Does ChatGPT enhance student learning? A systematic review and meta-analysis of experimental studies
Computers & Education,
Год журнала:
2024,
Номер
unknown, С. 105224 - 105224
Опубликована: Дек. 1, 2024
Язык: Английский
Academic Integrity and Ethics in Higher Education
Advances in library and information science (ALIS) book series,
Год журнала:
2025,
Номер
unknown, С. 195 - 224
Опубликована: Янв. 9, 2025
This
study
addresses
the
merits,
cons,
and
ethics
of
huge
language
models
AI
in
academic
writing
research.
The
chapter
examined
how
these
technologies
may
damage
scholarly
integrity.
Its
key
values
include
controlled
use
academia
(unlike
unscrupulous
laypersons)
potential
erosion
faculty
administrative
trust
students
who
employ
for
this
purpose.
It
believes
human
researchers
should
explicitly
define
outstanding
knowledge.
then
describes
plagiarism
are
affecting
mentions
some
organizations
reacting.
Analysis
also
emphasizes
campus
These
exercises
promote
student
honesty.
They
aim
to
eliminate
integrity
violations
annually.
Enhancing
collaboration,
educating
them
about
cheating,
proactively
identifying
transgressions
promising
techniques.
highlights
Chitkara
University's
prevention
procedures,
highlighting
need
strict
limitations,
teamwork,
education
constructing
a
just
society.
Язык: Английский
Exploring knowledge, attitudes, and practices of academics in the field of educational sciences towards using ChatGPT
Education and Information Technologies,
Год журнала:
2025,
Номер
unknown
Опубликована: Янв. 6, 2025
Язык: Английский
Perceptions of Artificial Intelligence and ChatGPT by Speech-Language Pathologists and Students
J. L. Austin,
Keith Benas,
Sara Caicedo
и другие.
American Journal of Speech-Language Pathology,
Год журнала:
2024,
Номер
unknown, С. 1 - 27
Опубликована: Ноя. 4, 2024
Purpose:
This
project
explores
the
perceived
implications
of
artificial
intelligence
(AI)
tools
and
generative
language
tools,
like
ChatGPT,
on
practice
in
speech-language
pathology.
Method:
A
total
107
clinician
(
n
=
60)
student
47)
participants
completed
an
87-item
survey
that
included
Likert-style
questions
open-ended
qualitative
responses.
The
explored
participants'
current
frequency
use,
experience
with
AI
ethical
concerns,
concern
replacing
clinicians,
as
well
likelihood
to
use
particular
professional
clinical
areas.
Results
were
analyzed
context
responses
typed-response
questions.
Results:
series
analyses
indicated
are
somewhat
knowledgeable
experienced
GPT
software
other
tools.
Despite
a
positive
outlook
belief
helpful
for
practice,
programs
ChatGPT
infrequently
used
by
pathologists
students
purposes,
mostly
restricted
administrative
tasks.
Conclusion:
While
impressions
cite
beneficial
ways
can
enhance
clinician's
workloads,
indicate
hesitancy
call
institutional
guidelines
training
its
adoption.
Язык: Английский
To use or not to use: exploring the ethical implications of using generative AI in academic writing
AI and Ethics,
Год журнала:
2024,
Номер
unknown
Опубликована: Дек. 20, 2024
Abstract
The
rapid
emergence
of
open-access
generative
artificial
intelligence
(GenAI)
has
sparked
a
heated
debate
with
polarising
views
on
whether
or
not
it
is
ethical
to
use
GenAI
for
academic
writing.
In
this
commentary,
I
explore
the
implications
using
in
provide
an
overview
how
works
as
probabilistic
model
and
what
limitations
are,
such
generating
incorrect
entirely
made-up
information.
raise
concerns
about
bias,
misinformation,
plagiarism,
inequity
access
monetisation
knowledge
discuss
implicates
values
regarding
plagiarism
research
integrity.
Despite
these
issues,
also
acknowledge
potential
advance
writing
by
aiding
tasks
like
structuring
text
summarising
large
bodies
emphasise
need
be
transparent
call
open
discussion
contentious,
yet
important,
topic.
Язык: Английский
Artificial Intelligence Creates Plagiarism or Academic Research?
Deleted Journal,
Год журнала:
2024,
Номер
1(6), С. 169 - 179
Опубликована: Ноя. 1, 2024
Integrating
artificial
intelligence
(AI)
into
academic
research
has
sparked
a
significant
discourse
surrounding
its
ethical
implications
and
potential
benefits.
This
paper
explores
the
complex
relationship
between
AI-generated
content
integrity,
highlighting
challenges
of
blurring
lines
assistance
dishonesty.
As
educational
institutions
increasingly
adopt
AI
tools,
necessity
for
scholars
students
to
reevaluate
boundaries
originality
becomes
paramount.
The
considerations
in
writing
encompass
property,
accuracy,
integrity
issues,
necessitating
commitment
citation
practices
uphold
scholarly
standards.
Moreover,
while
can
enhance
quality
streamline
processes,
it
also
raises
concerns
about
unintentional
plagiarism
authenticity
original
thought.
reliance
on
tools
may
lead
derivative
outputs,
complicating
distinction
genuine
creativity
plagiarism.
To
address
these
challenges,
must
implement
robust
training
programs
that
promote
use
AI,
ensuring
responsibly
integrate
contributions
their
work.
Case
studies
demonstrate
when
used
effectively,
augment
performance
foster
deeper
engagement
with
learning
materials,
illustrating
as
valuable
resource.
Ultimately,
this
advocates
balanced
approach
embraces
benefits
maintaining
strong
scholarship,
thereby
shaping
future
where
technology
enhances
rather
than
undermines
integrity.
Язык: Английский