Behavioral Sciences,
Год журнала:
2025,
Номер
15(3), С. 328 - 328
Опубликована: Март 7, 2025
Although
the
adoption
and
benefits
of
GenAI
(Generative
Artificial
Intelligence)
tools
among
higher
education
students
have
been
widely
explored
in
existing
studies,
less
is
known
about
how
individual
capabilities
influence
use
these
tools.
Drawing
on
Information
System
Success
Model
(ISSM)
Expectation–Confirmation
(ECM),
this
study
examines
students’
capabilities,
including
critical
thinking,
self-directed
learning
ability,
AI
literacy,
impact
quality
information
obtained
from
Additionally,
it
explores
relationships
quality,
student
satisfaction,
intention
to
continue
using
education.
Survey
data
1448
users
Chinese
universities
reveal
that
with
stronger
tend
extract
higher-quality
information,
which
turn
fosters
their
satisfaction
The
findings
highlight
crucial
role
maximizing
potential
tools,
emphasizes
need
cultivate
literacy
achieve
sustainable
success
era.
Theoretically,
extends
ISSM
ECM
by
exploring
mediating
user
between
Practically,
provides
implications
for
educators
policymakers
enhance
thus
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
International Journal of Educational Research,
Год журнала:
2024,
Номер
127, С. 102411 - 102411
Опубликована: Янв. 1, 2024
ChatGPT
has
gained
significant
attention
in
the
higher
education
sector
as
it
can
be
applied
across
a
wide
range
of
topics.
Despite
ChatGPT's
versatility
offering
support
various
educational
disciplines,
is
still
its
early
stages
and
requires
further
exploration
to
fully
utilized
effectively
education.
This
systematic
literature
review
aims
explore
trends,
adoption
measures,
diverse
applications,
current
limitations
research
systematically
analyzed
57
articles
published
between
2023
2024.
study
identified
trends
by
providing
temporal
views,
geographical
locations,
methods
used.
Furthermore,
this
explored
users'
intention
adopt
use
focusing
on
post-adoption,
use,
acceptance
stages.
Considering
extensive
advantages
brings
academic
community,
explores
applications
settings
for
staff,
students,
researchers,
non-academic
users.
Finally,
outlined
within
proposed
future
directions,
aiming
continuous
improvement
field.
benefit
valuable
insights
into
effective
utilization
ChatGPT.
Connection Science,
Год журнала:
2024,
Номер
36(1)
Опубликована: Май 16, 2024
In
2022,
OpenAI's
unveiling
of
generative
AI
Large
Language
Models
(LLMs)-
ChatGPT,
heralded
a
significant
leap
forward
in
human-machine
interaction
through
cutting-edge
technologies.
With
its
surging
popularity,
scholars
across
various
fields
have
begun
to
delve
into
the
myriad
applications
ChatGPT.
While
existing
literature
reviews
on
LLMs
like
ChatGPT
are
available,
there
is
notable
absence
systematic
(SLRs)
and
bibliometric
analyses
assessing
research's
multidisciplinary
geographical
breadth.
This
study
aims
bridge
this
gap
by
synthesising
evaluating
how
has
been
integrated
diverse
research
areas,
focussing
scope
distribution
studies.
Through
review
scholarly
articles,
we
chart
global
utilisation
scientific
domains,
exploring
contribution
advancing
paradigms
adoption
trends
among
different
disciplines.
Our
findings
reveal
widespread
endorsement
multiple
fields,
with
implementations
healthcare
(38.6%),
computer
science/IT
(18.6%),
education/research
(17.3%).
Moreover,
our
demographic
analysis
underscores
ChatGPT's
reach
accessibility,
indicating
participation
from
80
unique
countries
ChatGPT-related
research,
most
frequent
keyword
occurrence,
USA
(719),
China
(181),
India
(157)
leading
contributions.
Additionally,
highlights
roles
institutions
such
as
King
Saud
University,
All
Institute
Medical
Sciences,
Taipei
University
pioneering
dataset.
not
only
sheds
light
vast
opportunities
challenges
posed
pursuits
but
also
acts
pivotal
resource
for
future
inquiries.
It
emphasises
that
(LLM)
role
revolutionising
every
field.
The
insights
provided
paper
particularly
valuable
academics,
researchers,
practitioners
disciplines,
well
policymakers
looking
grasp
extensive
impact
technologies
community.
Higher Education,
Год журнала:
2024,
Номер
unknown
Опубликована: Авг. 24, 2024
Abstract
Artificial
intelligence
(AI)
chatbots
trained
on
large
language
models
are
an
example
of
generative
AI
which
brings
promises
and
threats
to
the
higher
education
sector.
In
this
study,
we
examine
emerging
research
area
in
(HE),
focusing
specifically
empirical
studies
conducted
since
release
ChatGPT.
Our
review
includes
23
articles
published
between
December
2022
2023
exploring
use
HE
settings.
We
take
a
three-pronged
approach
data.
first
state
field
HE.
Second,
identify
theories
learning
used
Third,
scrutinise
discourses
framing
latest
work
chatbots.
findings
contribute
better
understanding
eclectic
nascent
HE,
lack
common
conceptual
groundings
about
human
learning,
presence
both
dystopian
utopian
future
role
Computers and Education Artificial Intelligence,
Год журнала:
2024,
Номер
6, С. 100251 - 100251
Опубликована: Июнь 1, 2024
In
AI
literacy
education,
there
are
few
examples
of
education
based
on
ethical
principles,
and
limited
knowledge
exists
regarding
curriculum
design
that
incorporates
principles
its
effects.
Therefore,
in
this
study,
we
propose
a
teaches
the
use
large
language
models
(LLM)
such
as
ChatGPT
verify
impact
educational
effectiveness
technology
acceptance
among
students
aged
12
to
24.
The
validation
results
show
proposed
particularly
contributes
understanding
LLM
concepts
their
decision
support.
We
also
demonstrate
experience
using
influences
level
usage.
Additionally,
18
may
actively
adopt
responses
support,
careful
consideration
is
needed
when
LLMs
12-
18-year-old
age
group.
Using
model,
were
examined
determine
acceptance,
it
was
found
usefulness,
justice
fairness,
privacy,
data
protection
directly
attitudes
toward
ChatGPT.
It
has
become
clear
feel
uneasy
about
personal
information
for
learning
ChatGPT,
even
if
they
have
consented
information.
This
result
suggests
developers
providers
need
handle
carefully
foster
positive
attitude.
Journal of University Teaching and Learning Practice,
Год журнала:
2024,
Номер
21(1)
Опубликована: Март 12, 2024
Large
Language
Models
(LLMs)
and
Generative
AI
tools
are
revolutionising
every
aspect
of
academia,
including
medical,
physical,
STEM
education.
They
have
also
proved
their
mettle
in
blended
learning
systems
distance
programs
by
improving
educational
sustainability,
accessibility,
engagement.
Through
this
scoping
review,
we
aim
to
provide
an
essential
overview
the
state
art
ChatGPT
from
standpoint
exploring
its
development,
analysing
current
trajectory,
emerging
dynamics
active
research
responsible
for
defining
regulations
protocols.
The
PRISMA
benchmarking
was
used
on
Scopus
dataset,
with
109
papers
2022
2023.
Interactive
results
bibliographic
maps
generated
using
Bibliometrix
library
R-Studio.
findings
aligned
questions
represent
exceptional
growth
scientific
production.
Furthermore,
relevant
avenues
publications,
leading
countries,
institutions
area
listed.
thematic
trends
analysis
anticipated
that
artificial
intelligence
generative
will
substantially
influence
nearly
dimension
coming
years.
review
identified
possible
advantages
disadvantages
adopting
higher
education
analysed
deployment,
considering
ethical
issues.
concludes
that,
apart
ChatGPT,
other
large
language
models
transforming
However,
concerns
implications
highlight
vital
issues
further
ensure
AI's
use.
Journal of Applied Research in Higher Education,
Год журнала:
2024,
Номер
unknown
Опубликована: Март 14, 2024
Purpose
This
study
intends
to
extend
the
unified
theory
of
acceptance
and
use
technology
(UTAUT)
model
by
integrating
perceived
enjoyment
as
an
intrinsic
motivation
so
investigate
factors
influencing
Chinese
undergraduate
English
a
Foreign
Language
(EFL)
students'
intention
ChatGPT
for
learning.
Design/methodology/approach
A
cross-sectional
quantitative
survey
method
research
design
was
used
in
this
study.
Data
were
collected
from
432
students
at
two
universities.
The
data
analysis
carried
out
using
SmartPLS
4,
computer
software
that
employs
partial
least
squares
structural
equation
modelling
(PLS-SEM)
technique.
performed
stages,
including
assessment
reflective
measurement
model.
PLS
predict
utilized
assess
model’s
predicting
power.
Findings
showed
effort
expectancy,
performance
social
influence
positively
related
EFL
learners'
Perceived
mediated
relationships
between
learning
respectively.
Originality/value
Through
incorporating
into
UTAUT
explore
impact
learning,
has
extended
applicability
provide
insights
affecting
utilize
or
other
AI-based
technologies
British Educational Research Journal,
Год журнала:
2024,
Номер
unknown
Опубликована: Окт. 19, 2024
Abstract
The
adoption
of
generative
artificial
intelligence
(GAI)
tools,
such
as
ChatGPT,
in
higher
education
presents
numerous
opportunities
and
challenges.
use
GAI
technologies
various
fields,
including
education,
has
accelerated
technology
develops.
widely
used
language
model
developed
by
OpenAI,
become
progressively
more
important,
especially
the
field
education.
This
study
employs
acceptance
to
investigate
factors
influencing
employment
ChatGPT
within
sector
Pakistan.
employed
PLS‐SEM
method
for
probing
data
collected
from
368
Pakistani
university
students.
findings
indicate
that
trust
positively
mediates
affiliation
between
self‐efficacy,
actual
use,
information
interaction.
Further,
usefulness
ease
significantly
moderate
association
self‐efficacy
trust.
Educators
must
encourage
students
safely
preserve
their
critical
thinking,
problem‐solving
abilities
creativity
during
assessments.
contributes
understanding
AI
tools
are
educational
settings
provides
insights
administrators
policymakers
aiming
implement
these
effectively.
Research Square (Research Square),
Год журнала:
2024,
Номер
unknown
Опубликована: Фев. 1, 2024
Abstract
Background
The
use
of
ChatGPT
among
university
students
has
gained
popularity.
current
study
aimed
to
assess
the
factors
driving
attitude
and
usage
as
an
example
generative
artificial
intelligence
in
United
Arab
Emirates
(UAE).
Methods
This
cross-sectional
was
based
on
a
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,
TAME-ChatGPT
constructs
role
conducted
univariate
followed
multivariate
analyses.
Results
final
sample
comprised
608
participants,
91.0%
which
heard
while
85.4%
used
before
study.
Univariate
analysis
indicated
that
positive
associated
with
three
namely
lower
perceived
risks,
anxiety,
higher
scores
technology/social
influence.
For
usage,
being
male,
nationality,
point
grade
average
well
four
usefulness,
risks
use,
behavior/cognitive
construct
ease
construct.
In
analysis,
only
explained
variance
towards
(80.8%)
its
(76.9%).
Conclusions
findings
is
commonplace
UAE.
determinants
included
cognitive
behavioral
factors,
determined
These
should
be
considered
understanding
motivators
successful
adoption
AI
including
education.
