Entrepreneurial Business and Economics Review,
Год журнала:
2024,
Номер
12(2), С. 129 - 142
Опубликована: Янв. 1, 2024
Objective:
The
objective
of
the
article
is
to
adopt
theory
planned
behaviour
explore
how
ChatGPT
adoption
in
entrepreneurship
can
inspire
individuals'
intentions
become
digital
entrepreneurs
underlying
nuanced
mediation
mechanism
psychological
and
cognitive
constructs
(attitude
towards
entrepreneurship,
subjective
norms,
perceived
behavioural
control).
Research
Design
&
Methods:
Drawing
on
sample
604
higher
education
students
at
six
universities
Vietnam,
I
used
Cronbach's
alpha
confirmatory
factor
analysis
test
construct's
consistent
reliability
validity.
Then,
multiple
regression
hypotheses.
Findings:
Results
current
research
reported
that
significantly
positively
affects
attitudes
control,
entrepreneurial
intentions.
Interestingly,
three
core
antecedents
mediate
impacts
Implications
Recommendations:
practical
takeaways
include
enhancing
with
tech-positive
modules,
personalized
guidance
for
entrepreneurs,
hands-on
skill
development
through
workshops,
AI-friendly
policies
business
integration.
Contribution
Value
Added:
first
study
which
provides
empirical
evidence
indicating
which,
turn,
their
Thus,
these
findings
contribute
extent
literature,
especially
landscape
AI
revolution.
Social Sciences,
Год журнала:
2024,
Номер
13(8), С. 410 - 410
Опубликована: Авг. 7, 2024
In
this
paper,
the
effects
of
rapid
advancement
generative
artificial
intelligence
(Gen
AI)
in
higher
education
(HE)
are
discussed.
A
mixed
exploratory
research
approach
was
employed
to
understand
these
impacts,
combining
analysis
current
trends
and
students’
perceptions
Gen
AI
tools
academia.
Through
bibliometric
systematic
literature
review,
64
publications
(indexed
SCOPUS
Web
Science
databases)
were
examined,
highlighting
AI’s
disruptive
effect
on
pedagogical
aspects
HE.
The
impacts
identified
by
compared
with
held
computer
science
students
two
different
HE
institutions
(HEIs)
topic.
An
study
developed
based
application
a
questionnaire
group
112
students.
results
suggest
that
while
can
enhance
academic
work
learning
feedback,
it
requires
appropriate
support
foster
critical,
ethical,
digital
literacy
competencies.
Students
demonstrate
awareness
both
risks
benefits
associated
settings.
concludes
failing
recognize
effectively
use
impedes
educational
progress
adequate
preparation
citizens
workers
think
act
an
AI-mediated
world.
Education Sciences,
Год журнала:
2024,
Номер
14(8), С. 922 - 922
Опубликована: Авг. 22, 2024
With
the
recent
arrival
of
publicly
available
AI
chatbots
like
ChatGPT,
Copilot,
Gemini,
and
Claude
follows
a
need
for
knowledge
about
how
students
in
higher
education
perceive
use
these
tools,
what
this
might
mean
their
learning
processes.
This
scoping
review
analyzes
24
empirical
articles
published
between
1
January
2022
5
September
2023
on
students’
perceptions
education.
The
were
reviewed
using
five-stage
methodology.
findings
underscore
global
research
interest
engage
with
chatbots,
which
is
especially
pronounced
Asia.
studies
span
diverse
disciplines,
predominance
science,
technology,
engineering,
mathematics
disciplines.
reveal
that
as
highly
useful
motivating
personal
task
assistants
getting
immediate
feedback
help
writing,
coding,
academic
tasks.
However,
are
concerned
accuracy
reliability
responses
from
well
potential
negative
impacts
processes,
critical
thinking,
discipline,
creativity.
purpose-driven
among
potentially
positive
influence
motivation
processes
offer
insights
educators
policymakers.
Our
concludes
while
attitudes,
perceptions,
prevail,
addressing
concerns
crucial
responsible
integration
Information Technology and People,
Год журнала:
2024,
Номер
unknown
Опубликована: Май 17, 2024
Purpose
Limited
knowledge
exists
regarding
the
adverse
effects
of
artificial
intelligence
adoption,
including
platforms
like
ChatGPT,
on
users’
mental
well-being.
The
current
research
seeks
to
adopt
insight
from
stressor-strain-outcome
paradigm
and
a
moderated
mediation
model
examine
how
technology
anxiety
moderates
direct
indirect
relationships
between
compulsive
use
technostress,
life
satisfaction.
Design/methodology/approach
Drawing
data
sample
2,602
ChatGPT
users
in
Vietnam,
PROCESS
macro
was
approached
test
model.
Findings
findings
indicate
that
exhibited
substantial
positive
impact
while
technostress
found
have
negative
influence
Moreover,
although
did
not
show
significant
effect,
it
indirectly
impacts
satisfaction
via
technostress.
Remarkably,
significantly
moderate
both
associations
Practical
implications
Based
this
research,
some
practical
are
provided.
Originality/value
offers
fresh
perspective
by
applying
provide
empirical
evidence
relationship
thus
sheds
new
light
adoption
its
health.
European Journal of Investigation in Health Psychology and Education,
Год журнала:
2024,
Номер
14(7), С. 1981 - 1995
Опубликована: Июль 8, 2024
The
intensive
adoption
of
ChatGPT
by
university
students
for
learning
has
encouraged
many
scholars
to
test
the
variables
that
impact
on
their
use
such
AI
in
learning.
This
study
adds
growing
body
studies,
especially
relation
moderating
role
students'
gender
and
discipline
acceptance
usage
process.
expanded
Unified
Theory
Acceptance
Use
Technology
(UTAUT)
integrating
as
well
disciplines
moderators.
collected
responses
from
Saudi
universities
with
different
genders.
results
a
structural
model
using
Smart
PLS
showed
significant
effect
relationship
between
performance
expectancy
usage.
confirmed
fostering
was
stronger
male
than
female
students.
Moreover,
social
influence
shown
significantly
affect
males
more
females
In
addition,
findings
moderates
link
same
vein,
influences
sciences
applied
sciences.
Hence,
various
implications
were
discussed.
Frontiers in Education,
Год журнала:
2024,
Номер
9
Опубликована: Май 3, 2024
Artificial
intelligence
(AI)
chatbots,
represented
by
ChatGPT,
have
shown
significant
improvement
in
natural
learning
and
problem
analysis
solving,
which
could
trigger
a
profound
change
the
education
sector
far-reaching
impact
on
educational
practices.
This
study
aimed
to
gain
insights
into
various
impacts
users’
experience
when
using
AI
tool
ChatGPT
higher
education.
The
analyzed
questionnaire
data
from
328
college
students
who
used
ChatGPT.
Employing
structural
equation
modeling,
this
examined
technology
acceptance
model
setting
identify
factors
influencing
continued
use
of
results
show
that
ChatGPT’s
compatibility
positively
affected
perceived
ease
efficiency
usefulness.
Furthermore,
usefulness
were
identified
as
core
affecting
satisfaction
intentions,
with
user
showing
positive
effect
intention.
findings
not
only
provide
new
perspectives
human–computer
interaction
theory
but
also
further
refine
functions
current
smart
devices.
will
help
promote
progress
technology,
while
deepening
understanding
relationship
between
attitude
behavior.
European Journal of Education,
Год журнала:
2024,
Номер
59(2)
Опубликована: Фев. 25, 2024
Abstract
Mobile
learning
(M‐learning),
ChatGPT
and
social
media
are
integral
to
university
education,
improving
accessibility,
personalization
interactive
engagement
in
the
process.
This
paper
aimed
investigate
role
of
M‐learning,
students'
academic
performance.
It
was
a
cross‐sectional
quantitative
investigation,
data
were
collected
from
600
students
through
self‐developed
questionnaire
having
four
subscales
(M‐learning,
ChatGPT,
performance).
Simple
linear
regression
process
macro
deployed
test
study
hypotheses.
The
analysis
revealed
that
M‐learning
is
significant
contributor
performance
at
level
(
β
=
.460,
t
(598)
12.663,
p
<
.001).
Social
found
be
significantly
mediating
relationship
between
with
coefficient
B
.267,
SE
.038,
(597)
7.08,
.001,
95%
CI
[0.193,
0.341].
contributing
.288,
(596)
2.50,
.013),
but
interaction
term
had
an
insignificant
effect
on
.292,
−0.43,
.668).
suggests
can
improve
influence
non‐moderating
indicate
need
for
strategic
integration
these
tools
enhance
outcomes.
recommended
should
judiciously
use
M‐learning.
In
contrast,
universities
foster
this
achieve
educational
aims
explore
how
AI
like
optimally
learning.
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.
