Generative
Artificial
intelligence
(GenAI)
such
as
ChatGPT
has
elicited
strong
reactions
from
almost
all
stakeholders
across
the
education
system.
Education-oriented
and
academic
social
media
communities
provide
an
important
venue
for
these
to
share
experiences
exchange
ideas
about
GenAI,
which
is
constructive
developing
human-centered
policies.
This
study
examines
early
user
consisting
of
725
Reddit
threads
between
06/2022
05/2023.
Through
natural
language
processing
(NLP)
content
analysis,
we
observe
increasingly
negative
sentiment
in
discussion
identify
six
main
categories
student
faculty
GenAI
education.
These
reflect
concerns
integrity
AI's
impact
on
value
traditional
Our
analysis
also
highlights
additional
workload
imposed
by
new
technologies.
findings
suggest
that
dialogue
community
critical
can
mitigate
sources
tension
students
faculty.
Informatics,
Год журнала:
2025,
Номер
12(2), С. 36 - 36
Опубликована: Апрель 7, 2025
A
significant
portion
of
the
academic
community,
including
students,
teachers,
and
researchers,
has
incorporated
generative
artificial
intelligence
(GenAI)
tools
into
their
everyday
tasks.
Alongside
increased
productivity
numerous
benefits,
specific
challenges
that
are
fundamental
to
maintaining
integrity
excellence
must
be
addressed.
This
paper
examines
whether
ethical
implications
related
copyrights
authorship,
transparency,
responsibility,
influence
usage
GenAI
in
higher
education,
with
emphasis
on
differences
across
segments.
The
findings,
based
a
survey
883
researchers
at
University
North
Croatia,
reveal
awareness
roles,
gender,
experience
tools.
Teachers
demonstrated
highest
principles,
personal
potential
negative
consequences,
while
students—particularly
undergraduates—showed
lower
levels,
likely
due
limited
exposure
structured
training.
Gender
were
also
significant,
females
consistently
demonstrating
all
dimensions
compared
males.
Longer
was
associated
greater
awareness,
emphasizing
role
familiarity
fostering
understanding.
Although
strong
correlations
observed
between
dimensions,
connection
future
adoption
weaker,
highlighting
need
integrate
education
practical
strategies
for
responsible
tool
use.
Information,
Год журнала:
2024,
Номер
15(9), С. 543 - 543
Опубликована: Сен. 5, 2024
ChatGPT
is
a
large
language
model
trained
on
increasingly
datasets
to
perform
diverse
language-based
tasks.
It
capable
of
answering
multiple-choice
questions,
such
as
those
posed
by
medical
examinations.
has
been
generating
considerable
attention
in
both
academic
and
non-academic
domains
recent
months.
In
this
study,
we
aimed
assess
GPT’s
performance
anatomical
questions
retrieved
from
licensing
examinations
Germany.
Two
different
versions
were
compared.
GPT-3.5
demonstrated
moderate
accuracy,
correctly
60–64%
the
autumn
2022
spring
2021
exams.
contrast,
GPT-4.o
showed
significant
improvement,
achieving
93%
accuracy
exam
100%
exam.
When
tested
30
unique
not
available
online,
maintained
96%
rate.
Furthermore,
consistently
outperformed
students
across
six
state
exams,
with
statistically
mean
score
95.54%
compared
students’
72.15%.
The
study
demonstrates
that
outperforms
its
predecessor,
GPT-3.5,
cohort
students,
indicating
potential
powerful
tool
education
assessment.
This
improvement
highlights
rapid
evolution
LLMs
suggests
AI
could
play
an
important
role
supporting
enhancing
training,
potentially
offering
supplementary
resources
for
professionals.
However,
further
research
needed
limitations
practical
applications
systems
real-world
practice.
Innovations in Education and Teaching International,
Год журнала:
2025,
Номер
unknown, С. 1 - 17
Опубликована: Янв. 10, 2025
This
study
investigated
the
application
of
Kolb
model
to
assess
efficacy
ChatGPT
in
enhancing
English
grammar
learning.
Data
were
gathered
through
interviews
and
observations.
By
analysing
data
across
model's
stages
-
concrete
experience,
reflective
observation,
abstract
conceptualisation,
active
experimentation
both
strengths
weaknesses
become
apparent.
The
results
indicated
that
while
encourages
interactive
learning
enthusiasm
among
students,
there
is
a
prevailing
doubt
regarding
its
accuracy,
underscoring
necessity
maintaining
critical
mindset
towards
AI-generated
content.
Participants
emphasised
ChatGPT's
supportive
role
education,
aiding
understanding
applying
concepts.
However,
concerns
occasional
inaccuracies
struggles
understand
contextual
nuances
are
observed.
highlights
importance
human
involvement
AI
tools
need
for
students
develop
technological
literacy.
Furthermore,
it
proposes
pedagogical
effectively
utilising
education
Big Data and Cognitive Computing,
Год журнала:
2025,
Номер
9(3), С. 50 - 50
Опубликована: Фев. 20, 2025
Large
language
models
(LLMs)
have
demonstrated
remarkable
capabilities
in
text
generation,
which
also
raise
numerous
concerns
about
their
potential
misuse,
especially
educational
exercises
and
academic
writing.
Accurately
identifying
tracing
the
origins
of
LLM-generated
content
is
crucial
for
accountability
transparency,
ensuring
responsible
use
LLMs
environments.
Previous
methods
utilize
binary
classifiers
to
discriminate
whether
a
piece
was
written
by
human
or
generated
specific
LLM
employ
multi-class
trace
source
from
fixed
set.
These
methods,
however,
are
restricted
one
several
pre-specified
cannot
generalize
new
LLMs,
continually
emerging.
This
study
formulates
class-incremental
learning
(CIL)
fashion,
where
emerge,
model
incrementally
learns
identify
without
forgetting
old
ones.
A
training-free
continual
method
further
devised
task,
idea
extract
prototypes
emerging
using
frozen
encoder,
then
perform
origin
via
prototype
matching
after
delicate
decorrelation
process.
For
evaluation,
two
datasets
constructed,
English
Chinese.
simulate
scenario
six
emerge
over
time
used
generate
student
essays,
an
detector
has
expand
its
recognition
scope
as
appear.
Experimental
results
show
that
proposed
achieves
average
accuracy
97.04%
on
dataset
91.23%
Chinese
dataset.
validate
feasibility
verify
effectiveness
detecting
cheating
coursework.
Teaching of Psychology,
Год журнала:
2025,
Номер
unknown
Опубликована: Март 11, 2025
Background
The
validity
of
unmonitored
online
exams
has
raised
concerns
about
academic
integrity
and
grade
inflation,
especially
given
the
rise
artificial
intelligence–powered
tools.
Objective
This
study
evaluates
by
comparing
student
performance
between
two
sections
an
undergraduate
personality
psychology
course:
one
section
completed
multiple-choice
final
exam
while
other
in-person
exam.
Method
A
quasi-experimental
design
was
used
with
course
sections.
Section
1
(Spring
2022,
n
=
153)
took
exam,
2
2023,
160)
Both
identical
throughout
semester.
Results
Online
scores
were
significantly
higher
than
scores.
correlation
regular
strong
for
but
weak
Exam
format
a
stronger
predictor
prior
performance.
Conclusion
Unmonitored
lead
to
inflated
may
not
reflect
students’
true
abilities.
Teaching
Implications
Educators
should
reconsider
using
high-stakes
assessments
explore
alternative
methods
or
enhanced
monitoring
maintain
integrity.
Benchmarking An International Journal,
Год журнала:
2025,
Номер
unknown
Опубликована: Март 24, 2025
Purpose
This
research
uses
a
mixed-methods
approach
to
identify
predictors
of
Generative
artificial
intelligence
(Gen-AI)
adoption
and
usage
among
academics
educational
researchers.
It
examines
drivers
barriers
based
on
the
diffusion
innovation
theory
(DIT)
planned
behaviour
(TPB).
Design/methodology/approach
A
qualitative
investigation
was
carried
out
by
conducting
interviews
academic
researchers
who
used
Gen-AI
tools
such
as
ChatGPT.
Based
DIT,
TPB
analysis
results,
an
integrated
model
proposed
tested
using
survey
data
collected
from
analysed
partial
least
squares-structural
equation
modelling
(PLS-SEM).
Findings
The
study
demonstrated
that
relative
advantages
observability
influence
attitude
subjective
norms,
these
in
turn
impact
behavioural
intentions.
Researchers'
perception
advantage
their
intentions
use
were
found
lead
positive
behaviours.
However,
technical
limitations
ethical
concerns
acted
key
moderators
between
intention
norms
intention,
respectively.
Mediation
effects
also
observed.
Research
limitations/implications
utilised
DIT
its
base
models,
future
could
incorporate
additional
constructs
other
technology
theories.
concentrated
had
subsequently
reported
significant
factors
affecting
usage.
Future
studies
should
consider
perspective
non-users
tools.
Further,
geographical
focus
India,
broaden
scope.
Practical
implications
community
must
unite
develop
guidelines
for
plagiarism
research.
be
emphasising
importance
highlights
need
establishing
standards,
comprehensive
transparently
within
framework.
Originality/value
results
can
greatly
enhance
understanding
researchers,
particularly
light
about
integrity
potential
negative
consequences
Advances in Mobile Learning Educational Research,
Год журнала:
2024,
Номер
4(2), С. 1197 - 1207
Опубликована: Дек. 4, 2024
Artificial
intelligence
(AI)
in
education
is
increasing,
including
ChatGPT
as
a
learning
tool
physics
subjects.
This
study
aims
to
analyze
high
school
students'
perceptions
of
using
learning,
focusing
on
demographic
factors
such
gender,
academic
level,
and
duration
use.
Involving
167
students,
the
used
survey
evaluate
views
various
aspects
experience
with
ChatGPT,
effectiveness,
clarity,
consistency
information,
tool's
ability
enrich
understanding
concepts.
Results
showed
that
were
positive
overall,
perceived
helping
deepen
concept
understanding,
improving
correct
misconceptions,
providing
an
enjoyable
experience.
Significant
differences
found
based
gender
while
use
no
overall
significant
effect,
though
longer
enhanced
specific
benefits.
These
findings
highlight
potential
support
by
addressing
diverse
needs
outcomes,
offering
insights
for
educators
integrating
AI
tools
effectively
into
classrooms.
Contemporary Educational Technology,
Год журнала:
2024,
Номер
17(1), С. ep559 - ep559
Опубликована: Дек. 30, 2024
The
rapid
advancement
of
artificial
intelligence
(AI)
technologies,
particularly
OpenAI’s
ChatGPT,
has
significantly
impacted
higher
education
institutions
(HEIs),
offering
opportunities
and
challenges.
While
these
tools
enhance
personalized
learning
content
generation,
they
threaten
academic
integrity,
especially
in
assessment
environments.
This
study
systematically
examines
the
impact
ChatGPT
on
integrity
HEIs,
focusing
exam
design,
strategies,
AI
detection
tools,
policy
frameworks.
research
draws
from
current
literature
expert
recommendations
to
identify
practical
approaches
for
developing
assessments
that
foster
critical
thinking
deep
cognitive
engagement,
making
them
less
susceptible
AI-generated
content.
Key
areas
explored
include
creation
complex,
analytical
formats,
deploying
advanced
software
counter
AI-assisted
cheating,
formulating
institutional
policies
promote
ethical
use
AI.
comprehensive
framework
aims
equip
educators
administrators
with
strategies
preserve
standards
while
harnessing
potential
benefits
AI,
ensuring
continued
validity
AI-driven
educational
landscape.
