Frontiers in Psychology,
Год журнала:
2025,
Номер
16
Опубликована: Март 11, 2025
Background
With
the
rising
global
demand
for
medical
syringes
among
children,
unsuitability
of
traditional
may
negatively
affect
their
physical
and
mental
health.
Methods
This
study
integrates
extended
Technology
Acceptance
Model
(TAM)
to
survey
455
child
guardians
on
10
variables
influencing
attitudes
toward
pediatric
syringes.
Results
indicate
that
aesthetic
preferences
users
significantly
influence
price
value
sensitivity
purchasing
decisions
children's
guardians.
Furthermore,
product's
function
shape
users'
behavioral
intentions.
anxiety
time
error
reduction
emerge
as
key
factors
perceived
risks.
Conclusions
offers
product
designers
crucial
insights
into
products,
aims
enhance
development
iteration
efficiency,
promotes
more
accurate
innovation,
decision-making,
communication.
Additionally,
it
proposes
new
recommendations
ethical
marketing
strategies.
Behavioral Sciences,
Год журнала:
2024,
Номер
14(7), С. 612 - 612
Опубликована: Июль 18, 2024
This
study
analyzes
the
perception
and
usage
of
ChatGPT
based
on
technology
acceptance
model
(TAM).
Conducting
reticular
analysis
coincidences
(RAC)
a
convenience
survey
among
university
students
in
social
sciences,
this
research
delves
into
utilization
artificial
intelligence
tool.
The
considers
variables
such
as
gender,
academic
year,
prior
experience
with
ChatGPT,
training
provided
by
faculty.
networks
created
statistical
tool
“CARING”
highlight
role
perceived
utility,
credibility,
shaping
attitudes
behaviors
toward
emerging
technology.
Previous
experience,
familiarity
video
games,
programming
knowledge
were
related
to
more
favorable
towards
ChatGPT.
Students
who
received
specific
showed
lower
confidence
These
findings
underscore
importance
implementing
strategies
that
raise
awareness
about
both
potential
strengths
weaknesses
educational
contexts.
British Educational Research Journal,
Год журнала:
2024,
Номер
unknown
Опубликована: Окт. 19, 2024
Abstract
The
adoption
of
generative
artificial
intelligence
(GAI)
tools,
such
as
ChatGPT,
in
higher
education
presents
numerous
opportunities
and
challenges.
use
GAI
technologies
various
fields,
including
education,
has
accelerated
technology
develops.
widely
used
language
model
developed
by
OpenAI,
become
progressively
more
important,
especially
the
field
education.
This
study
employs
acceptance
to
investigate
factors
influencing
employment
ChatGPT
within
sector
Pakistan.
employed
PLS‐SEM
method
for
probing
data
collected
from
368
Pakistani
university
students.
findings
indicate
that
trust
positively
mediates
affiliation
between
self‐efficacy,
actual
use,
information
interaction.
Further,
usefulness
ease
significantly
moderate
association
self‐efficacy
trust.
Educators
must
encourage
students
safely
preserve
their
critical
thinking,
problem‐solving
abilities
creativity
during
assessments.
contributes
understanding
AI
tools
are
educational
settings
provides
insights
administrators
policymakers
aiming
implement
these
effectively.
Systems,
Год журнала:
2024,
Номер
12(9), С. 332 - 332
Опубликована: Авг. 29, 2024
This
study
investigates
the
factors
influencing
undergraduate
students’
self-directed
learning
(SDL)
abilities
in
generative
Artificial
Intelligence
(AI)-driven
interactive
environments.
The
advent
of
AI
has
revolutionized
environments,
offering
unprecedented
opportunities
for
personalized
and
adaptive
education.
Generative
supports
teachers
delivering
smart
education,
enhancing
acceptance
technology,
providing
personalized,
experiences.
Nevertheless,
application
higher
education
is
underexplored.
explores
how
these
AI-driven
platforms
impact
abilities,
focusing
on
key
teacher
support,
strategies,
technology
acceptance.
Through
a
quantitative
approach
involving
surveys
306
undergraduates,
we
identified
motivation,
technological
familiarity,
quality
interaction.
findings
reveal
mediating
roles
self-efficacy
motivation.
Also,
confirmed
that
improvements
support
strategies
within
AI-enhanced
environments
contribute
to
increasing
self-efficacy,
acceptance,
contributes
uncovering
can
inform
design
more
effective
educational
technologies
enhance
student
autonomy
outcomes.
Our
theoretical
model
research
deepen
understanding
applying
while
important
contributions
managerial
implications.
Journal of theoretical and applied electronic commerce research,
Год журнала:
2025,
Номер
20(1), С. 21 - 21
Опубликована: Фев. 5, 2025
AI-personalized
recommendation
technology
offers
more
accurate
and
diverse
choices
to
consumers
increases
click-through
rates
sales
on
e-commerce
platforms.
Yet,
data
consumers’
experiences
of
recommendations
their
impact
path
clicking
intention
are
scarce.
This
article
addressed
these
issues
through
three
studies.
In
study
1,
we
adopted
the
Grounded
Theory
approach
conduct
in-depth
interviews
with
30
Chinese
constructed
a
scale
measure
consumer
experience
click
intention.
2,
empirical
research
method
reliability
validity
tests
347
valid
questionnaires
finalize
officially.
3,
based
SOR
theory,
model
formulated
hypotheses
then
conducted
analysis
using
1097
questionnaires.
We
found
that
relevance,
inspiration,
insightful
can
significantly
promote
Moreover,
immersive
mediates
between
former
factors
intention,
acceptance
When
perceive
high
degree
information
privacy
infringement,
experience’s
positive
will
be
weakened.
Meanwhile,
promoting
effect
also
inhibited.
quality
improves,
enhanced.
fills
gap
in
literature
clarifies
how
affect
It
valuable
insights
for
platforms
continuously
optimize
personalized
algorithms
boost
conversion
rate
online
shopping.
European Journal of Education,
Год журнала:
2025,
Номер
60(1)
Опубликована: Фев. 14, 2025
ABSTRACT
This
systematic
review
investigates
the
impact
of
generative
artificial
intelligence
(GenAI)
tools
on
developing
academic
skills
in
higher
education.
Analysing
158
studies
published
between
2021
and
2024,
it
focuses
GenAI
development
cognitive,
technical
interpersonal
skills.
The
results
reveal
that
94%
sampled
reported
significant
improvements
cognitive
skills,
like
critical
thinking,
problem‐solving,
analytical
metacognitive
abilities,
facilitated
by
personalised
learning
feedback.
Indeed,
was
research
(24%),
writing
(26%),
data
analysis
(33%)
literacy
(18%).
Additionally,
were
found
to
promote
fostering
interactive
engaging
environments,
with
notable
communication
organisation
empathy
(5%)
teamwork
(45%).
Hence,
this
underscores
importance
ethical
responsible
use
tools,
ongoing
monitoring
active
stakeholder
engagement
maximise
their
benefits
They
offer
a
promising
avenue
for
advancement
enhancing
proficiency
promoting
effective
teamwork.
Therefore,
significantly
enhance
skills;
however,
integration
requires
robust
framework
sustained
examination
long‐term
impacts.
This
study
aims
to
validate
the
applicability
of
technology
acceptance
model
(TAM)
in
context
using
Chat
GPT
as
an
educational
tool.
TAM
serves
theoretical
foundation
for
this
research.
To
investigate
antecedents
acceptance,
focused
on
three
key
attributes:
information
credibility,
enjoyment,
and
responsiveness.
The
moderating
effects
fun
were
explored
another
objective.
Data
collected
through
Amazon
Mechanical
Turk,
resulting
465
valid
responses
statistical
analysis.
research
hypotheses
tested
a
structural
equation
model.
capture
effect
fun,
Hayes’
Process
Macro
Model
1
was
employed.
results
indicate
that
ease
use
positively
affect
usefulness.
Also,
usefulness
is
associated
with
attitude.
learning
related
intention
use.
It
found
negatively
moderates
relationship
between
credibility
well
attitude
provides
insights
program
developers,
offering
clearer
understanding
market
settings.
