Abstract
This
work-in-progress
paper
explores
faculty
perspectives
regarding
student
use
of
Generative
Artificial
Intelligence
(GAI)
assistance
tools,
such
as
ChatGPT,
to
complete
engineering
coursework.
A
common
debate
in
and
computer
science
exists
about
how
should
address
GAI
tools
(i.e.,
prevent
their
usage
order
maintain
academic
integrity,
teach
students
the
new
technologies,
or
establish
regulatory
guidelines
higher
education).
While
continues
disrupt
traditional
educational
paradigms,
its
full
impacts
on
teaching
learning
are
currently
unknown.
Such
work
is
especially
useful
for
fields
science,
whose
lies
at
forefront
technological
advancement
more
readily
adopt
technologies
into
course
tasks.
discusses
preliminary
findings
an
intrinsic
qualitative
case
study
that
answers
research
question:
How
do
perceive
undergraduate
completion?
Data
were
collected
using
semi-structured
interviews
with
faculty,
including
civil,
mechanical,
electrical,
biological
science.
As
a
result,
this
lays
groundwork
extensive
domain
contributes
broader
discourse
role
emerging
shaping
future
education.
IEEE Access,
Год журнала:
2024,
Номер
12, С. 30263 - 30310
Опубликована: Янв. 1, 2024
ChatGPT
has
been
acknowledged
as
a
powerful
tool
that
can
radically
boost
productivity
across
wide
range
of
industries.
It
reveals
potential
in
cybersecurity-related
tasks
such
social
engineering.
Nevertheless,
this
possibility
raises
important
concerns
regarding
the
thin
line
separating
moral
use
technology
from
its
harmful
usage.
is
imperative
to
address
challenges
distinguishing
between
legitimate
and
malevolent
ChatGPT.
This
research
paper
investigates
many
cybersecurity,
privacy
enterprise
settings.
covers
attacker
uses
injecting
malicious
prompts,
testing
brute
force
attacks,
preparing
developing
ransomware
etc.
Defenders'
proactive
activities
are
also
addressed,
highlighting
ChatGPT's
significance
security
operations
threat
intelligence.
These
defensive
classified
based
on
National
Institute
Standards
Technology
cybersecurity
framework.
They
involve
analyzing
configuration
files,
inquiring
about
authoritative
server,
improving
various
systems,
Moreover,
secure
practices
mitigations
spread
through
five
classes
proposed,
with
an
emphasis
clear
usage
standards
guidelines
establishment,
personally
identifiable
information
protection,
adversarial
attack
prevention,
watermarking
generated
content,
An
integrated
discussion
digs
into
interaction
offensive
applications,
covering
ethical
practical
concerns.
Future
attacks
discussed,
along
solutions
content
filtering
collaboration.
Finally,
comparative
analysis
recent
directed.
The
provides
thorough
framework
comprehend
implications
associated
ChatGPT,
enabling
navigation
challenges.
Brain Sciences,
Год журнала:
2025,
Номер
15(1), С. 47 - 47
Опубликована: Янв. 6, 2025
Background/Objectives:
The
evolution
of
digital
technology
enhances
the
broadening
a
person's
intellectual
growth.
Research
points
out
that
implementing
innovative
applications
world
improves
human
social,
cognitive,
and
metacognitive
behavior.
Artificial
intelligence
chatbots
are
yet
another
human-made
construct.
These
forms
software
simulate
conversation,
understand
process
user
input,
provide
personalized
responses.
Executive
function
includes
set
higher
mental
processes
necessary
for
formulating,
planning,
achieving
goal.
present
study
aims
to
investigate
executive
reinforcement
through
artificial
chatbots,
outlining
potentials,
limitations,
future
research
suggestions.
Specifically,
examined
three
questions:
use
conversational
in
functioning
training,
their
impact
on
executive-cognitive
skills,
duration
any
improvements.
Methods:
assessment
existing
literature
was
implemented
using
systematic
review
method,
according
PRISMA
2020
Principles.
avalanche
search
method
employed
conduct
source
following
databases:
Scopus,
Web
Science,
PubMed,
complementary
Google
Scholar.
This
included
studies
from
2021
experimental,
observational,
or
mixed
methods.
It
AI-based
conversationalists
support
functions,
such
as
anxiety,
stress,
depression,
memory,
attention,
cognitive
load,
behavioral
changes.
In
addition,
this
general
populations
with
specific
neurological
conditions,
all
peer-reviewed,
written
English,
full-text
access.
However,
excluded
before
2021,
reviews,
non-AI-based
conversationalists,
not
targeting
range
skills
abilities,
without
open
criteria
aligned
objectives,
ensuring
focus
AI
agents
function.
initial
collection
totaled
n
=
115
articles;
however,
eligibility
requirements
led
final
selection
10
studies.
Results:
findings
suggested
positive
effects
enhance
improve
skills.
Although,
several
limitations
were
identified,
making
it
still
difficult
generalize
reproduce
effects.
Conclusions:
an
tool
can
assistant
learning
expanding
contributing
metacognitive,
social
development
individual.
its
training
is
at
primary
stage.
highlighted
need
unified
framework
reference
studies,
better
designs,
diverse
populations,
larger
sample
sizes
participants,
longitudinal
observe
long-term
use.
Antibiotics,
Год журнала:
2025,
Номер
14(1), С. 60 - 60
Опубликована: Янв. 9, 2025
Background/Objectives:
Antimicrobial
resistance
represents
a
growing
global
health
crisis,
demanding
innovative
approaches
to
improve
antibiotic
stewardship.
Artificial
intelligence
(AI)
chatbots
based
on
large
language
models
have
shown
potential
as
tools
support
clinicians,
especially
non-specialists,
in
optimizing
therapy.
This
review
aims
synthesize
current
evidence
the
capabilities,
limitations,
and
future
directions
for
AI
enhancing
selection
patient
outcomes.
Methods:
A
narrative
was
conducted
by
analyzing
studies
published
last
five
years
across
databases
such
PubMed,
SCOPUS,
Web
of
Science,
Google
Scholar.
The
focused
research
discussing
AI-based
chatbots,
stewardship,
clinical
decision
systems.
Studies
were
evaluated
methodological
soundness
significance,
findings
synthesized
narratively.
Results:
Current
highlights
ability
assist
guideline-based
recommendations,
medical
education,
enhance
decision-making.
Promising
results
include
satisfactory
accuracy
preliminary
diagnostic
prescriptive
tasks.
However,
challenges
inconsistent
handling
nuances,
susceptibility
unsafe
advice,
algorithmic
biases,
data
privacy
concerns,
limited
validation
underscore
importance
human
oversight
refinement.
Conclusions:
complement
stewardship
efforts
promoting
appropriate
use
improving
Realizing
this
will
require
rigorous
trials,
interdisciplinary
collaboration,
regulatory
clarity,
tailored
improvements
ensure
their
safe
effective
integration
into
practice.
International Journal of Educational Management,
Год журнала:
2025,
Номер
unknown
Опубликована: Янв. 29, 2025
Purpose
This
research
examines
the
complex
relationship
between
usage
of
Chat
Generative
Pre-Trained
Transformer
(ChatGPT)
amongst
student
and
their
creativity,
learning
assessment
using
empirical
data
collected
from
postgraduate
students.
In
addition,
study
explores
student’s
intrinsic
motivation
for
to
understand
categories.
seeks
provide
further
insights
into
this
artificial
intelligence
tool
in
enhancing
educational
ecosystem
all
stakeholders
concerned.
Design/methodology/approach
The
target
population
–
students
post-graduation
diverse
fields
science
management.
A
five-point
Likert
scale-structured
questionnaire
adapted
earlier
literature
relevant
questions
was
adopted
collection.
were
two
months,
resulted
403
usable
responses.
Ethical
considerations
assurance
confidentiality
participants
strictly
adhered
to.
Structured
equation
modelling
(SEM)
employed
explore
relationships
constructs
latent
relationships.
SmartPLS
4
used
these
Findings
Usage
has
a
negative
impact
on
but
increased
ChatGPT
encourages
adoption
due
its
perceived
usability.
Pedagogical
applications
aid
as
require
controlled
under
supervision.
Originality/value
is
innovative
context
students,
where
very
little
evidence
creativity
exists.
Through
research,
authors
illuminate
how
use
affects
academic
performance,
benefiting
educators
evaluation
assessment,
policymakers
findings
implications
that
help
create
effective
digital
education
strategies
stakeholders.
Education and Information Technologies,
Год журнала:
2024,
Номер
29(15), С. 20181 - 20200
Опубликована: Апрель 13, 2024
Abstract
ChatGPT
has
surprised
academia
with
its
remarkable
abilities
but
also
raised
substantial
concerns
regarding
academic
integrity
and
misconduct.
Despite
the
debate,
empirical
research
exploring
issue
is
limited.
The
purpose
of
this
study
to
bridge
gap
by
analyzing
Twitter
data
understand
how
perceiving
ChatGPT.
A
total
9733
tweets
were
collected
through
Python
via
API
in
three
consecutive
weeks
May
June
2023;
3000
most
relevant
ones
analyzed
Atlas
ti.
23.
Our
findings
reveal
a
generally
supportive
attitude
towards
using
academia,
absence
clear
policies
regulations
requires
attention.
Discussions
primarily
focus
on
integrity,
learning
effectiveness,
teaching
efficiency.
Tweets
from
influencers
over
one
million
followers
separately.
significance
these
limitations
are
included.
International Journal of Artificial Intelligence in Education,
Год журнала:
2024,
Номер
35(1), С. 367 - 397
Опубликована: Май 5, 2024
Abstract
In
this
paper,
we
initially
investigate
the
capabilities
of
GPT-3
5
and
GPT-4
in
solving
college-level
calculus
problems,
an
essential
segment
mathematics
that
remains
under-explored
so
far.
Although
improving
upon
earlier
versions,
attains
approximately
65%
accuracy
for
standard
problems
decreases
to
20%
competition-like
scenarios.
Overall,
models
prove
be
unreliable
due
common
arithmetic
errors.
Our
primary
contribution
lies
then
examining
use
ChatGPT
grading
solutions
exercises.
objectives
are
probe
in-context
learning
task
with
less
emphasis
over
direct
calculations;
recognize
positive
applications
educational
contexts;
highlight
a
potentially
emerging
facet
AI
could
necessitate
oversight;
introduce
unconventional
benchmarks,
which
like
GPT
untrained.
Pertaining
latter,
uncover
tendency
loss
coherence
extended
contexts.
findings
suggest
while
current
exhibits
comprehension
often
provides
relevant
outputs,
consistency
is
marred
by
occasional
hallucinations.
Intriguingly,
GPT-4's
overall
scores,
delivered
mere
moments,
align
closely
human
graders,
although
its
detailed
suboptimal.
This
work
suggests
that,
when
appropriately
orchestrated,
collaboration
between
graders
LLMs
might
combine
their
unique
strengths
mitigating
respective
shortcomings
direction,
it
imperative
consider
implementing
transparency,
fairness,
appropriate
regulations
near
future.
IEEE Access,
Год журнала:
2024,
Номер
12, С. 30518 - 30532
Опубликована: Янв. 1, 2024
This
article
presents
a
scientometric
and
literature
analysis
of
current
research
on
ChatGPT,
conversational
AI
technology
developed
by
OpenAI.
Using
various
databases,
103
relevant
articles
were
retrieved
analyzed
through
scientometric,
quantitative,
application-based
approaches.
A
Google
trend
comparison
with
other
generative
chatbot
technologies
also
carried
out.
The
study
provides
insights
into
the
distribution
ChatGPT
publications
across
different
countries
regions,
network
co-occurring
keywords,
authorship
analysis,
typology,
publishing
entities.
findings
offer
comprehensive
overview
state
research,
highlighting
key
directions
for
future
research.
finds
that
has
gained
significant
attention
interest
in
online
platforms,
particularly
technology,
education,
healthcare,
highlights
potential
ethical
legal
concerns
related
to
its
use.
Its
applications
extend
several
literary
text
generation
areas.
We
do
note
sample
extracted
is
lower
than
anticipated
due
niche
area
investigation.
researchers,
practitioners,
policymakers
interested
field
AI-powered
language
models,
especially
ChatGPT.
