Sustainability,
Journal Year:
2024,
Volume and Issue:
16(22), P. 9779 - 9779
Published: Nov. 9, 2024
This
study
explored
the
transformative
potential
of
generative
artificial
intelligence
(GAI)
for
achieving
UN
Sustainable
Development
Goal
on
Quality
Education
(SDG4),
emphasizing
its
interconnectedness
with
other
SDGs.
A
proprietary
algorithm
and
cocitation
network
analysis
were
used
to
identify
analyze
SDG
features
in
GAI
research
publications
(n
=
1501).
By
examining
GAI’s
implications
ten
SDG4
targets,
findings
advocate
a
collaborative,
ethical
approach
integrating
GAI,
policy
practice
developments
that
ensure
technological
advancements
align
overarching
goals
SDG4.
The
results
highlight
multifaceted
impact
First,
this
paper
outlines
framework
leverages
enhance
educational
equity,
quality,
lifelong
learning
opportunities.
highlighting
synergy
between
SDGs,
such
as
reducing
inequalities
(SDG10)
promoting
gender
equality
(SDG5),
underscores
need
an
integrated
utilizing
GAI.
Moreover,
it
advocates
personalized
learning,
equitable
technology
access,
adherence
AI
principles,
fostering
global
citizenship,
proposing
strategic
alignment
applications
broader
agenda.
Next,
introduces
significant
challenges,
including
concerns,
data
privacy,
risk
exacerbating
digital
divide.
Overall,
our
underscore
critical
role
reforms
innovative
practices
navigating
challenges
harnessing
opportunities
presented
by
education,
thereby
contributing
comprehensive
discourse
technology’s
advancing
education
sustainable
development.
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.
Human Behavior and Emerging Technologies,
Journal Year:
2024,
Volume and Issue:
2024(1)
Published: Jan. 1, 2024
This
study
explores
the
adoption
and
societal
implications
of
an
emerging
technology
such
as
Chat
Generative
Pre‐Trained
Transformer
(ChatGPT)
in
higher
education
students.
By
utilizing
a
mixed‐method
framework,
this
research
combines
Rogers’
diffusion
innovation
theory
with
sentiment
analysis,
offering
innovative
methodological
approach
for
examining
educational
settings.
It
five
attributes—relative
advantage,
compatibility,
ease
use,
observability,
trialability—shaping
students’
behavioral
intentions
toward
ChatGPT.
Sentiment
analysis
offers
qualitative
depth,
revealing
emotional
perceptual
aspects,
introduces
gender‐based
perspective.
The
results
suggest
that
attributes
significantly
impact
rates
perceptions
ChatGPT,
indicating
its
potential
transformative
social
change
within
sector.
Gen
Zs
viewed
ChatGPT
innovative,
compatible,
user‐friendly,
enabling
independent
pursuit
goals.
Consequently,
benefits
provided
by
motivate
students
to
use
tool.
Gender
differences
were
observed
prioritization
attributes,
male
favoring
while
female
emphasized
relative
trialability.
findings
have
understanding
how
technological
innovations
could
be
strategically
diffused
across
different
segments,
especially
academic
context
where
ethical
considerations
integrity
are
paramount.
underscores
need
demographic‐sensitive,
user‐centric
design
generative
artificial
intelligence
(AI)
technologies.
Jordan Medical Journal,
Journal Year:
2024,
Volume and Issue:
58(1)
Published: Feb. 19, 2024
Background
and
Aims:
ChatGPT
represents
the
most
popular
widely
used
generative
artificial
intelligence
(AI)
model
that
received
significant
attention
in
healthcare
research.
The
aim
of
current
study
was
to
assess
future
trajectory
needed
research
this
domain
based
on
recommendations
top
influential
published
records.
Materials
Methods:
A
systematic
search
conducted
Scopus,
Web
Science,
Google
Scholar
(27–30
November
2023)
identify
ten
ChatGPT-related
records
across
three
databases.
Classification
as
“top”
denoting
high
influence
field
citation
counts.
Results:
total
22
unique
from
17
different
journals
representing
14
publishers
were
identified
publications
subject.
Based
records’
recommendations,
following
themes
appeared
important
areas
consider
healthcare:
improving
education,
improved
efficiency
clinical
processes
(e.g.,
documentation),
addressing
ethical
concerns
patient
privacy
consent),
supporting
tasks
data
analysis,
manuscript
preparation),
mitigating
output
biases,
education
engagement,
developing
standardized
assessment
protocols
for
utility
healthcare.
Conclusions:
review
highlighted
key
be
prioritized
healthcare.
Interdisciplinary
collaborations
standardizing
methodologies
are
synthesize
robust
evidence
these
studies.
promising
potential
healthcare,
JMJ
launched
a
call
papers
special
issue
entitled
“Evaluating
Generative
AI-Based
Models
Healthcare”.
Review of Education,
Journal Year:
2024,
Volume and Issue:
12(2)
Published: Aug. 1, 2024
Abstract
Given
the
potential
applications
of
generative
AI
(GenAI)
in
education
and
its
rising
interest
research,
this
systematic
review
mapped
thematic
landscape
407
publications
indexed
Web
Science,
ScienceDirect
Scopus.
Using
EPPI
Reviewer,
publication
type,
educational
level,
disciplines,
research
areas
GenAI
were
extracted.
Eight
discursive
themes
identified,
predominantly
focused
on
‘application,
impact
potential’,
‘ethical
implication
risks’,
‘perspectives
experiences’,
‘institutional
individual
adoption’,
‘performance
intelligence’.
was
conceptualised
as
a
tool
for
‘pedagogical
enhancement’,
‘specialised
training
practices’,
‘writing
assistance
productivity’,
‘professional
skills
development’,
an
‘interdisciplinary
learning
tool’.
Key
gaps
highlighted
include
paucity
discussions
K‐12
education;
limited
exploration
GenAI's
using
experimental
procedures;
ethical
concerns
from
lens
cultural
dimensions.
Promising
opportunities
future
are
highlighted.
PLoS ONE,
Journal Year:
2025,
Volume and Issue:
20(2), P. e0315011 - e0315011
Published: Feb. 5, 2025
The
paper
presents
the
most
comprehensive
and
large-scale
global
study
to
date
on
how
higher
education
students
perceived
use
of
ChatGPT
in
early
2024.
With
a
sample
23,218
from
109
countries
territories,
reveals
that
primarily
used
for
brainstorming,
summarizing
texts,
finding
research
articles,
with
few
using
it
professional
creative
writing.
They
found
useful
simplifying
complex
information
content,
but
less
reliable
providing
supporting
classroom
learning,
though
some
considered
its
clearer
than
peers
teachers.
Moreover,
agreed
need
AI
regulations
at
all
levels
due
concerns
about
promoting
cheating,
plagiarism,
social
isolation.
However,
they
believed
could
potentially
enhance
their
access
knowledge
improve
learning
experience,
efficiency,
chances
achieving
good
grades.
While
was
as
effective
improving
literacy,
digital
communication,
content
creation
skills,
interpersonal
decision-making,
numeracy,
native
language
proficiency,
development
critical
thinking
skills.
Students
also
felt
would
boost
demand
AI-related
skills
facilitate
remote
work
without
significantly
impacting
unemployment.
Emotionally,
mostly
positive
ChatGPT,
curiosity
calmness
being
common
emotions.
Further
examinations
reveal
variations
students'
perceptions
across
different
socio-demographic
geographic
factors,
key
factors
influencing
identified.
Higher
institutions'
managers
teachers
may
benefit
these
findings
while
formulating
curricula
instructions/regulations
use,
well
when
designing
teaching
methods
assessment
tools.
policymakers
consider
strategies
secondary
system
development,
especially
light
changing
labor
market
needs
related
development.
International Journal of Human-Computer Interaction,
Journal Year:
2024,
Volume and Issue:
unknown, P. 1 - 14
Published: April 4, 2024
ChatGPT,
a
cutting-edge
artificial
intelligence
(AI)
tool
with
the
potential
to
transform
education,
has
gained
global
recognition.
Learners'
attitudes
toward
new
technologies
significantly
influence
their
use
of
AI
tools,
such
as
ChatGPT.
However,
variable-centered
studies
struggle
fully
capture
heterogeneity
attitudes.
This
study
employed
person-centered
approach
(latent
profile
analysis)
and
thematic
analysis
uncover
students'
behavioral
intentions
regarding
Utilizing
meticulous
stratified
random
sampling
approach,
this
conducted
mixed-method
based
on
representative
data
from
850
Chinese
university
students,
revealing
three
profiles:
Positive
Embracers,
Cautious
Rational
Optimism,
Complex
Attitudinal
Profile.
Of
participants,
80.2%
showed
Optimism
profile,
where
Embracers
notably
higher
ChatGPT
intentions.
These
findings
emphasize
need
for
multidimensional
approaches
when
studying
is
first
explore
attitude
diversity,
offering
directions
strong
evidence
future
research
education.
Journal of Chemical Education,
Journal Year:
2024,
Volume and Issue:
101(6), P. 2483 - 2492
Published: May 30, 2024
Large
language
models
(LLMs)
such
as
ChatGPT
have
recently
been
challenging
traditional
of
higher
education.
Given
the
growing
use
these
tools
for
writing,
research,
and
content
retrieval
tasks,
it
is
imperative
that
both
students
faculty
understand
their
capabilities
shortcomings.
Here
we
describe
assignments
in
which
lower-
upper-division
evaluated
chemistry
writing
samples
generated
revised
by
version
3.5
used
this
program
revision
other
tasks.
General
Chemistry
who
AI-generated
showed
strong
gains
knowledge
about
report
structure
deficiencies
LLMs
chemistry.
Upper-division
found
generative
AI
to
be
helpful
revision.
Content
analysis
revealed
AI-revised
-generated
exhibited
fewer
grammatical
errors,
very
short
long
sentences,
improved
readability
text.
We
conclude
with
some
implications
future
research
suggestions
instructors
wish
adapt
assignments.
Narra J,
Journal Year:
2024,
Volume and Issue:
4(2), P. e917 - e917
Published: Aug. 5, 2024
Since
its
public
release
on
November
30,
2022,
ChatGPT
has
shown
promising
potential
in
diverse
healthcare
applications
despite
ethical
challenges,
privacy
issues,
and
possible
biases.
The
aim
of
this
study
was
to
identify
assess
the
most
influential
publications
field
utility
using
bibliometric
analysis.
employed
an
advanced
search
three
databases,
Scopus,
Web
Science,
Google
Scholar,
ChatGPT-related
records
education,
research,
practice
between
27
2023.
ranking
based
retrieved
citation
count
each
database.
additional
alternative
metrics
that
were
evaluated
included
(1)
Semantic
Scholar
highly
citations,
(2)
PlumX
captures,
(3)
mentions,
(4)
social
media
(5)
Altmetric
Attention
Scores
(AASs).
A
total
22
unique
published
17
different
scientific
journals
from
14
publishers
identified
databases.
Only
two
top
10
list
across
Variable
publication
types
identified,
with
common
being
editorial/commentary
(n=8/22,
36.4%).
Nine
had
corresponding
authors
affiliated
institutions
United
States
(40.9%).
range
varied
per
database,
highest
(1019-121),
followed
by
Scopus
(242-88),
Science
(171-23).
citations
correlated
significantly
following
metrics:
(Spearman's
correlation
coefficient
ρ=0.840,
