The
introduction
of
ChatGPT
in
academia
has
raised
significant
concerns,
particularly
regarding
issues
like
plagiarism
and
the
ethical
use
generative
text
for
academic
purposes.
Existing
literature
predominantly
focused
on
adoption,
leaving
a
notable
gap
addressing
strategies
users
employ
to
mitigate
these
emerging
challenges.
To
bridge
this
gap,
research
utilizes
Uncertainty
Reduction
Theory
(URT)
formulate
user
reducing
uncertainty.
These
include
both
interactive
passive
approaches.
Concurrently,
study
identifies
key
sources
uncertainty,
which
concerns
related
transparency,
information
accuracy,
privacy.
Additionally,
it
introduces
concepts
seeking
clarification
consulting
peer
feedback
as
mediating
roles
facilitate
reduced
We
tested
hypotheses
with
sample
Indonesian
(N
=
566)
using
structural
equation
modeling
via
Smart-PLS
4.0
software.
results
confirm
that
Strategies
(URS)
are
more
effective
uncertainty
when
compared
URS.
Transparency
privacy
identified
factors
increase
level
In
contrast,
is
most
strategy
at
individual-system
level.
Insights
from
effects
significantly
mediates
reduce
discusses
various
by
educational
context
contributes
theoretical
development.
Computers & Education,
Год журнала:
2024,
Номер
219, С. 105100 - 105100
Опубликована: Июнь 8, 2024
ChatGPT,
a
state-of-the-art
artificial
intelligence
(AI)
chatbot,
has
gained
considerable
attention
as
transformative
yet
controversial
tool
for
enhancing
teaching
and
learning
experiences.
Several
reviews
numerous
articles
have
been
written
about
harnessing
ChatGPT
in
education
since
its
release
on
November
30,
2022.
Besides
summarising
strengths,
weaknesses,
opportunities,
threats
(SWOT)
identified
previous
systematic
of
research,
this
review
aims
to
develop
new
understanding
influence
student
engagement
by
synthesising
the
existing
related
research
using
three-dimensional
framework
comprising
behavioural,
emotional,
cognitive
aspects.
We
searched
relevant
databases
included
72
empirical
studies
published
within
one
year
ChatGPT's
initial
release.
The
findings
reveal
robust
but
narrowly
focused
evidence
behavioural
(i.e.,
work
with
ChatGPT)
disengagement
academic
dishonesty).
emotional
aspect
is
mixed,
instances
both
(e.g.,
satisfaction
interest/fun)
disappointment
worry/anxiety).
There
broad
weak
regarding
increased
positive
self-perception)
reduced
critical
thinking
overreliance).
Our
uncovers
several
under-explored
indicators
engagement,
pointing
need
further
research.
Specifically,
future
could
focus
students'
study
habits
attendance
(behavioural
engagement),
social
interaction
(emotional
self-regulation
(cognitive
engagement)
ChatGPT-supported
environments.
Heliyon,
Год журнала:
2024,
Номер
10(11), С. e31887 - e31887
Опубликована: Май 25, 2024
AI-powered
chatbots
hold
great
promise
for
enhancing
learning
experiences
and
outcomes
in
today's
rapidly
evolving
education
system.
However,
despite
the
increasing
demand
such
technologies,
there
remains
a
significant
research
gap
regarding
factors
influencing
users'
acceptance
adoption
of
educational
contexts.
This
study
aims
to
address
this
by
investigating
that
shape
attitudes,
intentions,
behaviors
towards
adopting
ChatGPT
smart
systems.
employed
quantitative
approach,
data
were
collected
from
458
participants
through
structured
questionnaire
designed
measure
various
constructs
related
technology
acceptance,
including
perceived
ease
use,
usefulness,
feedback
quality,
assessment
subject
norms,
attitude
behavioral
intention
use
ChatGPT.
Structural
model
analysis
(SEM)
Statistical
techniques
then
utilized
examine
relationships
between
these
constructs.
The
findings
revealed
Perceived
usefulness
emerged
as
predictors
attitudes
education.
Additionally,
norms
found
positively
influence
intentions
purposes.
Moreover,
significantly
proved
actual
few
hypotheses,
relationship
trust
not
supported
data.
contributes
existing
body
information
systems
applications
determining
factor
context.
Behaviour and Information Technology,
Год журнала:
2024,
Номер
unknown, С. 1 - 22
Опубликована: Фев. 16, 2024
The
present
research
aims
to
highlight
the
underlying
factors
that
drive
students'
adoption
of
ChatGPT
chatbot
in
higher
education.
This
study
extends
meta-UTAUT
framework
by
including
additional
exogenous
anthropomorphism,
trust,
design
novelty,
and
institutional
policy.
Empirical
examination
with
Structural
Equation
Modelling
among
355
students
Dutch
education
institutions
revealed
attitude
behavioural
intention
as
significant
positive
predictors
use
behaviour.
Institutional
policy
negatively
moderated
effect
on
Behavioural
was
significantly
positively
influenced
attitude,
performance
expectancy,
social
influence,
facilitating
conditions.
Anthropomorphism,
effort
expectancy
were
unveiled
antecedents
attitude.
central
theoretical
contributions
this
include
investigating
behaviour
instead
intention,
establishing
a
core
construct,
underlining
highlighting
importance
contributes
prior
technology
adoption,
especially
area
artificial
intelligence
findings
yield
valuable
insights
for
designers,
product
managers,
writers.
International Journal of Human-Computer Interaction,
Год журнала:
2024,
Номер
unknown, С. 1 - 15
Опубликована: Фев. 22, 2024
In
the
rapidly
evolving
landscape
of
technology,
emergence
Chat
Generative
Pre-trained
Transformer
(ChatGPT)
marks
a
pivotal
milestone
in
realm
Artificial
Intelligence
(AI).
However,
little
research
has
reported
predictors
people's
intentions
to
use
ChatGPT.
This
pioneering
study
empirically
examines
user
adoption
through
lens
Technology
Acceptance
Model
(TAM)
using
convenience
sampling
method.
The
surveyed
784
ChatGPT
users
China,
whom
58.93%
were
males.
results
have
revealed
several
key
findings:
(1)
perceived
usefulness,
ease
use,
behavioral
intention,
and
behavior
positively
correlated
with
each
other;
(2)
intention
acted
as
mediating
factor
relationship
between
usefulness
behavior,
well
behavior;
(3)
played
chain-mediated
role
(4)
exhibited
greater
strength
among
females
compared
males;
(5)
association
was
found
be
stronger
urban
comparison
their
rural
counterparts;
(6)
connections
observed
individuals
higher
educational
backgrounds
relative
those
lower
backgrounds.
These
findings
provide
crucial
nuanced
insights
advance
practical
application
ChatGPT,
emphasizing
need
for
enhanced
usability
use.
this
exclusively
captured
usage
behaviors
within
Chinese
base.
Future
investigations
could
encompass
diverse
demographics
across
multiple
countries,
enabling
cross-cultural
comparisons.
International Journal of Educational Technology in Higher Education,
Год журнала:
2024,
Номер
21(1)
Опубликована: Июль 30, 2024
Abstract
As
technology
continues
to
advance,
the
integration
of
generative
artificial
intelligence
tools
in
various
sectors,
including
education,
has
gained
momentum.
ChatGPT,
an
extensively
recognized
language
model
created
by
OpenAI,
significant
importance,
particularly
education.
This
study
investigates
awareness,
acceptance,
and
adoption
a
state-of-the-art
developed
higher
education
institutions
across
China.
applies
partial
least
squares
structural
equation
modeling
(PLS-SEM)
method
for
examining
data
collected
from
320
Chinese
university
students.
The
study’s
conceptual
framework
integrates
key
determinants
Technology
Acceptance
Model
(TAM)
extends
it
incorporating
perceived
as
critical
factor
process.
findings
reveal
that
ChatGPT
awareness
significantly
influences
intention
adopt
ChatGPT.
Perceived
ease
use,
usefulness,
mediate
association
between
Additionally,
trust
moderates
relationship
intelligence.
Moving
forward,
order
maintain
students’
thinking
skills
inventiveness
their
assessment
writing,
assessments
must
promote
safe
use
Therefore,
educators
will
be
crucial
ensuring
are
used
ethically
suitably
providing
clear
guidelines
instructions.
Computers and Education Artificial Intelligence,
Год журнала:
2024,
Номер
6, С. 100246 - 100246
Опубликована: Май 27, 2024
•
Trust
is
the
strongest
predictor
of
ChatGPT
adoption
in
assessments
Moral
obligation
barrier
acceptance
for
assessment
support
Perceived
risk
a
significant
demotivator
but
not
mediator
between
trust
and
use
intention
Recommending
clear
guidelines
on
responsible
university
workshops
about
ethical
AI
Scientific Reports,
Год журнала:
2023,
Номер
13(1)
Опубликована: Дек. 19, 2023
Abstract
With
the
rapid
advancements
in
AI
technology
and
its
growing
impact
on
various
aspects
of
daily
life,
understanding
factors
that
influence
users'
adoption
intention
becomes
essential.
This
study
focuses
determinants
affecting
ChatGPT,
an
AI-driven
language
model,
among
university
students.
The
research
extends
Technology-Organization-Environment
(TOE)
framework
by
integrating
concept
knowledge
application.
A
cross-sectional
design
was
employed,
gathering
data
through
a
survey
conducted
to
Structural
equation
modeling
used
analyze
data,
aimed
at
examining
relationships
between
key
influencing
intention.
findings
this
indicate
such
as
network
quality,
accessibility,
system
responsiveness
contribute
satisfaction.
Furthermore,
satisfaction,
organizational
culture,
social
influence,
application
significantly
affect
These
offer
both
theoretical
practical
implications.
Journal of Personalized Medicine,
Год журнала:
2024,
Номер
14(4), С. 354 - 354
Опубликована: Март 28, 2024
The
integration
of
Artificial
Intelligence
(AI)
into
healthcare
has
the
potential
to
revolutionize
medical
diagnostics,
particularly
in
specialized
fields
such
as
Ear,
Nose,
and
Throat
(ENT)
medicine.
However,
successful
adoption
AI-assisted
diagnostic
tools
ENT
practice
depends
on
understanding
various
factors;
these
include
influences
their
effectiveness
acceptance
among
professionals.
This
cross-sectional
study
aimed
assess
usability
AI
practice,
determine
clinical
impact
accuracy
diagnostics
ENT,
measure
trust
confidence
professionals
tools,
gauge
overall
satisfaction
outlook
future
identify
challenges,
limitations,
areas
for
improvement
diagnostics.
A
structured
online
questionnaire
was
distributed
600
certified
with
at
least
one
year
experience
field.
assessed
participants’
familiarity
usability,
impact,
trust,
satisfaction,
identified
challenges.
total
458
respondents
completed
questionnaire,
resulting
a
response
rate
91.7%.
majority
reported
(60.7%)
perceived
them
generally
usable
clinically
impactful.
challenges
existing
systems,
user-friendliness,
accuracy,
cost
were
identified.
Trust
levels
varied
participants,
concerns
regarding
data
privacy
support.
Geographic
setting
differences
influenced
perceptions
experiences.
highlights
diverse
experiences
While
there
is
general
enthusiasm
related
integration,
need
be
addressed
widespread
adoption.
These
findings
provide
valuable
insights
developers,
policymakers,
providers
aiming
enhance
role
practice.
Future Internet,
Год журнала:
2023,
Номер
16(1), С. 4 - 4
Опубликована: Дек. 23, 2023
After
the
introduction
of
ChatGPT
conversational
artificial
intelligence
(CAI)
tool
in
November
2022,
there
has
been
a
rapidly
growing
interest
use
such
tools
higher
education.
While
educational
uses
some
other
information
technology
(IT)
(including
collaboration
and
communication
tools,
learning
management
systems,
chatbots,
videoconferencing
tools)
have
frequently
evaluated
regarding
acceptance
usability
attributes
those
technologies,
similar
evaluations
CAI
services
like
ChatGPT,
Bing
Chat,
Bard
only
recently
started
to
appear
scholarly
literature.
In
our
study,
we
present
newly
developed
set
assessment
scales
that
are
related
user
experiences
when
used
by
university
students,
as
well
results
evaluation
these
specifically
Chat
(i.e.,
Microsoft
Copilot).
The
following
were
using
convenience
sample
(N
=
126)
education
students:
Perceived
Usefulness,
General
Usability,
Learnability,
System
Reliability,
Visual
Design
Navigation,
Information
Quality,
Display,
Cognitive
Involvement,
Appeal,
Trust,
Personification,
Risk
Perception,
Intention
Use.
For
most
aforementioned
scales,
internal
consistency
(Cronbach
alpha)
was
range
from
satisfactory
good,
which
implies
their
potential
usefulness
for
further
studies
tools.
A
stepwise
linear
regression
revealed
influential
predictors
Use
(or
ChatGPT)
future
variable
Usefulness
two
experience
variables—Trust
Appeal.
Also,
study
students’
perceptions
various
specific
characteristics
predominantly
positive.
could
be
beneficial
research
would
include
ChatGPT/GPT-4
Bard.
