs
areas
such
as
radiology,
pathology,
cardiology,
oncology.
Through
thorough
review
existing
literature
analysis,
identifies
key
obstacles
prospects
implementing
across
varied
contexts.
field
cornerstone
imaging,
proves
beneficial
elucidating
decision-making
procedures
image
analysis
algorithms.
probes
into
impact
interpretable
radiological
diagnoses,
examining
how
can
seamlessly
integrate
AI-generated
insights
workflows.
Within
where
is
utmost
importance,
clarifies
enhance
histopathological
assessments.
By
demystifying
intricacies
AI-driven
pathology
models,
aims
empower
pathologists
leverage
these
tools
more
accurate
diagnoses.
Cardiology,
characterized
complex
interplay
physiological
parameters,
benefits
from
offering
intelligible
explanations
cardiovascular
risk
predictions
recommendations.
delves
highlighting
potential
systems.
Moreover,
oncology,
decisions
hinge
precise
identification
characterization
tumors,
aids
unraveling
intricate
machine
learning
models.
This,
turn,
fosters
among
oncologists
utilizing
personalized
strategies.
ECNU Review of Education,
Год журнала:
2025,
Номер
unknown
Опубликована: Янв. 17, 2025
Purpose
Recent
advancements
in
artificial
intelligence
(AI)-powered
technologies,
particularly
ChatGPT,
have
sparked
significant
interest
English
as
a
Foreign
Language
(EFL)
education.
This
review
aims
to
explore
the
landscape
of
ChatGPT's
application
EFL
writing.
Design/Approach/Method
Given
nascence
this
field,
study
conducts
scoping
by
analyzing
16
empirical
studies
published
before
December
2023
investigate
role
ChatGPT
Findings
The
explores
current
and
potential
uses
writing,
highlighting
its
dual
both
writing
assistant
an
assessment
tool.
On
one
hand,
is
widely
acknowledged
for
providing
real-time
feedback
that
enhances
quality
efficiency.
other
challenges
concerns
remain
prevalent.
Originality/Value
findings
reveal
key
gaps
literature,
such
need
more
interdisciplinary
research,
adaptation
AI
models
meet
linguistic
cultural
needs
learners,
integration
multimodal
tools.
emphasizes
importance
critical
thinking
information
literacy
training
educators
students
while
addressing
ethical
considerations.
These
insights
offer
roadmap
future
research
practical
implementation
language
education,
valuable
guidance
different
stakeholders.
SSRN Electronic Journal,
Год журнала:
2023,
Номер
unknown
Опубликована: Янв. 1, 2023
This
research
paper
offers
a
thorough
examination
of
strategies
geared
towards
enhancing
thermal
comfort
within
constructed
spaces
through
the
incorporation
state-of-the-art
design,
monitoring,
and
optimization
technologies.
In
light
escalating
challenges
brought
about
by
climate
change
increasing
demand
for
sustainable
energy-efficient
building
solutions,
quest
improved
has
emerged
as
central
focus
in
architectural
engineering
research.
The
initiates
its
exploration
delving
into
contemporary
design
principles
that
underscore
significance
passive
strategies,
such
optimal
orientation,
shading
devices,
natural
ventilation.
It
elucidates
synergies
between
elements
comfort,
emphasizing
how
innovative
designs
can
foster
ideal
indoor
conditions
while
reducing
reliance
on
energy-intensive
heating,
ventilation,
air
conditioning
(HVAC)
systems.
A
substantial
segment
review
is
dedicated
to
monitoring
technologies
enabling
real-time
assessment
environmental
parameters.
integration
sensors,
data
analytics,
Building
Information
Modelling
(BIM)
facilitates
nuanced
comprehension
dynamics,
allowing
adaptive
responses
evolving
conditions.
discusses
role
wearable
devices
occupant
feedback
systems
capturing
subjective
perceptions,
thereby
enriching
pool
more
comprehensive
analysis.
Moreover,
delves
burgeoning
field
technologies,
encompassing
utilization
machine
learning
algorithms
artificial
intelligence
management
These
empower
predictive
modeling
optimizing
HVAC
operations,
minimizing
energy
consumption.
synthesis
these
not
only
enhances
well-being
but
also
aligns
with
global
endeavours
forge
resilient
built
environments
amid
challenges.
SSRN Electronic Journal,
Год журнала:
2023,
Номер
unknown
Опубликована: Янв. 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.
