JMIR Aging,
Journal Year:
2024,
Volume and Issue:
unknown
Published: May 14, 2024
Hospital
discharge
for
older
adult
patients
carries
risks.
Effective
patient-provider
communication
is
crucial
postacute
care.
Technology-based
tools
are
promising
in
improving
patient
experience
and
outcomes.
However,
there
limited
evidence
comparing
provider
user
experiences
on
a
large-scale
basis,
hindering
the
exploration
of
true
shared
understanding.
This
study
aimed
to
evaluate
an
electronic
health
record-based
tool
by
examining
perspectives.
comprised
cross-sectional
self-administered
staff
survey
pre-post
survey.
Physicians,
nurses,
aged
65
years
discharged
from
4
public
hospitals
were
included.
Patient-provider
comparison
items
focused
3
aspects
design
quality
(information
clarity,
adequacy,
usefulness)
overall
satisfaction
with
tool.
In
addition,
patients'
information
their
medication-taking
behaviors
before
after
program
implementation
compared
based
validated
local
instrument.
Providers'
perceived
usefulness
this
work
intentions
measured
technology
acceptance
model
enhance
understanding
conducting
structural
equation
modeling
analysis.
A
total
1375
2353
valid
responses
received
providers
patients,
respectively.
Patients'
significantly
higher
than
providers',
rated
clarity
presented
as
well
(P<.001).
adequacy
lower
Meanwhile,
reported
significant
improvement
medication
information,
fewer
side
effects
encounters
(126/1083,
11.6%
vs
111/1235,
9%;
P=.04).
showed
inconsistent
fidelity.
(β
coefficient=0.24,
95%
CI
0.08-0.40)
coefficient=0.57,
0.43-0.71)
impacted
satisfaction.
Satisfaction
can
impact
coefficient=0.40,
0.17-0.64),
which
further
impacts
coefficient=0.16,
0.10-0.23).
notable
disparity
exists
between
care
providers.
may
hinder
achievement
tool's
benefits.
Future
research
should
aim
comprehensive
overview
barriers
corresponding
strategies
performance
facilitate
Cogent Education,
Journal Year:
2025,
Volume and Issue:
12(1)
Published: Jan. 4, 2025
This
study
aims
to
reveal
the
use
of
artificial
intelligence
(AI)
in
accounting
classes,
analyze
factors
that
influence
educators
AI
continuously
learning,
and
describe
challenges
ethics
developing
AI.
The
research
population
is
(teachers
lecturers)
Indonesia
who
are
members
Professional
Alliance
Accounting
Educators
throughout
Indonesia.
sampling
method
used
was
purposive
sampling.
data
collection
a
questionnaire
distributed
online
via
Google
form
platform,
which
gathered
230
responses,
including
146
teachers
84
lecturers.
descriptive
analysis
structural
equation
model
were
data.
findings
show
Canva
most
widely
tool,
followed
by
ChatGPT.
Teachers
lecturers
primarily
create
learning
materials
write
academic
articles.
results
only
performance
expectancy
gender
significantly
impact
intention
education.
Conversely,
competence
key
affecting
actual
usage
behavior
learning.
In
addition,
various
exist
using
AI,
issues
related
effectiveness
efficiency,
IT
ethics,
fostering
student
engagement
interaction.
Behavioral Sciences,
Journal Year:
2024,
Volume and Issue:
14(7), P. 612 - 612
Published: July 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.
European Journal of Education,
Journal Year:
2025,
Volume and Issue:
60(1)
Published: Jan. 17, 2025
ABSTRACT
The
benefits
of
Generative
Artificial
Intelligence
(GenAI)
in
enhancing
second
language
(L2)
learning
are
well
established.
However,
these
advantages
can
only
be
realised
if
learners
willing
to
adopt
the
technology.
This
study,
grounded
Theory
Planned
Behaviour
(TPB),
investigated
factors
influencing
behavioural
intention
use
GenAI
among
337
Chinese
college
L2
using
five
validated
scales.
A
Structural
Equation
Modelling
(SEM)
approach
with
Amos
24
yielded
several
key
findings.
Notably,
demographic
encompassing
gender
and
age
did
not
significantly
affect
TPB
components.
Subjective
norm
attitude
were
found
have
a
positive
significant
impact
on
intention,
while
perceived
control
demonstrate
effect.
Furthermore,
literacy
emerged
as
predictor
both
directly
indirectly
through
its
influence
attitude.
Collectively,
variables
accounted
for
51.6%
variance
intention.
study
also
discusses
theoretical
pedagogical
implications
offers
suggestions
future
research.
Computers and Education Open,
Journal Year:
2024,
Volume and Issue:
6, P. 100190 - 100190
Published: May 29, 2024
The
integration
of
artificial
intelligence
into
education
has
emerged
as
a
promising
avenue
for
enriching
teaching
and
learning
experiences.
Nevertheless,
the
successful
implementation
in
educational
contexts
hinges
upon
various
factors,
one
which
is
perspective
instructors.
With
this
mind,
study
aimed
to
examine
perspectives
536
instructors
STEM
non-STEM
disciplines
regarding
AI
integration.
respondents'
thoughts,
opinions,
concerns
advantages,
disadvantages
challenges
were
gathered
through
an
online
questionnaire
featuring
both
closed
open-ended
questions.
Additionally,
series
semi-structured
interview
sessions
conducted
with
cohort
collect
qualitative
quantitative
data.
findings
revealed
that
expressed
positive
attitudes
toward
technologies
education.
However,
notable
differences
responses
also
identified
relation
perceived
capabilities
limitations
within
contexts.
results
further
elucidated
spectrum
opinions
on
benefits
(e.g.,
scalability
tirelessness),
drawbacks
deepfake
technology
comfort-seeking
behavior),
potential
disillusionment
espionage)
associated
concluded
by
discussing
implications
these
offering
recommendations
effective
ethical
classrooms.
Applied System Innovation,
Journal Year:
2024,
Volume and Issue:
7(6), P. 110 - 110
Published: Nov. 7, 2024
This
narrative
review
synthesizes
and
analyzes
empirical
studies
on
the
adoption
acceptance
of
ChatGPT
in
higher
education,
addressing
need
to
understand
key
factors
influencing
its
use
by
students
educators.
Anchored
theoretical
frameworks
such
as
Technology
Acceptance
Model
(TAM),
Unified
Theory
Use
(UTAUT),
Diffusion
Innovation
(DoI)
Theory,
Technology–Organization–Environment
(TOE)
model,
Planned
Behavior,
this
highlights
central
constructs
shaping
behavior.
The
confirmed
include
hedonic
motivation,
usability,
perceived
benefits,
system
responsiveness,
relative
advantage,
whereas
effects
social
influence,
facilitating
conditions,
privacy,
security
vary.
Conversely,
technology
readiness
extrinsic
motivation
remain
unconfirmed
consistent
predictors.
study
employs
a
qualitative
synthesis
40
peer-reviewed
studies,
applying
thematic
analysis
uncover
patterns
driving
adoption.
findings
reveal
that,
while
traditional
models
offer
valuable
insights,
deeper
exploration
contextual
psychological
is
necessary.
study’s
implications
inform
future
research
directions
institutional
strategies
for
integrating
AI
support
educational
innovation.
Advances in computational intelligence and robotics book series,
Journal Year:
2025,
Volume and Issue:
unknown, P. 1 - 14
Published: March 14, 2025
Artificial
intelligence
has
ushered
in
numerous
possibilities
for
contemporary
educational
situations.
The
advent
of
ChatGPT
was
one
the
landmarks
last
five
years.
Recently,
inception
DeepSeek
brought
attraction
and
variation
Large
Learning
Model
(LLMs)
Generative
AI
context.
This
investigation
strives
to
look
at
opportunities
challenges
employing
English
language
classes.
population
study
from
Pakistan
whereas
sample
size
were
100
learners
studying
an
classroom.
Applying
quantitative
methods,
data
collected
by
a
questionnaire
later
SPSS25
used
analysis.
results
revealed
that
appreciated
this
latest
tool
they
found
it
cheaper,
accurate,
supportive,
effective,
easy-going
conversational
application.
preferred
over
because
several
reasons.
also
mirrored
their
tilt
towards
integration
learning
with
open-access.
Smart Learning Environments,
Journal Year:
2024,
Volume and Issue:
11(1)
Published: Nov. 7, 2024
Abstract
ChatGPT,
a
sophisticated
artificial
intelligence
(AI)
chatbot
capable
of
providing
personalised
responses
to
users’
inquiries,
recently
has
had
substantial
impact
on
education.
Many
studies
have
explored
the
use
ChatGPT
in
English
as
second
language
(ESL)
and
foreign
(EFL)
education
since
its
release
30
November
2022.
However,
there
been
lack
systematic
reviews
summarising
both
current
knowledge
gaps
this
research
area.
This
review
analyses
70
empirical
related
ESL/EFL
within
1.5-year
period
following
release.
Using
Technology-based
Learning
Model,
we
provide
comprehensive
overview
domains
which
applied,
methodological
approaches,
associated
issues.
The
included
collectively
solid
evidence
regarding
affordances
(e.g.,
increased
learning
opportunities,
learning,
teacher
support)
potential
drawbacks
incorrect
information,
privacy
leakage,
academic
dishonesty)
our
findings
indicate
that
majority
focused
students’
AI
tool
writing,
while
few
quantitatively
examined
effects
performance
motivation.
In
addition,
other
skills,
such
reading,
speaking,
listening,
remains
under-researched.
Therefore,
recommend
longer-term
with
rigorous
designs
quasi-experimental
designs)
objective
data
sources
standardised
tests)
be
conducted
more
robust
influence
acquisition.
