Frontiers in Education,
Journal Year:
2024,
Volume and Issue:
9
Published: Aug. 7, 2024
Background
The
use
of
ChatGPT
among
university
students
has
gained
a
recent
popularity.
current
study
aimed
to
assess
the
factors
driving
attitude
and
usage
as
an
example
generative
artificial
intelligence
(genAI)
in
United
Arab
Emirates
(UAE).
Methods
This
cross-sectional
was
based
on
previously
validated
Technology
Acceptance
Model
(TAM)-based
survey
instrument
termed
TAME-ChatGPT.
self-administered
e-survey
distributed
by
emails
for
enrolled
UAE
universities
during
September–December
2023
using
convenience-based
approach.
Assessment
demographic
academic
variables,
TAME-ChatGPT
constructs’
roles
conducted
univariate
followed
multivariate
analyses.
Results
final
sample
comprised
608
participants,
91.0%
whom
heard
while
85.4%
used
before
study.
Univariate
analysis
indicated
that
positive
associated
with
three
constructs
namely,
lower
perceived
risks,
anxiety,
higher
scores
technology/social
influence.
For
usage,
being
male,
nationality,
point
grade
average
(GPA)
well
four
usefulness,
risks
use,
behavior/cognitive
construct
ease-of-use
construct.
In
analysis,
only
explained
variance
towards
(80.8%)
its
(76.9%).
Conclusion
findings
is
commonplace
UAE.
determinants
included
cognitive
behavioral
factors,
ease
determined
These
should
be
considered
understanding
motivators
successful
adoption
genAI
including
education.
Iberoamerican Journal of Science Measurement and Communication,
Journal Year:
2024,
Volume and Issue:
4(1), P. 1 - 16
Published: April 5, 2024
Objective.
The
rapid
integration
of
Generative
Artificial
Intelligence
(AI),
especially
tools
like
ChatGPT,
into
educational
sectors
has
spurred
significant
academic
interest.
This
review
article
provides
a
systematic
examination
the
current
scholarly
landscape
concerning
use
ChatGPT
within
higher
education.
Design/Methodology/Approach.
Drawing
from
range
databases
between
2022
and
2024,
we
meticulously
adhere
to
PRISMA
guidelines,
evaluating
final
set
28
out
1740
initial
articles
based
on
predetermined
inclusion
exclusion
criteria.
Results/Discussion.
Our
analysis
reveals
diverse
global
contributions
predominantly
Asia
identifies
prevalent
quantitative
research
approach
among
studies.
We
delve
selected
articles'
geographical
distribution,
methodologies,
thematic
outcomes,
highlighting
notable
lack
Latin
America.
critically
assesses
validity,
utility,
time
optimization
aspects
in
settings,
uncovering
positive
impact
student
learning
management.
However,
pinpoint
gap
rigorous
experimental
research,
underscoring
need
for
studies
with
random
sampling
controlled
settings
enhance
external
validity
findings.
Additionally,
call
attention
ethical
considerations
necessity
education
institutions
adapt
teaching
methodologies
incorporate
AI
effectively.
Conclusion.
concludes
recommendations
future
address
identified
gaps
optimize
generative
technologies
ChatGPT.
Frontiers in Education,
Journal Year:
2024,
Volume and Issue:
9
Published: Aug. 7, 2024
Background
The
use
of
ChatGPT
among
university
students
has
gained
a
recent
popularity.
current
study
aimed
to
assess
the
factors
driving
attitude
and
usage
as
an
example
generative
artificial
intelligence
(genAI)
in
United
Arab
Emirates
(UAE).
Methods
This
cross-sectional
was
based
on
previously
validated
Technology
Acceptance
Model
(TAM)-based
survey
instrument
termed
TAME-ChatGPT.
self-administered
e-survey
distributed
by
emails
for
enrolled
UAE
universities
during
September–December
2023
using
convenience-based
approach.
Assessment
demographic
academic
variables,
TAME-ChatGPT
constructs’
roles
conducted
univariate
followed
multivariate
analyses.
Results
final
sample
comprised
608
participants,
91.0%
whom
heard
while
85.4%
used
before
study.
Univariate
analysis
indicated
that
positive
associated
with
three
constructs
namely,
lower
perceived
risks,
anxiety,
higher
scores
technology/social
influence.
For
usage,
being
male,
nationality,
point
grade
average
(GPA)
well
four
usefulness,
risks
use,
behavior/cognitive
construct
ease-of-use
construct.
In
analysis,
only
explained
variance
towards
(80.8%)
its
(76.9%).
Conclusion
findings
is
commonplace
UAE.
determinants
included
cognitive
behavioral
factors,
ease
determined
These
should
be
considered
understanding
motivators
successful
adoption
genAI
including
education.
