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.
International Journal of Educational Technology in Higher Education,
Год журнала:
2024,
Номер
21(1)
Опубликована: Фев. 26, 2024
Abstract
The
present
discussion
examines
the
transformative
impact
of
Artificial
Intelligence
(AI)
in
educational
settings,
focusing
on
necessity
for
AI
literacy,
prompt
engineering
proficiency,
and
enhanced
critical
thinking
skills.
introduction
into
education
marks
a
significant
departure
from
conventional
teaching
methods,
offering
personalized
learning
support
diverse
requirements,
including
students
with
special
needs.
However,
this
integration
presents
challenges,
need
comprehensive
educator
training
curriculum
adaptation
to
align
societal
structures.
literacy
is
identified
as
crucial,
encompassing
an
understanding
technologies
their
broader
impacts.
Prompt
highlighted
key
skill
eliciting
specific
responses
systems,
thereby
enriching
experiences
promoting
thinking.
There
detailed
analysis
strategies
embedding
these
skills
within
curricula
pedagogical
practices.
This
discussed
through
case-study
based
Swiss
university
narrative
literature
review,
followed
by
practical
suggestions
how
implement
classroom.
SSRN Electronic Journal,
Год журнала:
2023,
Номер
unknown
Опубликована: Янв. 1, 2023
This
research
paper
explores
how
the
integration
of
Artificial
Intelligence
(AI)
in
education
sector
is
bringing
about
transformative
changes,
particularly
within
frameworks
Education
4.0
and
5.0.
In
response
to
evolving
technological
landscape,
undergoing
a
shift
address
challenges
21st
century,
moving
away
from
traditional
models
embrace
more
personalized
adaptive
approaches.
represents
significant
where
technology,
notably
AI,
harnessed
enhance
learning
experience.
The
investigates
utilization
AI
technologies,
such
as
machine
algorithms
natural
language
processing,
create
environments.
These
environments
are
designed
meet
specific
needs
preferences
individual
learners,
fostering
engaging
effective
educational
move
3.0
signifies
departure
standardized,
one-size-fits-all
approaches
education,
embracing
dynamic
responsive
system.
Expanding
on
principles
4.0,
5.0
takes
step
further
by
emphasizing
learning.
delves
into
concept
learning,
exploring
systems
can
dynamically
adjust
instructional
strategies
based
real-time
feedback
learner
progress.
seeks
optimize
journey
tailoring
content,
pace,
assessments
each
student's
abilities
style,
aiming
improve
overall
outcomes.
Additionally,
examines
ethical
considerations
associated
with
widespread
adoption
education.
It
critically
evaluates
issues
related
data
privacy,
bias
algorithms,
potential
impact
teacher-student
relationships.
findings
emphasize
need
strike
balance
between
innovation
considerations,
ensuring
responsible
SSRN Electronic Journal,
Год журнала:
2023,
Номер
unknown
Опубликована: Янв. 1, 2023
In
the
dynamic
realm
of
customer-centric
business
models,
organizations
are
increasingly
adopting
advanced
technologies
and
strategies
to
augment
capabilities
Customer
Relationship
Management
(CRM)
systems.
This
study
delves
into
transformative
concept
hyper-personalization
its
profound
impact
on
enhancing
customer
loyalty
satisfaction
within
CRM
frameworks.
Key
enablers
artificial
intelligence
(AI)
machine
learning
(ML),
which
play
a
pivotal
role
in
this
evolution.
These
empower
systems
analyse
extensive
datasets,
extracting
valuable
insights
individual
behaviours,
preferences,
needs.
The
incorporation
predictive
analytics
recommendation
engines
allows
real-time
customization
interactions,
ensuring
customers
receive
personalized
content,
product
recommendations,
communication
channels
tailored
their
unique
profiles.
paper
explores
tools
integral
strategies,
underscoring
importance
data-driven
decision-making.
data
platforms
(CDPs)
highlighted
as
essential
that
unify
disparate
sources
create
comprehensive
profile.
Additionally,
segmentation
assist
categorizing
based
diverse
criteria,
facilitating
targeted
interactions.
integration
these
enhances
ability
deliver
contextually
relevant
experiences,
fostering
stronger
emotional
connections
between
brands.
for
involve
multi-faceted
approach,
encompassing
proactive
communication,
marketing
campaigns,
adaptive
journeys.
evaluates
effectiveness
personalization,
where
dynamically
adjust
content
offers
seamless
experience.
Furthermore,
examines
omnichannel
hyper-personalization,
exploring
how
various
touchpoints
contributes
cohesive
journey.
By
embracing
can
cultivate
enduring
relationships,
ultimately
driving
enhanced
today's
competitive
landscape.
SSRN Electronic Journal,
Год журнала:
2023,
Номер
unknown
Опубликована: Янв. 1, 2023
This
research
paper
delves
into
the
potential
for
transformation
by
incorporating
cutting-edge
technologies
such
as
Artificial
Intelligence
(AI),
Blockchain,
Internet
of
Things
(IoT),
Augmented
Reality
(AR),
and
Virtual
(VR)
to
foster
sustainable
development
tourism.
The
contemporary
tourism
industry
confronts
unprecedented
challenges,
including
environmental
degradation,
cultural
disruption,
socio-economic
imbalances.
investigation
explores
innovative
application
advanced
a
comprehensive
solution
tackle
these
challenges
propel
sector
toward
more
future.
emerges
pivotal
facilitator
in
enhancing
operations
decision-making
processes.
Leveraging
predictive
analytics,
machine
learning,
natural
language
processing,
AI
contributes
optimized
resource
allocation,
personalized
visitor
experiences,
formulation
data-driven
sustainability
strategies.
Blockchain
technology,
recognized
its
decentralized
transparent
nature,
is
utilized
establish
secure
traceable
supply
chains,
ensuring
equitable
economic
distribution
minimizing
impact
travel.
(IoT)
assumes
central
role
creating
intelligent
interconnected
ecosystems.
IoT
devices
enable
real-time
monitoring
conditions,
empowering
destination
management
organizations
implement
adaptive
measures
conservation.
Furthermore,
enhance
safety
satisfaction
through
context-aware
services.
(AR)
offer
immersive
experiences
that
redefine
how
tourists
interact
with
destinations.
AR
enriches
historical
context
attractions,
fostering
deeper
understanding
appreciation
local
heritage.
Meanwhile,
VR
enables
virtual
reducing
need
physical
travel
consequently
mitigating
carbon
footprints.
findings
underscore
technology-driven
approach
practices,
long-term
environmental,
social,
sustainability.
SSRN Electronic Journal,
Год журнала:
2023,
Номер
unknown
Опубликована: Янв. 1, 2023
The
convergence
of
Blockchain
technology
and
Artificial
Intelligence
(AI)
is
exerting
a
transformative
influence,
ushering
in
new
epoch
security
transparency
within
the
financial
sector.
This
amalgamation
effectively
addresses
pivotal
challenges
faced
by
conventional
systems,
presenting
inventive
solutions
to
heighten
efficiency,
diminish
fraud,
amplify
transparency.
Blockchain,
functioning
as
decentralized
tamper-resistant
ledger,
introduces
paradigm
shift
transactions.
Its
capacity
establish
an
unalterable
record
transactions
ensures
that
once
data
recorded,
it
remains
impervious
modification,
thereby
furnishing
unparalleled
level
security.
inherent
attribute
positions
optimal
choice
for
reinforcing
systems
against
cyber
threats
fraudulent
activities.
On
other
hand,
AI
contributes
predictive
analytics,
machine
learning,
automation
forefront
operations.
integration
finance
enables
real-time
analysis,
risk
assessment,
decision-making,
optimizing
processes
elevating
overall
efficiency.
When
amalgamated
with
augments
precision
dependability
data,
cultivating
more
secure
transparent
ecosystem.
A
aspect
this
streamlining
Know
Your
Customer
(KYC)
Anti-Money
Laundering
(AML)
processes.
nature
facilitates
storage
customer
mitigating
identity
theft,
while
algorithms
adeptly
analyze
extensive
datasets
pinpoint
flag
suspicious
not
only
but
also
adherence
regulatory
requirements.
Smart
contracts,
distinctive
feature
automate
enforce
contractual
agreements,
diminishing
reliance
on
intermediaries
minimizing
probability
human
error.
can
be
seamlessly
integrated
into
these
contracts
enhance
their
adaptability
responsiveness
evolving
market
conditions,
further
refining
ushered
all
stakeholders
have
access
singular
version
truth,
fostering
trust
Furthermore,
incorporation
fraud
detection
management
heightens
proactive
identification
potential
threats,
safeguarding
institutions
clientele.
As
increasingly
embrace
integration,
industry
stands
brink
revolution
safeguards
existing
paves
way
innovative
efficient
ecosystems.
SSRN Electronic Journal,
Год журнала:
2023,
Номер
unknown
Опубликована: Янв. 1, 2023
The
fusion
of
Artificial
Intelligence
(AI)
and
the
Internet
Things
(IoT)
has
brought
about
a
paradigm
shift
in
realm
architecture,
engineering,
construction
(AEC),
introducing
intelligent
sensing
technologies
that
significantly
enhance
monitoring
control.
This
study
delves
into
varied
applications,
hurdles,
prospects
emerging
from
collaborative
deployment
AI
IoT-based
sensors
within
AEC
domain.
AI-equipped
smart
enable
real-time
structural
health,
energy
consumption,
environmental
conditions
both
buildings
infrastructure.
These
empower
predictive
maintenance,
ensuring
durability
structures
while
minimizing
downtime.
Additionally,
AI-driven
analytics
optimize
resource
allocation,
improve
safety
protocols,
streamline
processes,
thereby
enhancing
overall
project
efficiency.
Through
ongoing
analysis
data
collected
by
integrated
HVAC
systems,
elevators,
lighting,
maintenance
teams
can
pre-emptively
tackle
potential
malfunctions.
Furthermore,
synergy
between
IoT
enables
development
with
adaptive
features.
Sensors
examine
occupancy
patterns,
lighting
preferences,
temperature
fluctuations
play
pivotal
role
crafting
energy-efficient
occupant-centric
building
designs.
security
privacy
concerns
associated
sensor-generated
give
rise
to
critical
issues
necessitate
robust
cybersecurity
measures.
Interoperability
challenges
among
diverse
sensor
networks
platforms
also
present
obstacles
seamless
integration.
adoption
these
demands
substantial
investments
infrastructure
workforce
training,
requiring
strategic
approach
for
widespread
acceptance.
paper
explores
how
capabilities
contribute
risk
mitigation
cost
reduction
across
entire
lifecycle.
Moreover,
ability
collect
analyze
vast
amounts
empowers
stakeholders
make
well-informed
decisions,
fostering
innovation
sustainability
industry.
By
addressing
underscoring
benefits,
it
provides
invaluable
insights
industry
professionals,
researchers,
policymakers
eager
harness
transformative
construction.
This
research
paper
explores
how
the
integration
of
Arti
cial
Intelligence
(AI)
in
education
sector
is
bringing
about
transformative
changes,
particularly
within
frameworks
Education
4.0
and
5.0.In
response
to
evolving
technological
landscape,
undergoing
a
shift
address
challenges
21st
century,
moving
away
from
traditional
models
embrace
more
personalized
adaptive
approaches.Education
represents
signi
cant
where
technology,
notably
AI,
harnessed
enhance
learning
experience.The
investigates
utilization
AI
technologies,
such
as
machine
algorithms
natural
language
processing,
create
environments.These
environments
are
designed
meet
speci
c
needs
preferences
individual
learners,
fostering
engaging
e
ective
educational
move
3.0
es
departure
standardized,
one-size-ts-all
approaches
education,
embracing
dynamic
responsive
system.Expanding
on
principles
4.0,
5.0
takes
step
further
by
emphasizing
learning.The
delves
into
concept
learning,
exploring
systems
can
dynamically
adjust
instructional
strategies
based
real-time
feedback
learner
progress.Education
seeks
optimize
journey
tailoring
content,
pace,
assessments
each
student's
abilities
style,
aiming
improve
overall
outcomes.Additionally,
examines
ethical
considerations
associated
with
widespread
adoption
education.It
critically
evaluates
issues
related
data
privacy,
bias
algorithms,
potential
impact
teacher-student
relationships.The
ndings
emphasize
need
strike
balance
between
innovation
considerations,
ensuring
responsible
environments.
SSRN Electronic Journal,
Год журнала:
2023,
Номер
unknown
Опубликована: Янв. 1, 2023
The
rise
of
Industry
4.0
and
the
emerging
paradigm
5.0
have
driven
unprecedented
technological
progress
in
various
fields.
Central
to
this
transformation
are
real-time
object
detection
technologies,
notably
You
Only
Look
Once
(YOLO)
Faster
Region
Convolutional
Neural
Network
(Faster
R-CNN)
algorithms.
This
study
thoroughly
examines
applications,
challenges,
prospects
YOLO
R-CNN
diverse
industrial
domains.
In
realm
automation,
these
algorithms
redefined
efficiency
safety
standards
by
enabling
rapid
precise
recognition,
thus
enhancing
overall
production
workflows.
Furthermore,
construction
industry
has
experienced
significant
advancements
project
management
site
safety,
thanks
accurate
identification
materials
equipment.
healthcare,
revolutionized
patient
care
facilitating
medical
instruments
anomalies,
thereby
improving
diagnostics
treatment
processes.
integration
into
autonomous
vehicles
substantially
enhanced
their
capabilities,
ensuring
superior
road
navigation.
Additionally,
precision
agriculture,
streamlined
crop
management,
leading
increased
agricultural
productivity
sustainability.
Moreover,
retail
e-commerce
sectors
undergone
a
shift
with
personalized
customer
experiences
efficient
inventory
all
powered
technologies.
Despite
remarkable
advancements,
paper
explores
challenges
such
as
data
privacy
concerns,
computational
complexity,
ethical
considerations.
Addressing
opens
unique
avenues
for
further
research
innovation.
Lastly,
environmental
monitoring
also
benefited
from
algorithms,
tracking
analysis
changes
informed
decision-making
towards
sustainable
future.
illuminates
transformative
potential
detection,
paving
way
ongoing
upcoming
5.0.
These
technologies
shaping
smarter,
more
connected,
future
across
sectors.
SSRN Electronic Journal,
Год журнала:
2023,
Номер
unknown
Опубликована: Янв. 1, 2023
This
research
paper
delves
into
the
integration
of
advanced
generative
artificial
intelligence
(AI)
models,
such
as
ChatGPT,
Bard,
and
similar
architectures,
within
realms
architectural
design
engineering.
The
comprehensive
study
explores
various
aspects,
including
applications,
frameworks,
challenges,
prospective
developments
in
context
In
domain
design,
investigates
transformative
impact
on
Architectural
Theory,
highlighting
how
AI
fosters
creativity
innovation
thinking.
Design
Process
is
scrutinized,
showcasing
models
streamline
ideation,
iteration,
collaboration
among
teams.
role
Representation
Visualization
explored,
emphasizing
its
capacity
to
generate
immersive
realistic
visualizations.
Furthermore,
examines
influence
Interior
Design,
Urban
Planning,
considers
nuanced
aspects
Cultural
Social
factors,
elucidating
these
technologies
contribute
inclusive
context-sensitive
practices.
Within
realm
engineering,
assesses
Structural
Engineering,
demonstrating
potential
optimize
innovate
structural
analysis
designs
for
enhanced
safety
efficiency.
It
applications
Building
Systems
Construction
Management,
illustrating
can
project
workflows
resource
allocation.
compliance
with
Codes
Regulations
analyzed,
error
reduction
adherence
standards.
Additionally,
probes
Materials
Technology,
advancements
material
selection
construction
methodologies.
also
promoting
Sustainability
Environmental
energy
efficiency,
reduce
environmental
impact,
enhance
overall
sustainability.
While
presenting
critically
evaluates
challenges
posed
by
integrating
domains,
ethical
considerations,
bias
mitigation,
user
adaptability.
Finally,
it
outlines
future
directions
development,
necessity
interdisciplinary
collaboration,
guidelines,
ongoing
fully
harness
shaping