Organizacija,
Journal Year:
2024,
Volume and Issue:
57(4), P. 333 - 345
Published: Dec. 1, 2024
Abstract
Background/Purpose
Artificial
intelligence
(AI)
impacts
our
everyday
lives,
from
business
to
social
areas,
and,
in
recent
years,
more
and
education.
This
paper
aims
discuss
using
artificial
tools
for
educational
purposes
the
student’s
perspective.
Methods
A
quantitative
approach
was
used
research
questioning
method.
Data
were
collected
an
e-survey.
The
questionnaire
contained
closed
questions
referring
(i)
general
data,
(ii)
use
of
specific
tools,
open
(iii)
about
study
purposes.
Parametric
Independent
–
Samples
t-Test
One-Way
ANOVA
tests
normal
near-normal
distributions
responses.
Results
conducted
with
258
university
students
Slovenia
reveals
a
familiarity
AI
concepts
yet
limited
ability
articulate
this
understanding.
Popular
like
ChatGPT
Grammarly
are
predominantly
information
retrieval
idea
generation.
Notable
differences
tool
usage
observed
based
on
gender
field
study.
Conclusion
rapid
advancement
is
significantly
transforming
higher
Integrating
into
education
fosters
development
adaptive,
personalized,
inclusive
learning
environments.
Due
study’s
sample
size
geographic
focus,
further
diverse
samples
needed
understand
global
fully.
Heliyon,
Journal Year:
2024,
Volume and Issue:
10(11), P. e31887 - e31887
Published: May 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.
Information,
Journal Year:
2024,
Volume and Issue:
15(6), P. 314 - 314
Published: May 28, 2024
Recent
research
emphasizes
the
importance
of
Artificial
Intelligence
applications
as
supporting
tools
for
students
in
higher
education.
Simultaneously,
an
intensive
exchange
views
has
started
public
debate
international
educational
community.
However,
a
more
proper
use
these
applications,
it
is
necessary
to
investigate
factors
that
explain
their
intention
and
actual
future.
With
Unified
Theory
Acceptance
Use
Technology
(UTAUT2)
model,
this
work
analyses
influencing
students’
technology.
For
purpose,
sample
197
Greek
at
School
Humanities
Social
Sciences
from
University
Patras
participated
survey.
The
findings
highlight
expected
performance,
habit,
enjoyment
are
key
determinants
teachers’
intentions
them.
Moreover,
behavioural
intention,
facilitating
conditions
usage
applications.
This
study
did
not
reveal
any
moderating
effects.
limitations,
practical
implications,
proposed
directions
future
based
on
results
discussed.
Heliyon,
Journal Year:
2024,
Volume and Issue:
10(11), P. e32220 - e32220
Published: May 31, 2024
This
study
investigates
the
determinants
of
ChatGPT
adoption
among
university
students
and
its
impact
on
learning
satisfaction.
Utilizing
Technology
Acceptance
Model
(TAM)
incorporating
insights
from
interaction
learning,
collaborative
information
quality,
a
structural
equation
modeling
approach
was
employed.
research
collected
valuable
responses
262
at
King
Faisal
University
in
Saudi
Arabia
through
use
self-report
questionnaires.
The
data's
reliability
validity
were
assessed
using
confirmation
factor
analysis,
followed
by
path
analysis
to
explore
hypotheses
proposed
model.
results
indicate
pivotal
roles
fostering
adoption.
Social
played
significant
role,
as
researchers
engaging
conversations
knowledge-sharing
expressed
increased
comfort
with
ChatGPT.
Information
quality
found
substantially
influence
researchers'
decisions
continue
ChatGPT,
emphasizing
need
for
ongoing
improvement
accuracy
relevance
content
provided.
Perceived
ease
perceived
usefulness
intermediary
linking
engagement
User-friendly
interfaces
utility
identified
crucial
factors
affecting
overall
satisfaction
levels.
Notably,
positively
impacted
motivation,
indicating
potential
enhance
student
interest
learning.
study's
findings
have
implications
educational
practitioners
seeking
improve
implementation
AI
technologies
students,
user-friendly
design,
influencing
concludes
into
complex
interplay
between
AI-powered
tools,
objectives,
highlighting
continued
comprehensively
understand
these
dynamics.
Sustainability,
Journal Year:
2024,
Volume and Issue:
16(17), P. 7351 - 7351
Published: Aug. 26, 2024
Digital
technologies
have
revolutionized
the
business
field,
offering
significant
opportunities
for
small
and
medium-sized
enterprises
(SMEs)
to
enhance
sustainability
value
creation.
This
study
investigates
impact
of
digital
technology
adoption
on
economic
social
creation,
as
well
SME
performance.
Specifically,
it
examines
how
media
applications,
big
data
analytics,
IoT
blockchain
AI-enabled
applications
influence
within
SMEs.
We
employed
a
hybrid
approach
integrating
Structural
Equation
Modeling
(SEM)
Artificial
Neural
Network
(ANN)
techniques
using
SmartPLs
4.0
Application;
this
research
analyzes
these
relationships.
For
our
analysis,
were
collected
from
305
managers
operating
in
Upper
Sindh,
Pakistan,
specifically
major
cities
like
Sukkur,
Larkana,
Shikarpur,
Jacobabad,
Khairpur.
The
findings
reveal
that
significantly
contribute
both
creation
Conversely,
show
no
Importantly,
positively
correlates
with
enhanced
enriches
understanding
SMEs
particularly
enhancing
Through
advanced
methodologies
rigorous
bridges
theory
practical
SMEs’
transformation.
Scientific Reports,
Journal Year:
2025,
Volume and Issue:
15(1)
Published: Feb. 13, 2025
This
study
investigates
the
impact
of
Artificial
Intelligence
(AI)
adoption
on
sustainable
performance
small
and
medium-sized
enterprises
(SMEs).
Employing
a
hybrid
quantitative
approach,
this
research
combines
Partial
Least
Squares
Structural
Equation
Modeling
(PLS-SEM)
Neural
Networks
(ANN)
to
examine
influence
various
organizational,
technological,
external
factors
AI
adoption.
Key
considered
include
top
management
support,
employee
capability,
customer
pressure,
complexity,
vendor
relative
advantage.
Data
collected
from
305
SMEs
across
multiple
sectors
were
analyzed.
The
results
reveal
that
all
proposed
significantly
positively
affect
adoption,
with
advantage
being
most
influential
predictors.
Additionally,
technologies
substantially
enhances
economic,
social,
environmental
SMEs,
reflecting
improvements
in
operational
efficiency,
cost
reduction,
social
value
creation.
ANN
confirm
robustness
SEM
findings,
highlighting
critical
role
driving
sustainability
outcomes.
Furthermore,
emphasizes
positive
mediation
effects
organizational
performance,
indicating
serves
as
key
enabler
achieving
both
short-term
gains
long-term
objectives.
contributes
understanding
AI's
transformative
enhancing
developing
economies,
offering
strategic
insights
for
policymakers
business
leaders.
