Information,
Год журнала:
2024,
Номер
15(7), С. 416 - 416
Опубликована: Июль 18, 2024
Students’
perceptions
of
tools
with
which
they
learn
affect
the
outcomes
this
learning.
GenAI
are
new
that
have
promise
for
students’
learning,
especially
higher
education
students.
Examining
as
learning
can
help
instructors
better
plan
activities
utilize
these
in
context.
The
present
research
considers
four
components
tools:
efficiency,
interaction,
affect,
and
intention.
To
triangulate
data,
it
combines
quantitative
qualitative
methodologies,
by
using
a
questionnaire
conducting
interviews.
A
total
153
students
responded
to
questionnaire,
while
10
participated
interview.
results
indicated
means
efficiency
were
significantly
medium,
mean
intention
was
high.
findings
showed
intention,
male
had
AI
than
female
students,
but
interaction
component,
two
genders
did
not
differ
significantly.
Moreover,
degree
affected
only
perception
where
value
different
between
B.A.
Ph.D.
favor
medium-technology-knowledge
high-technology-knowledge
differed
their
working
component
only,
difference
Furthermore,
knowledge
high-AI-knowledge
over
low-AI-knowledge
well
medium-AI-knowledge
Computers and Education Open,
Год журнала:
2024,
Номер
6, С. 100179 - 100179
Опубликована: Апрель 10, 2024
In
the
context
of
global
integration
and
increasing
reliance
on
Artificial
Intelligence
(AI)
in
education,
evaluating
AI
literacy
pre-service
teachers
is
crucial.
As
future
architects
educational
systems,
must
not
only
possess
pedagogical
expertise
but
also
a
strong
foundation
literacy.
This
quantitative
study
examines
among
529
Nigerian
university,
utilizing
structural
equation
modeling
(SEM)
for
comprehensive
analysis.
The
research
explores
various
dimensions
literacy,
revealing
that
profound
understanding
significantly
predicts
positive
outcomes
use,
detection,
ethics,
creation,
problem-solving.
However,
no
correlation
exists
between
knowledge
emotion
regulation
or
assumption
active
use
enhances
detection
capabilities.
identifies
trade-off
application
emphasizing
ethical
considerations
intertwined
with
emotional
persuasive
facets
use.
It
supports
link
creation
problem-solving,
foundational
role
shaping
diverse
aspects
teachers.
findings
offer
valuable
insights
educators,
administrators,
policymakers,
researchers
aiming
to
enhance
teacher
education
programs.
Computers and Education Open,
Год журнала:
2024,
Номер
6, С. 100191 - 100191
Опубликована: Май 21, 2024
This
study
investigates
the
acceptance
and
utilization
of
artificial
intelligence
(AI)
among
in-service
teachers
in
Lesotho,
focusing
on
mediating
role
school
support
resources
(SSR).
In
Lesotho's
educational
landscape,
which
is
characterized
by
a
growing
interest
technology
integration,
this
fills
an
essential
gap
existing
literature
exploring
teachers'
perspectives
AI
adoption
influence
SSR.
Using
Unified
Theory
Acceptance
Use
Technology
(UTAUT)
as
theoretical
framework,
adopts
cross-sectional
design,
collecting
data
from
sample
315
through
online
surveys.
The
was
analyzed
using
maximum
likelihood
estimation.
results
reveal
substantial
positive
relationship
between
perceived
usefulness,
ease
use,
attitude
towards
AI,
with
SSR
playing
pivotal
complementary
mediator
these
connections.
However,
identifies
non-significant
technical
proficiency
behavioral
intention,
suggesting
need
for
further
investigation
into
skills
effective
integration.
highlight
critical
shaping
intentions
to
use
their
teaching
practices.
As
result,
recommends
tailored
continuous
professional
development
programs
collaborative
learning
communities
enhance
skills.
Additionally,
it
emphasizes
importance
advocating
policies
that
integration
education
underscores
ethical
considerations
related
use.
We
discuss
implications
our
concerning
integrating
practices
schools
outline
future
directions.
Journal for STEM Education Research,
Год журнала:
2024,
Номер
unknown
Опубликована: Апрель 12, 2024
Abstract
Artificial
intelligence
(AI)
is
becoming
increasingly
relevant,
and
students
need
to
understand
the
concept.
To
design
an
effective
AI
program
for
schools,
we
find
ways
expose
knowledge,
provide
learning
opportunities,
create
engaging
experiences.
However,
there
a
lack
of
trained
teachers
who
can
facilitate
students’
learning,
so
focus
on
developing
capacity
pre-service
teach
AI.
Since
engagement
known
enhance
it
necessary
explore
how
engage
in
This
study
aimed
investigate
teachers’
with
after
4-week
at
university.
Thirty-five
participants
took
part
reported
their
perception
7-factor
scale.
The
factors
assessed
survey
included
(cognitive—critical
thinking
creativity,
behavioral,
social),
attitude
towards
AI,
anxiety
readiness,
self-transcendent
goals,
confidence
We
used
structural
equation
modeling
approach
test
relationships
our
hypothesized
model
using
SmartPLS
4.0.
results
supported
all
hypotheses,
attitude,
anxiety,
being
found
influence
engagement.
discuss
findings
consider
implications
practice
policy.
Energies,
Год журнала:
2024,
Номер
17(11), С. 2483 - 2483
Опубликована: Май 22, 2024
This
manuscript
explores
the
relationship
between
economic
awareness
(as
a
part
of
energy
awareness)
Polish
households
and
their
sustainable
consumption
practices.
Sustainable
is
measured
by
frequency
behaviors
such
as
turning
off
electrical
devices
when
not
in
use,
removing
mobile
device
chargers
from
sockets,
switching
lights
leaving
room,
preferring
showers
over
baths,
using
washing
machines
dishwashers
only
full,
purchasing
energy-efficient
appliances
light
bulbs.
Economic
gauged
through
variables
knowledge
electricity
tariffs,
understanding
electric
bill
components,
prices,
exact
expenses,
usage
kWh,
effective
energy-saving
methods,
familiarity
with
efficiency
classes
study
presents
profiles
high
low
regarding
expenditures
examines
how
these
differ
behaviors.
research
based
on
survey
1407
conducted
online
2023.
Data
collected
were
subjected
to
statistical
analysis
are
presented
tables
graphs.
The
findings
discussed
context
existing
literature
field,
highlighting
implications
contributes
influences
among
households,
providing
insights
for
policymakers
conservation
initiatives.
One
key
this
paper
significant
association
awareness,
knowledge,
adoption
households.
reveals
that
higher
levels
demonstrate
notably
practices
related
compared
those
lower
awareness.
Similarly,
equipped
greater
about
techniques
exhibit
propensity
adopt
underscores
important
roles
literacy
education
fostering
behavioral
changes
towards
more
practices,
importance
targeted
interventions
educational
campaigns
aimed
at
enhancing
promoting
consumers.
Journal of Asia Business Studies,
Год журнала:
2025,
Номер
unknown
Опубликована: Янв. 6, 2025
Purpose
Indian
patients
have
different
medicine
systems
available
at
the
service
that
alter
their
healthseeking
behaviour
(HSB).
This
study
aims
to
examine
beliefs
and
of
in
India
towards
healthcare
system
how
it
affects
intention
use
chatbots.
Design/methodology/approach
A
survey
instrument
was
developed
from
standard
scales
validated
by
experts.
The
data
collected
397
respondents
an
urban
area
tested
using
a
structural
equation
model
SAS
JMP
software.
Findings
found
awareness
perception
chatbots
distrust
on
doctors
health
impact
trust
chatbot.
results
show
influences
belief
alternative
HSB
also
influence
findings
imply
health-care
should
cater
medicine.
Research
limitations/implications
conducted
only
among
population
because
services
based
technology
are
more
metro
cities.
Bengaluru
is
considered
representative
India.
Practical
implications
level
disruption
can
provide
makes
this
significant.
will
help
manage
factors
enable
chatbot
inclusivity,
as
current
inaccessible
many
patients.
Originality/value
paper
addresses
identified
need
patients’
disruptions
these
cause
undeniable
eventually
transform
sector.
European Journal of Investigation in Health Psychology and Education,
Год журнала:
2025,
Номер
15(1), С. 6 - 6
Опубликована: Янв. 8, 2025
Artificial
intelligence
(AI)
has
transformed
healthcare,
yet
patients'
acceptance
of
AI-driven
medical
services
remains
constrained.
Despite
its
significant
potential,
patients
exhibit
reluctance
towards
this
technology.
A
notable
lack
comprehensive
research
exists
that
examines
the
variables
driving
resistance
to
AI.
This
study
explores
influencing
adopt
AI
technology
in
healthcare
by
applying
an
extended
Ram
and
Sheth
Model.
More
specifically,
roles
need
for
personal
contact
(NPC),
perceived
technological
dependence
(PTD),
general
skepticism
toward
(GSAI)
shaping
patient
integration.
For
reason,
a
sequential
mixed-method
approach
was
employed,
beginning
with
semi-structured
interviews
identify
adaptable
factors
healthcare.
It
then
followed
survey
validate
qualitative
findings
through
Structural
Equation
Modeling
(SEM)
via
AMOS
(version
24).
The
confirm
NPC,
PTD,
GSAI
significantly
contribute
Precisely,
who
prefer
interaction,
feel
dependent
on
AI,
or
are
skeptical
AI's
promises
more
likely
resist
adoption.
highlight
psychological
offering
valuable
insights
administrators.
Strategies
balance
efficiency
human
mitigate
dependence,
foster
trust
recommended
successful
implementation
adds
theoretical
understanding
Innovation
Resistance
Theory,
providing
both
conceptual
practical
implications
effective
incorporation
Journal of Ecohumanism,
Год журнала:
2025,
Номер
4(1)
Опубликована: Янв. 21, 2025
As
Artificial
Intelligence
(AI)
technologies
are
taking
the
lead
among
technological
advancements
around
world,
societies
increasingly
becoming
interwoven
with
Generative
AI
(GAI)
in
all
aspects,
including
higher
education
(HE).
This
study’s
main
aim
is
to
examine
how
individual-level
cultural
dimensions
influence
students’
adoption
of
GAI
learning,
drawing
on
an
extended
Innovation
Diffusion
Theory
(IDT)
model.
It
explores
impact
(individualism/collectivism
and
uncertainty
avoidance),
IDT
innovation
factors
(relative
advantage,
complexity,
compatibility,
observability,
trialability),
individual
(self-efficacy,
perceived
risk)
Saudi
perceptions
across
several
universities.
Quantitative
data
were
collected
from
306
online
survey
analyzed
using
CB-SEM.
Results
highlight
instrumental
role
dimensions,
individualism/collectivism
avoidance
negatively
affecting
adoption.
While
complexity
showed
no
significant
impact,
other
variables
positively
influenced
Furthermore,
self-efficacy
risk
found
be
indicators
use.
The
study
emphasizes
differences
that
shape
technology
collectivist
moving
toward
individualism
such
as
Saudi.
identifies
limitations,
provides
useful
insights,
suggests
recommendations
for
future
research
uptake
culturally
diverse
HE
contexts.
Journal of Global Information Management,
Год журнала:
2024,
Номер
32(1), С. 1 - 22
Опубликована: Июнь 30, 2024
This
study
expands
the
limited
research
on
chatbots
by
integrating
factors
from
unified
technology
acceptance
and
use
of
(UTAUT)
model
readiness
index
(TRI)
framework
to
explain
individuals'
trust
in
within
an
online
shopping
context.
According
our
findings,
customer
characteristics
(innovativeness
optimism)
positively
affect
customers'
expectations
(effort
as
well
performance
expectations),
whereas
discomfort
negatively
impacts
effort
but
does
not
significantly
expectations.
In
addition,
results
indicate
that
expectancy
will
impact
their
this
technology.
These
outcomes
highlight
importance
individual's
personality
his
which
lead
The
provide
insights
into
building
chatbots,
thus
increasing
willingness
them.
