Journal of Medical Internet Research,
Год журнала:
2024,
Номер
26, С. e57896 - e57896
Опубликована: Июнь 29, 2024
ChatGPT,
a
generative
pretrained
transformer,
has
garnered
global
attention
and
sparked
discussions
since
its
introduction
on
November
30,
2022.
However,
it
generated
controversy
within
the
realms
of
medical
education
scientific
research.
This
paper
examines
potential
applications,
limitations,
strategies
for
using
ChatGPT.
ChatGPT
offers
personalized
learning
support
to
students
through
robust
natural
language
generation
capabilities,
enabling
furnish
answers.
Moreover,
demonstrated
significant
use
in
simulating
clinical
scenarios,
facilitating
teaching
processes,
revitalizing
education.
Nonetheless,
numerous
challenges
accompany
these
advancements.
In
context
education,
is
paramount
importance
prevent
excessive
reliance
combat
academic
plagiarism.
Likewise,
field
medicine,
vital
guarantee
timeliness,
accuracy,
reliability
content
by
Concurrently,
ethical
concerns
regarding
information
security
arise.
light
challenges,
this
proposes
targeted
addressing
them.
First,
risk
overreliance
plagiarism
must
be
mitigated
ideological
fostering
comprehensive
competencies,
implementing
diverse
evaluation
criteria.
The
integration
contemporary
pedagogical
methodologies
conjunction
with
serves
enhance
overall
quality
To
professionalism
content,
recommended
implement
measures
optimize
ChatGPT’s
training
data
professionally
transparency
process.
ensures
that
aligned
most
recent
standards
practice.
enhancement
value
alignment
establishment
pertinent
legislation
or
codes
practice
address
concerns,
including
those
pertaining
algorithmic
discrimination,
allocation
responsibility,
privacy,
security.
conclusion,
while
presents
also
encounters
various
challenges.
Through
research
implementation
suitable
strategies,
anticipated
positive
impact
will
harnessed,
laying
groundwork
advancing
discipline
development
high-caliber
professionals.
Thinking Skills and Creativity,
Год журнала:
2024,
Номер
52, С. 101522 - 101522
Опубликована: Март 27, 2024
This
research
evaluated
ChatGPT's
potential
as
a
tool
for
grading
programming
tasks,
exploring
its
capability
to
understand
and
assess
code
quality.
The
study
took
place
over
15-week
Python
course
with
67
students
of
the
Cognitive
Science
program.
Nine
different
assignments
were
assessed
by
both
teacher
ChatGPT
system,
differences
recorded.
teacher's
grades
higher
than
those
generated
ChatGPT.
Despite
this,
there
was
strong
positive
correlation
between
these
grades,
suggesting
consensus
agreement
in
grading.
Nonetheless,
repeatability
evaluations
excellent,
observed
successive
during
iterations
negligible.
concludes
that
could
be
beneficial
assignments,
providing
several
advantages
such
time
efficiency,
quality
assessment,
unbiased
grading,
enforcement
coding
standards,
ability
generate
feedback.
However,
system
has
limitations
cost,
hallucinations,
lack
absolute
reproducible
results,
occasional
need
intervention.
suggests
artificial
intelligence
model
complement
or
even
substitute
human
but
requires
careful
usage
verification
teacher.
International Journal of Educational Technology in Higher Education,
Год журнала:
2024,
Номер
21(1)
Опубликована: Июнь 2, 2024
Abstract
Artificial
Intelligence
(AI)
chatbots
are
increasingly
becoming
integral
components
of
the
digital
learning
ecosystem.
As
AI
technologies
continue
to
evolve,
it
is
crucial
understand
factors
influencing
their
adoption
and
use
among
students
in
higher
education.
This
study
undertaken
against
this
backdrop
explore
behavioral
determinants
associated
with
Chatbot,
ChatGPT,
university
students.
The
investigation
delves
into
role
ChatGPT’s
self-learning
capabilities
influence
on
students’
knowledge
acquisition
application,
subsequently
affecting
individual
impact.
It
further
elucidates
correlation
chatbot
personalization
novelty
value
benefits,
underscoring
importance
shaping
intentions.
Notably,
impact
revealed
have
a
positive
association
perceived
benefits
intention.
also
brings
light
potential
barriers
adoption,
identifying
privacy
concerns,
technophobia,
guilt
feelings
as
significant
detractors
from
However,
despite
these
impediments,
innovativeness
emerges
influencer,
enhancing
intention
actual
behavior.
comprehensive
exploration
multifaceted
influences
student
behavior
context
utilization
provides
robust
foundation
for
future
research.
offers
invaluable
insights
developers
educators,
aiding
them
crafting
more
effective
strategies
integration
educational
settings.
Information,
Год журнала:
2024,
Номер
15(1), С. 27 - 27
Опубликована: Янв. 2, 2024
The
Chat
Generative
Pre-training
Transformer
(GPT),
also
known
as
ChatGPT,
is
a
powerful
generative
AI
model
that
can
simulate
human-like
dialogues
across
variety
of
domains.
However,
this
popularity
has
attracted
the
attention
malicious
actors
who
exploit
ChatGPT
to
launch
cyberattacks.
This
paper
examines
tactics
adversaries
use
leverage
in
Attackers
pose
regular
users
and
manipulate
ChatGPT’s
vulnerability
interactions,
particularly
context
cyber
assault.
presents
illustrative
examples
cyberattacks
are
possible
with
discusses
realm
ChatGPT-fueled
cybersecurity
threats.
investigates
extent
user
awareness
relationship
between
A
survey
253
participants
was
conducted,
their
responses
were
measured
on
three-point
Likert
scale.
results
provide
comprehensive
understanding
how
be
used
improve
business
processes
identify
areas
for
improvement.
Over
80%
agreed
criminals
purposes.
finding
underscores
importance
improving
security
novel
model.
Organizations
must
take
steps
protect
computational
infrastructure.
analysis
highlights
opportunities
streamlining
processes,
service
quality,
increasing
efficiency.
Finally,
provides
recommendations
using
secure
manner,
outlining
ways
mitigate
potential
strengthen
defenses
against
adversaries.
Educational Psychology Review,
Год журнала:
2024,
Номер
36(1)
Опубликована: Фев. 27, 2024
Abstract
This
perspective
piece
explores
the
transformative
potential
and
associated
challenges
of
large
language
models
(LLMs)
in
education
how
those
might
be
addressed
utilizing
playful
game-based
learning.
While
providing
many
opportunities,
stochastic
elements
incorporated
present
LLMs
process
text,
requires
domain
expertise
for
a
critical
evaluation
responsible
use
generated
output.
Yet,
due
to
their
low
opportunity
cost,
may
pose
some
risk
over-reliance,
potentially
unintendedly
limiting
development
such
expertise.
Education
is
thus
faced
with
challenge
preserving
reliable
while
not
losing
out
on
emergent
opportunities.
To
address
this
challenge,
we
first
propose
approach
focusing
skill
practice
human
judgment.
Drawing
from
learning
research,
then
go
beyond
account
by
reflecting
well-designed
games
foster
willingness
practice,
nurturing
domain-specific
We
finally
give
new
pedagogy
AI
utilize
generating
gamifying
materials,
leveraging
full
human-AI
interaction
education.
Journal of Medical Internet Research,
Год журнала:
2024,
Номер
26, С. e57896 - e57896
Опубликована: Июнь 29, 2024
ChatGPT,
a
generative
pretrained
transformer,
has
garnered
global
attention
and
sparked
discussions
since
its
introduction
on
November
30,
2022.
However,
it
generated
controversy
within
the
realms
of
medical
education
scientific
research.
This
paper
examines
potential
applications,
limitations,
strategies
for
using
ChatGPT.
ChatGPT
offers
personalized
learning
support
to
students
through
robust
natural
language
generation
capabilities,
enabling
furnish
answers.
Moreover,
demonstrated
significant
use
in
simulating
clinical
scenarios,
facilitating
teaching
processes,
revitalizing
education.
Nonetheless,
numerous
challenges
accompany
these
advancements.
In
context
education,
is
paramount
importance
prevent
excessive
reliance
combat
academic
plagiarism.
Likewise,
field
medicine,
vital
guarantee
timeliness,
accuracy,
reliability
content
by
Concurrently,
ethical
concerns
regarding
information
security
arise.
light
challenges,
this
proposes
targeted
addressing
them.
First,
risk
overreliance
plagiarism
must
be
mitigated
ideological
fostering
comprehensive
competencies,
implementing
diverse
evaluation
criteria.
The
integration
contemporary
pedagogical
methodologies
conjunction
with
serves
enhance
overall
quality
To
professionalism
content,
recommended
implement
measures
optimize
ChatGPT’s
training
data
professionally
transparency
process.
ensures
that
aligned
most
recent
standards
practice.
enhancement
value
alignment
establishment
pertinent
legislation
or
codes
practice
address
concerns,
including
those
pertaining
algorithmic
discrimination,
allocation
responsibility,
privacy,
security.
conclusion,
while
presents
also
encounters
various
challenges.
Through
research
implementation
suitable
strategies,
anticipated
positive
impact
will
harnessed,
laying
groundwork
advancing
discipline
development
high-caliber
professionals.
