ChatGPT,
an
artificial
intelligence-powered
chatbot,
has
a
huge
language
model
that
allows
it
to
generate
original
content
in
response
user
prompts.
ChatGPT
can
help
with
learning,
writing,
and
assignment
completion.
The
objective
of
this
research
is
examine
the
factors
impact
intention
students
use
within
context
higher
education.
Students'
was
investigated
through
application
unified
theory
acceptance
technology
(UTAUT)
model,
which
personal
innovativeness
information
accuracy
were
added
as
extension
factors.
partial
least
squares
structural
equation
modeling
(PLS-SEM)
method
employed
analyze
data
collected
from
115
IT
students.
results
show
performance
expectancy,
social
influence,
innovativeness,
significantly
influence
ChatGPT.
However,
indicate
unaffected
by
effort
expectancy
facilitating
conditions
constructs.
Given
relatively
new
technology,
anticipated
study
will
serve
foundation
for
further
on
or
similar
AI
technologies
European Journal of Education,
Год журнала:
2025,
Номер
60(1)
Опубликована: Янв. 7, 2025
ABSTRACT
Artificial
intelligence
(AI)
has
extensively
developed,
impacting
different
sectors
of
society,
including
higher
education,
and
attracted
the
attention
various
educational
stakeholders,
leading
to
a
growing
number
research
on
its
integration
into
education.
Hence,
this
systematic
literature
review
examines
impact
integrating
AI
tools
in
education
students'
personal
collaborative
learning
environments.
Analysis
148
articles
published
between
2021
2024
indicates
that
Tools
improve
personalised
assessments,
communication
engagement,
scaffolding
performance
motivation.
Additionally,
they
promote
environment
by
providing
peer‐learning
opportunities,
enhanced
learner‐content
interaction
cooperative
support.
Indeed,
strategies
such
as
skills
development,
ethical
use,
academic
integrity
instructional
content
design.
Acknowledged
limitations
include
considerations,
particularly
privacy
bias,
which
require
ongoing
attention.
it
is
recommended
create
good
balance
AI‐mediated
human
environments,
key
area
future
exploration.
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
European Journal of Education,
Год журнала:
2025,
Номер
60(1)
Опубликована: Янв. 27, 2025
ABSTRACT
The
acceptance
of
artificial
intelligence
(AI)
in
academic
settings,
particularly
the
context
research
creativity,
is
a
growing
area
interest.
This
study
aimed
to
design
and
validate
AI
Acceptance
Research
Creativity
Scale
(AIA&RCS)
among
faculty
members.
exploratory
mixed‐method
was
conducted
720
A
literature
review
participant
interviews
were
qualitative
phase
generate
develop
items.
In
quantitative
phase,
face
validity,
content
construct
convergent
validity
reliability
(internal
consistency
stability)
used.
Exploratory
factor
analysis
(EFA)
indicated
4‐factor
model
scale
with
‘perceived
usefulness
effectiveness
creativity’,
‘ethical
issues
research’,
‘trusted
capabilities’
‘willingness
use
AI’
accounting
for
51.6%
variance.
arrangement
verified
by
confirmatory
(CFA),
fit
indices
that
at
suitable
levels.
Then,
network
took
into
account
four‐factor
structure
AIA&RCS
further.
Similarly,
graph
(EGA)
configuration
AIA&RCS.
25‐item
well‐suited
measuring
innovation
because
its
psychometrics.
Journal of Lifestyle and SDGs Review,
Год журнала:
2025,
Номер
5(1), С. e04887 - e04887
Опубликована: Янв. 30, 2025
Objective:
Academic
dishonesty
is
a
prevalent
issue
within
educational
institutions,
often
driven
by
both
internal
and
external
factors.
This
study
aims
to
analyze
the
impact
of
self-efficacy
economic
literacy
on
academic
among
students,
with
procrastination
as
mediating
variable.
The
research
focuses
students
from
Economics
Education
Department
at
Universitas
Negeri
Surabaya.
Theoretical
Framework:
identified
strong
predictor
dishonesty,
highlighting
that
who
delay
tasks
are
more
prone
dishonest
actions
deadlines
approach.
Method:
employs
quantitative
approach
using
Structural
Equation
Modeling
(SEM)
Partial
Least
Squares
(PLS)
relationships
between
latent
variables.
Data
were
collected
sample
181
selected
through
random
sampling
total
population
339
students.
Results
Discussion:
findings
reveal
has
significant
negative
effect
while
does
not
directly
influence
dishonesty.
However,
significantly
mediates
relationship
but
it
mediate
Research
Implications:
concludes
plays
crucial
role
in
reducing
whereas
indirectly
impacts
procrastination.
highlights
importance
addressing
strategies
combat
Originality/Value:
contributes
existing
body
knowledge
providing
novel
insights
into
efforts
should
focus
only
enhancing
students'
confidence
their
abilities
also
tendencies
targeted
interventions
pathway
achieving
SDG
4
goals.
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.
Purpose
This
study
used
extended
Unified
Theory
of
Acceptance
and
Use
Technology
(UTAUT)
model
to
examine
the
effect
personal
expectancy
(PE),
efforts
(EE),
social
influence
(SI),
facilitating
conditions
(FC),
hedonic
motivation
(HM),
price
value
(PV)
habit
(H)
on
behavioural
intention
(BI)
use
Chat
Generative
Pre-Trained
Transformer
(ChatGPT)
in
higher
education
for
an
Indian
context.
The
also
examined
moderating
effects
students’
self-innovativeness
(SIN)
integrity
(INT)
relationship
between
BI
behaviour
(UB)
ChatGPT.
Design/methodology/approach
A
sample
311
students
has
been
selected
from
Northern
states
India
by
applying
stratified
proportionate
random
sampling
method
four
disciplines
–
engineering,
business
administration,
science
fine
arts
were
as
different
strata
selection
process.
Partial
least
squares
structural
equation
modelling
(PLS-SEM)
approach
data
analysis
assess
proposed
theoretical
model.
Findings
found
PE,
FC,
PV
H
significantly
account
actual
ChatGPT,
whereas
EE,
SI
HM
showed
a
negligible
impact
BI.
was
non-significant
predicting
usage
moderation
SIN
INT
UB.
Research
limitations/implications
limited
size
its
focus
constrain
generalizability
findings
other
parts
world.
Originality/value
helps
understand
nuances
associated
with
advanced
artificial
intelligence
(AI)-driven
tool
such
ChatGPT
application
best-practices.
Therefore,
this
aims
bridge
gap
examining
determinants
version
UTAUT
context
using
additional
constructs
INT.
