The
recent
emergence
of
ChatGPT
(CGPT)
has
been
considered
a
machine-learning
breakthrough
by
many
for
its
ability
to
"speak"
like
human
and
explain,
tutor,
assist.
In
this
study,
the
CGPT
solve
competitive
mathematics
problems
from
AMC
(American
Mathematics
Competitions)
with
varying
type
complexity
was
evaluated.
were
categorized
into
five
fields
specified
number
theory,
geometry,
algebra,
combinatorics,
computation,
then
further
three
different
levels
(easy,
normal,
hard).
Results
indicated
that
performed
best
in
theory
computation
categories
but
did
not
perform
well
subjects
such
as
geometry
combinatorics.
On
average,
50
60
percent
correctly
solved
CGPT;
however,
it
could
most
higher
complexity.
This
point
failed
apply
concepts
crucial
solving
specific
problems.
Therefore,
found
be
weak
skills
involving
spatial
reasoning
problem-solving.
e-Kafkas Eğitim Araştırmaları Dergisi,
Год журнала:
2025,
Номер
12(1), С. 213 - 231
Опубликована: Апрель 22, 2025
Artificial
intelligence
(AI)
and
AI-based
tools
are
becoming
increasingly
important
in
mathematics
education
due
to
their
potential
enrich
learning
experiences,
provide
customized
solutions,
increase
the
effectiveness
of
processes.
This
case
study
was
conducted
examine
impact
tool
experiences
on
pre-service
teachers'
(PMTs)
mathematical
concept
images.
As
a
result
content
analysis,
data
were
categorized
under
themes
component,
understanding,
association,
changes
PMTs'
images
after
ChatGPT
examined
according
these
themes.
Although
not
always,
experience
had
an
effect
general.
In
particular,
PMTs
mentioned
more
components
that
directly
related
concepts,
while
associating
concepts
with
different
terms
decreased.
However,
there
partial
transformations
understandings
concepts.
While
subjective
knowledge
decreased,
objective
increased
unnecessary
repetitions
conclusion,
contributed
development
PMTs,
but
this
contribution
at
same
level
for
all
Journal of Computer Assisted Learning,
Год журнала:
2025,
Номер
41(3)
Опубликована: Май 5, 2025
ABSTRACT
Background
Increasingly,
students
are
using
ChatGPT
to
assist
them
in
learning
and
even
completing
their
assessments,
raising
concerns
of
academic
integrity
loss
critical
thinking
skills.
Many
articles
suggested
educators
redesign
assessments
that
more
‘Generative‐AI‐resistant’
focus
on
assessing
higher
order
However,
there
is
a
lack
attempt
quantify
at
different
cognitive
levels
provide
empirical
study
insights
ChatGPT's
performance
levels,
which
will
affect
how
assessments.
Objectives
Educators
need
new
information
well
performs
future
assess
this
paradigm.
This
paper
attempts
fill
the
gap
research
by
spreadsheet
modelling
tested
four
prompt
engineering
settings,
knowledge
support
assessment
redesign.
Our
proposed
methodology
can
be
applied
other
course
modules
for
achieve
respective
designs
actions.
Methods
We
evaluated
3.5
solving
spreadsheets
questions
with
multiple
linked
test
items
categorised
according
revised
Bloom's
taxonomy.
compared
accuracy
settings
namely
Zero‐Shot‐Baseline
(ZSB),
Zero‐Shot‐Chain‐of‐Thought
(ZSCoT),
One‐Shot
(OS),
One‐Shot‐Chain‐of‐Thought
(OSCoT),
establish
tackled
technical
each
setting,
setting
effective
enhancing
level.
Results
found
was
good
up
Level
3
taxonomy
ZSB,
its
decreased
as
level
increased.
From
4
onwards,
it
did
not
perform
well,
committing
many
mistakes.
ZSCoT
would
modest
improvements
5,
making
possible
concern
instructors.
OS
very
significant
Levels
4,
while
OSCoT
needed
improvement
5.
None
prompts
able
improve
response
quality
6.
Conclusions
concluded
must
cognizant
questions,
enhanced
from
suitable
prompts.
To
develop
students'
abilities,
we
provided
recommendations
aim
mitigate
negative
impact
student
leverage
enhance
learning,
considering
levels.
This
paper
explores
the
integration
of
ChatGPT,
a
state-of-the-art
language
model,
in
domain
cultural
heritage
Artificial
Intelligence-based
e-learning,
with
specific
focus
on
analysis
and
interpretation
lyrics
poems.
Cultural
preservation
education
have
increasingly
turned
to
Intelligence
(AI)
technologies
enhance
learning
experiences
promote
understanding
appreciation
diverse
artistic
expressions.
We
conducted
an
initial
empirical
study
how
ChatGPT
can
assist
learners
analysing
interpreting
poetic
works,
offering
insights
into
historical,
cultural,
literary
significance
embedded
within
verses.
Our
findings
highlight
ChatGPT's
significant
potential
but
also
major
weaknesses
respect
poetry
lyrics.
was
found
particularly
good
field
content.
Additionally,
showed
very
performance
analogy
identification,
demonstrating
broad
knowledge
base
encompassing
various
form
poetry,
from
Ancient
Greek
works
ecclesiastic
hymns
modern
compositions.
However,
opportunities
for
enhancement
are
evident
translation
historical
context
provision.
Finally,
weakest
aspect
its
factual
accuracy,
occasionally
producing
errors
without
indicating
uncertainty
responses.
Consequently,
while
displays
substantial
promise,
application
e-learning
settings
is
not
mature
due
observed
inaccuracies.
Furthermore,
we
introduced
MUSILYAN,
specialised
software
tool
designed
musicological
lyrical
analysis,
complementing
capabilities.
While
Chat-GPT
excels
natural
generation,
MUSILYAN
offers
structured
semantic
content
management
thematic
organisation
The
holds
promise
enhancing
exploration
Advances in educational technologies and instructional design book series,
Год журнала:
2024,
Номер
unknown, С. 327 - 349
Опубликована: Фев. 7, 2024
With
the
development
of
technology,
AI
has
been
subject
intense
research
in
field
education,
with
ChatGPT,
adoption
generative
education.
But
only
gained
attention
last
few
years.
Therefore,
there
are
not
many
results
on
application
flipped
classrooms,
and
questions
that
need
to
be
explored
verified
by
researchers.
In
this
study,
a
classroom
combined
tools
promote
personalized
learning
was
studied.
A
theme
music
course
selected
for
design
pilot
study
conducted.
The
show
teachers
students
have
very
different
views
research,
phenomenon
is
summarized
analyzed,
finally
some
suggestions
made
help
better
use
classroom.
The
new
wave
of
buzzword
technology
has
launched
the
Chat
Generative
Pre-Trained
Transformer
(ChatGPT).
ChatGPT
application,
besides
its
benefits,
created
a
worldwide
heated
debate
about
impact
on
quality
and
future
education.
Artificial
intelligence
other
computing
advancements
have
dominated
academic
scene
main
aim
this
paper
is
to
map
out
use
writing
at
Moroccan
universities.
researchers
designed
questionnaire
for
purpose
study.
research
targets
university
students
educators
their
possible
expertise
in
writing.
distribution
intends
ensure
representation
across
levels
education,
age,
gender.
One
hundred
eighty
volunteers
participated
by
providing
insightful
data
investigation.
results
study
revealed
that
participants
confirm
value
efficacy
as
tool;
respondents
admit
can
be
both
beneficial
harmful
students.
Students
different
educational
venture
into
without
guidance
training.
They
are
crossroads
direction
signs
implementing
appropriately,
so
they
astray
whether
academically,
how,
where.
educators,
though
provided
with
accounts
iThenticate
plagiarism
detector,
stay
aloof
claim
training
turn,
but
authorities,
ministry,
universities
continue
keep
taciturn.
Arab World English Journal,
Год журнала:
2024,
Номер
1(1), С. 4 - 25
Опубликована: Апрель 23, 2024
The
new
wave
of
buzzword
technology
has
launched
the
Chat
Generative
Pre-Trained
Transformer
(ChatGPT).
ChatGPT
application,
besides
its
benefits,
created
a
worldwide
heated
debate
about
impact
on
quality
and
future
education.
Artificial
intelligence
other
computing
advancements
have
dominated
academic
scene
main
aim
this
paper
is
to
map
out
use
writing
at
Moroccan
universities.
researchers
designed
questionnaire
for
purpose
study.
research
targets
university
students
educators
their
possible
expertise
in
writing.
distribution
intends
ensure
representation
across
levels
education,
age,
gender.
One
hundred
eighty
volunteers
participated
by
providing
insightful
data
investigation.
results
study
revealed
that
participants
confirm
value
efficacy
as
tool;
respondents
admit
can
be
both
beneficial
harmful
students.
Students
different
educational
venture
into
without
guidance
training.
They
are
crossroads
direction
signs
implementing
appropriately,
so
they
astray
whether
academically,
how,
where.
educators,
though
provided
with
accounts
iThenticate
plagiarism
detector,
stay
aloof
claim
training
turn,
but
authorities,
ministry,
universities
continue
keep
taciturn.
Eğitim Ve İnsani Bilimler Dergisi Teori Ve Uygulama,
Год журнала:
2024,
Номер
unknown
Опубликована: Окт. 8, 2024
This
study
aims
to
determine
teachers'
views
on
the
use
of
ChatGPT
in
preschool
education.
The
was
conducted
using
a
case
study,
which
is
one
qualitative
research
methods.
In
2023–2024
academic
year,
group
consisted
16
teachers
working
province
Eastern
Anatolia
Region
Turkey.
researcher
developed
semi-structured
interview
form
and
used
diaries
as
data
collection
tools.
An
inductive
content
analysis
approach
described
from
interviews
with
participating
diaries.
findings
revealed
that
most
thought
suitable
for
education
due
its
potential,
such
creating
personalized
creative
activities
suggesting
games
stories.
However,
negative
opinions
about
potential
problems
obtaining
misinformation,
technology
addiction,
decreased
social
interaction,
deriving
age-inappropriate
were
also
identified.
Teachers
agreed
has
terms
language
development,
individual
learning
support,
development
creativity,
fast
access
information,
story
creation,
but
they
had
common
opinion
it
can
be
harmful,
increasing
screen
time,
reducing
not
fully
supporting
emotional
aspects.
For
successful
integration
at
pre-school
level,
technical
requirements
tablets
computers
may
needed,
well
teacher
trainings,
guide
how
effectively,
information
parents.
School
administrators,
teachers,
parents
should
receive
training
ChatGPT,
suggested.
In
2022,
OpenAI's
unveiling
of
generative
AI
Large
Language
Models
(LLMs)-ChatGPT,
heralded
a
significant
leap
forward
in
human-machine
interaction
through
cutting-edge
technologies.With
its
surging
popularity,
scholars
across
various
fields
have
begun
to
delve
into
the
myriad
applications
ChatGPT.While
existing
literature
reviews
on
LLMs
like
ChatGPT
are
available,
there
is
notable
absence
systematic
(SLRs)
and
bibliometric
analyses
assessing
research's
multidisciplinary
geographical
breadth.This
study
aims
bridge
this
gap
by
synthesizing
evaluating
how
has
been
integrated
diverse
research
areas,
focusing
scope
distribution
studies.Through
review
scholarly
articles,
we
chart
global
utilization
scientific
domains,
exploring
contribution
advancing
paradigms
adoption
trends
among
different
disciplines.Our
findings
reveal
widespread
endorsement
multiple
fields,
with
implementations
healthcare
(38.6%),
computer
science/IT
(18.6%),
education/research
(17.3%).Moreover,
our
demographic
analysis
underscores
ChatGPT's
reach
accessibility,
indicating
participation
from
80
unique
countries
ChatGPT-related
research,
most
frequent
keyword
occurrence,
USA
(719),
China
(181),
India
(157)
leading
contributions.Additionally,
highlights
roles
institutions
such
as
King
Saud
University,
All
Institute
Medical
Sciences,
Taipei
University
pioneering
dataset.This
not
only
sheds
light
vast
opportunities
challenges
posed
pursuits
but
also
acts
pivotal
resource
for
future
inquiries.It
emphasizes
that
(LLM)
role
revolutionizing
every
field.The
insights
provided
paper
particularly
valuable
academics,
researchers,
practitioners
disciplines,
well
policymakers
looking
grasp
extensive
impact
technologies
community.
The
recent
emergence
of
ChatGPT
(CGPT)
has
been
considered
a
machine-learning
breakthrough
by
many
for
its
ability
to
"speak"
like
human
and
explain,
tutor,
assist.
In
this
study,
the
CGPT
solve
competitive
mathematics
problems
from
AMC
(American
Mathematics
Competitions)
with
varying
type
complexity
was
evaluated.
were
categorized
into
five
fields
specified
number
theory,
geometry,
algebra,
combinatorics,
computation,
then
further
three
different
levels
(easy,
normal,
hard).
Results
indicated
that
performed
best
in
theory
computation
categories
but
did
not
perform
well
subjects
such
as
geometry
combinatorics.
On
average,
50
60
percent
correctly
solved
CGPT;
however,
it
could
most
higher
complexity.
This
point
failed
apply
concepts
crucial
solving
specific
problems.
Therefore,
found
be
weak
skills
involving
spatial
reasoning
problem-solving.
