International Journal of Information and Learning Technology,
Год журнала:
2024,
Номер
unknown
Опубликована: Дек. 12, 2024
Purpose
Educators
are
raising
ethical
concerns
over
the
use
of
ChatGPT
in
schools.
They
have
implemented
various
strategies
to
minimize
its
use,
particularly
by
labeling
ChatGPT-produced
work
as
plagiarism.
However,
among
students
is
still
on
rise.
Our
study
aims
find
behavioral
motivation
behind
students’
increased
ChatGPT.
Design/methodology/approach
We
PLS-SEM
analyze
survey
responses
from
250
participants
a
liberal
arts
university
USA.
Findings
Students’
self-congruency
influences
their
attitude
and
intention
toward
Students
because
they
higher
similarity
between
personality
persona
depicted
So,
educators
must
consider
creative
assignments
that
cannot
be
solved
using
any
other
deterrence
will
not
Originality/value
To
best
our
knowledge,
this
first
research
incorporate
integrate
antecedents
education
sector.
Education Sciences,
Год журнала:
2024,
Номер
14(9), С. 959 - 959
Опубликована: Авг. 30, 2024
The
transformative
integration
of
artificial
intelligence
(AI)
into
educational
settings,
exemplified
by
ChatGPT,
presents
a
myriad
ethical
considerations
that
extend
beyond
conventional
risk
assessments.
This
study
employs
pioneering
framework
encapsulating
risk,
reward,
and
resilience
(RRR)
dynamics
to
explore
the
landscape
ChatGPT
utilization
in
education.
Drawing
on
an
extensive
literature
review
robust
conceptual
framework,
research
identifies
categorizes
concerns
associated
with
offering
decision-makers
structured
approach
navigate
this
intricate
terrain.
Through
Analytic
Hierarchy
Process
(AHP),
prioritizes
themes
based
global
weights.
findings
underscore
paramount
importance
elements
such
as
solidifying
values,
higher-level
reasoning
skills,
transforming
educative
systems.
Privacy
confidentiality
emerge
critical
concerns,
along
safety
security
concerns.
work
also
highlights
reward
elements,
including
increasing
productivity,
personalized
learning,
streamlining
workflows.
not
only
addresses
immediate
practical
implications
but
establishes
theoretical
foundation
for
future
AI
ethics
Applied System Innovation,
Год журнала:
2024,
Номер
7(6), С. 110 - 110
Опубликована: Ноя. 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.
Frontiers in Psychology,
Год журнала:
2025,
Номер
15
Опубликована: Янв. 20, 2025
Large
language
models
(LLMs),
represented
by
ChatGPT,
are
one
of
the
most
significant
technological
breakthroughs
in
generative
AI
and
have
begun
to
be
applied
EFL
writing
instruction.
The
advent
LLMs
presents
both
opportunities
challenges
for
learners,
underscoring
importance
empirical
evidence
on
their
motivation
acceptance
using
learning
English
academic
writing.
This
study
recruited
238
participants
who
had
completed
semester
training
business-related
Participants
answered
question
items
based
L2
Motivational
Self
System
Unified
Theory
Acceptance
Use
Technology
(UTAUT).
Partial
least
squares
structural
equation
modeling
(PLS-SEM)
was
employed
examine
relationships
between
variables
motivation,
region,
previous
experience,
UTAUT
model.
Additionally,
moderating
effect
relationship
four
determinants,
behavioral
intention,
use
behavior
tested.
results
show
that
performance
expectancy
social
influence
significantly
affect
learners’
intention
LLMs.
Moreover,
proved
a
key
factor
shaping
actual
behavior,
highlighting
its
crucial
role
adoption
technology
Advances in computational intelligence and robotics book series,
Год журнала:
2025,
Номер
unknown, С. 223 - 248
Опубликована: Апрель 8, 2025
data,
including
Big
4
accounting
firms'
AI
commentaries,
are
analyzed
using
thematic
procedures
and
Python
textacy.
Generative
supports
financial
reporting,
strategic
decision-making,
risk
compliance,
fraud
examination.
It
is
noted
that
application
in
also
poses
risks
such
as
security
vulnerabilities,
reliability,
accuracy,
privacy
concerns.
Human
oversight
needed
to
mitigate
these
maximize
AI's
potential.
While
enhances
tasks,
it
threatens
information
quality.
A
cautious
approach
with
human
intervention
recommended
ensure
confidentiality,
privacy,
effective
internal
controls.
