Cogent Business & Management,
Journal Year:
2024,
Volume and Issue:
11(1)
Published: Oct. 18, 2024
This
study
conducts
a
comparative
analysis
of
two
prominent
generative
artificial
intelligence
(GAI)
tools,
ChatGPT
and
Bard,
specifically
in
the
context
supply
chain
management.
Using
dataset
150
certified
professional
questions,
models
are
evaluated
on
basis
accuracy,
relevance,
clarity,
t
tests
employed
to
assess
differences
between
tools.
outperforms
Bard
both
accuracy
with
statistically
significant
results,
whereas
demonstrated
slight
edge
readability,
scoring
higher
Flesch
readability
ease
scale.
Both
exhibited
moderate
high
cosine
similarity
for
majority
indicating
closely
aligned
outputs.
However,
variations
their
performance
arose
from
underlying
architectures
–
ChatGPT's
iterative
improvement
process
balances
utility
safety,
is
designed
stricter
safeguards
minimize
misuse.
These
findings
have
important
implications
integration
GAI
tools
educational
settings,
such
as
developing
curricula
training
materials
requiring
relevance.
Additionally,
results
suggest
broader
applications
decision-making,
operational
efficiency
improvements,
enhanced
stakeholder
communication.
The
also
highlights
importance
continuous
model
adaptation
ensure
ethical,
safe,
effective
use
AI
technologies
settings.
Future
research
could
explore
how
real-time
feedback
loops
impact
diverse
datasets
influence
relevance
across
different
industries,
further
advancing
role
complex
domains
International Medical Education,
Journal Year:
2024,
Volume and Issue:
3(4), P. 406 - 425
Published: Oct. 9, 2024
Despite
the
potential
benefits
of
generative
artificial
intelligence
(genAI),
concerns
about
its
psychological
impact
on
medical
students,
especially
job
displacement,
are
apparent.
This
pilot
study,
conducted
in
Jordan
during
July–August
2024,
aimed
to
examine
specific
fears,
anxieties,
mistrust,
and
ethical
students
harbor
towards
genAI.
Using
a
cross-sectional
survey
design,
data
were
collected
from
164
studying
across
various
academic
years,
employing
structured
self-administered
questionnaire
with
an
internally
consistent
FAME
scale—representing
Fear,
Anxiety,
Mistrust,
Ethics—comprising
12
items,
3
items
for
each
construct.
Exploratory
confirmatory
factors
analyses
assess
construct
validity
scale.
The
results
indicated
variable
levels
anxiety
genAI
among
participating
students:
34.1%
reported
no
genAI‘s
role
their
future
careers
(n
=
56),
while
41.5%
slightly
anxious
61),
22.0%
somewhat
36),
2.4%
extremely
4).
Among
constructs,
Mistrust
was
most
agreed
upon
(mean:
12.35
±
2.78),
followed
by
Ethics
10.86
2.90),
Fear
9.49
3.53),
Anxiety
8.91
3.68).
Their
sex,
level,
Grade
Point
Average
(GPA)
did
not
significantly
affect
students’
perceptions
However,
there
notable
direct
association
between
general
elevated
scores
constructs
Prior
exposure
previous
use
modify
These
findings
highlight
critical
need
refined
educational
strategies
address
integration
into
training.
demonstrate
anxiety,
fear,
regarding
deployment
healthcare,
indicating
necessity
curriculum
modifications
that
focus
specifically
these
areas.
Interventions
should
be
tailored
increase
familiarity
competency
genAI,
which
would
alleviate
apprehensions
equip
physicians
engage
this
inevitable
technology
effectively.
study
also
highlights
importance
incorporating
discussions
courses
mistrust
human-centered
aspects
In
conclusion,
calls
proactive
evolution
education
prepare
new
AI-driven
healthcare
practices
ensure
well
prepared,
confident,
ethically
informed
professional
interactions
technologies.
Journal of Asian Public Policy,
Journal Year:
2024,
Volume and Issue:
unknown, P. 1 - 28
Published: Nov. 4, 2024
Artificial
Intelligence
holds
vast
potential
in
academia,
yet
concerns
arise
regarding
its
usage.
This
study
examines
students'
perceptions
and
intentions
to
use
ChatGPT
through
the
signalling
elaboration
likelihood
model,
which
offers
valuable
insights
into
transmission
procession
of
information.
Two
adoption
approaches
are
considered:
peripheral
route
involves
utilization
simple
cues
requiring
less
cognitive
effort,
such
as
credibility,
content
quality,
critical
mass,
while
central
requires
a
person
critically
evaluate
information
rooted
perceived
usefulness
technical
advantages.
Critical
reasoning
digital
efficacy
examined
moderating
variables.
Using
convenience
sampling,
data
from
694
respondents
collected
via
WeChat
www.wjx.cn
China.
Structural
Equation
Modeling
reveals
significant
positive
impact
usefulness,
advantages,
mass
on
student
for
academic
performance.
The
findings
inform
policymakers
educators
AI
tool
integration
higher
education,
stressing
importance
understanding
intentions.
ChatGPT's
benefits
challenges
underscore
influence
performance
educational
practices.
advocates
ethical
guidelines
support
systems
address
concerns,
emphasizing
proficiency
pivotal
factors.
Smart Learning Environments,
Journal Year:
2024,
Volume and Issue:
11(1)
Published: Nov. 11, 2024
Abstract
The
rapid
development
of
generative
artificial
intelligence
(GenAI)
technologies
has
sparked
widespread
discussions
about
their
potential
applications
in
higher
education.
However,
little
is
known
how
students
from
various
disciplines
engage
with
GenAI
tools.
This
study
explores
undergraduate
students'
knowledge,
usage
intentions,
and
task-specific
engagement
across
academic
disciplines.
Using
a
disciplinary
categorization
framework,
we
examine
the
hard/soft
pure/applied
dimensions
relate
to
interactions
GenAI.
We
surveyed
193
undergraduates
diverse
at
university
Singapore.
questionnaire
assessed
for
cognitive
routine
tasks
against
background.
results
indicate
substantial
disparities
level
Compared
pure
fields,
applied
fields
(both
hard
soft)
consistently
exhibit
levels
knowledge
utilization
intentions.
Furthermore,
relatively
consistent
disciplines;
however,
there
are
tasks,
exhibiting
engagement.
These
suggest
that
practical
orientation
drives
adoption
settings.
emphasizes
considering
differences
better
integrate
into
education
calls
tailored
approaches
align
each
field's
unique
epistemological
methodological
traditions
balance
GenAI's
benefits
preservation
core
skills.
Journal of Asian Public Policy,
Journal Year:
2024,
Volume and Issue:
unknown, P. 1 - 25
Published: Dec. 28, 2024
Generative
artificial
intelligence
has
emerged
as
a
powerful
technological
innovation
that
is
exerting
sweeping
influence
in
the
education
sector.
The
rapid
diffusion
of
ChatGPT
universities
worldwide
presents
both
opportunities
and
challenges
to
higher
policy
administration.
This
study
seeks
examine
students'
behavioural
perceptual
experiences
with
use
at
Hong
Kong
University
Science
Technology,
which
was
among
first
introduce
officially
protected
services.
Launched
November
2023,
university-wide
student
survey
sampled
680
students
from
campus
Guangzhou
Mainland
China.
results
indicate
significant
usage
services
very
high
level
intention
continue
use.
perceive
contribute
positively
their
learning
career
development.
Significant
variations
were
found
according
gender,
study,
age
group,
discipline,
country/region
origin,
terms
ChatGPT.
These
offer
useful
evidence
for
curriculum
reform
improvement
AI
literacy
institutions.
Cogent Business & Management,
Journal Year:
2024,
Volume and Issue:
11(1)
Published: Oct. 18, 2024
This
study
conducts
a
comparative
analysis
of
two
prominent
generative
artificial
intelligence
(GAI)
tools,
ChatGPT
and
Bard,
specifically
in
the
context
supply
chain
management.
Using
dataset
150
certified
professional
questions,
models
are
evaluated
on
basis
accuracy,
relevance,
clarity,
t
tests
employed
to
assess
differences
between
tools.
outperforms
Bard
both
accuracy
with
statistically
significant
results,
whereas
demonstrated
slight
edge
readability,
scoring
higher
Flesch
readability
ease
scale.
Both
exhibited
moderate
high
cosine
similarity
for
majority
indicating
closely
aligned
outputs.
However,
variations
their
performance
arose
from
underlying
architectures
–
ChatGPT's
iterative
improvement
process
balances
utility
safety,
is
designed
stricter
safeguards
minimize
misuse.
These
findings
have
important
implications
integration
GAI
tools
educational
settings,
such
as
developing
curricula
training
materials
requiring
relevance.
Additionally,
results
suggest
broader
applications
decision-making,
operational
efficiency
improvements,
enhanced
stakeholder
communication.
The
also
highlights
importance
continuous
model
adaptation
ensure
ethical,
safe,
effective
use
AI
technologies
settings.
Future
research
could
explore
how
real-time
feedback
loops
impact
diverse
datasets
influence
relevance
across
different
industries,
further
advancing
role
complex
domains
