Computers in the Schools,
Год журнала:
2024,
Номер
unknown, С. 1 - 21
Опубликована: Дек. 14, 2024
Artificial
intelligence
(AI)
offers
numerous
benefits
to
the
field
of
language
education,
making
it
crucial
understand
factors
influencing
teachers'
adoption
these
technologies.
This
study
investigates
determinants
AI
chatbots
in
educational
settings.
Drawing
on
Unified
Theory
Acceptance
and
Use
Technology
(UTAUT)
Technological
Pedagogical
Content
Knowledge
(TPACK)
framework,
a
comprehensive
model
among
teachers
is
proposed
tested.
Data
were
collected
from
276
Vietnam
through
an
online
survey.
Partial
Least
Square-Structural
Equation
Modeling
(PLS-SEM)
was
employed
analyze
data.
Results
indicate
that
intent
significantly
predicts
integration,
while
performance
expectancy,
effort
self-efficacy
are
key
intent.
AI-TPACK
emerges
as
factor,
strongly
self-efficacy,
expectancy.
Facilitation
found
be
significant
predictor
AI-TPACK.
These
findings
enhance
theoretical
framework
education
provide
valuable
insights
for
fostering
effective
integration
teachers.
BMC Medical Education,
Год журнала:
2024,
Номер
24(1)
Опубликована: Июнь 7, 2024
Abstract
Background
The
rapid
growth
of
artificial
intelligence
(AI)
technologies
has
been
driven
by
the
latest
advances
in
computing
power.
Although,
there
exists
a
dearth
research
on
application
AI
medical
education.
Methods
this
study
is
based
TAM-ISSM-UTAUT
model
and
introduces
STARA
awareness
chilling
effect
as
moderating
variables.
A
total
657
valid
questionnaires
were
collected
from
students
university
Dalian,
China,
data
statistically
described
using
SPSS
version
26,
Amos
3.0
software
was
used
to
validate
model,
well
moderated
effects
analysis
Process
(3.3.1)
software,
Origin
(2021)
software.
Results
findings
reveal
that
both
information
quality
perceived
usefulness
are
pivotal
factors
positively
influence
willingness
use
products.
It
also
uncovers
awareness.
Conclusions
This
suggests
enhancing
can
be
key
strategy
encourage
widespread
Furthermore,
investigation
offers
valuable
insights
into
intersection
education
standpoint
students.
may
prove
pertinent
shaping
promotion
Medical
Education
Intelligence
future.
This
study
aims
to
explore
the
mediating
role
of
confidence
and
artificial
intelligence
(AI)
readiness
in
university
teachers'
behavioral
intention
adopt
AI
technology,
providing
empirical
support
for
enhancing
willingness
use
technology
from
both
theoretical
practical
perspectives.
used
a
random
sampling
method
conduct
an
online
survey
504
teachers,
assessing
impact
subjective
norms
on
intention.
The
included
scales
norms,
confidence,
readiness,
Data
analysis
was
performed
using
AMOS
26,
SPSS
Statistics
27
software
Model
6
PROCESS
4.0
plugin,
aiming
investigate
between
Subjective
were
found
have
significant
positive
correlation
with
indirectly
influenced
through
or
readiness.
Confidence
played
chain-mediating
relationship
(β
=
0.0324,
95%
CI:
[0.0129,
0.0551]),
accounting
12.87%
total
effect.
reveals
indicating
that
not
only
directly
enhance
but
also
exert
indirect
effects
single
chain
mediation
findings
highlight
critical
intention,
suggesting
effectively
increase
it
is
important
focus
improving
their
thereby
strengthening
norms.
