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.
Connection Science,
Год журнала:
2024,
Номер
36(1)
Опубликована: Май 16, 2024
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
synthesising
evaluating
how
has
been
integrated
diverse
research
areas,
focussing
scope
distribution
studies.
Through
review
scholarly
articles,
we
chart
global
utilisation
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.
not
only
sheds
light
vast
opportunities
challenges
posed
pursuits
but
also
acts
pivotal
resource
for
future
inquiries.
It
emphasises
that
(LLM)
role
revolutionising
every
field.
The
insights
provided
paper
particularly
valuable
academics,
researchers,
practitioners
disciplines,
well
policymakers
looking
grasp
extensive
impact
technologies
community.
Digital Experiences in Mathematics Education,
Год журнала:
2025,
Номер
unknown
Опубликована: Янв. 11, 2025
Abstract
This
study
investigates
the
beliefs
and
practices
of
secondary
school
mathematics
teachers
in
Malta
regarding
potential
generative
artificial
intelligence
(GenAI),
particularly
through
tools
like
ChatGPT,
teaching,
using
TPACK
framework.
Through
a
case
methodology
involving
pre-
post-professional
development
(PD)
session
surveys
analysis
field
notes,
research
examines
alignment
between
teachers’
self-reported
pedagogical
their
perceptions
ChatGPT’s
utility.
Findings
show
teachers,
those
with
discovery
connectionist
educational
philosophies,
view
ChatGPT
positively,
believing
it
fosters
active
learning,
encourages
exploration,
supports
individualised
engagement.
Despite
challenges
interpreting
visual
mathematical
representations
inaccuracies,
see
as
tool
for
creating
practice
problems,
assessments,
personalised
feedback,
aligning
trends
existing
literature.
The
underscores
necessity
ongoing
PD
to
equip
skills
integrate
effectively
into
pedagogy,
suggesting
deeper
understanding
both
opportunities
presented
by
GenAI
education.
suggests
readiness
among
educators
adopt
innovative
technologies
that
align
contemporary
values,
enhancing
teaching
learning
experience
mathematics.
contributes
body
knowledge
on
integration
education,
highlighting
importance
technology
maximise
its
benefits
recognising
change
education
facilitating
engagement
while
also
acknowledging
limitations
ethical
implications.
Computers,
Год журнала:
2024,
Номер
13(8), С. 187 - 187
Опубликована: Июль 30, 2024
This
paper
explores
the
performance
of
ChatGPT
and
GeoGebra
Discovery
when
dealing
with
automatic
geometric
reasoning
discovery.
The
emergence
Large
Language
Models
has
attracted
considerable
attention
in
mathematics,
among
other
fields
where
intelligence
should
be
present.
We
revisit
a
couple
elementary
Euclidean
geometry
theorems
discussed
birth
Artificial
Intelligence
non-trivial
inequality
concerning
triangles.
succeeds
proving
all
these
selected
examples,
while
fails
one
case.
Our
thesis
is
that
both
could
used
as
complementary
systems,
natural
language
abilities
certified
computer
algebra
methods
can
cooperate
order
to
obtain
sound
and—more
relevant—interesting
results.
SSRN Electronic Journal,
Год журнала:
2023,
Номер
unknown
Опубликована: Янв. 1, 2023
This
study
aimed
to
examine
an
assumption
regarding
whether
artificial
intelligence
(AI)
tools
can
overcome
the
cognitive
intensity
that
humans
suffer
when
solving
problems.
We
performance
of
ChatGPT
and
GPT-4
on
NAEP
science
assessments
compare
their
students
using
load
framework.
Sixty-five
2019
assessment
tasks
were
coded
by
context
experts
a
two-dimensional
framework,
including
task
complexity
dimensionality.
answered
questions
individually
scored
scoring
keys
provided
NAEP.
The
analysis
available
data
for
this
was
based
average
student
ability
scores
who
each
item
correctly,
as
calculated
Item
Response
Theory,
percentage
responded
accurately
individual
items.
results
showed
both
consistently
outperformed
most
in
assessments.
As
demand
increases,
statistically
higher
are
required
correctly
address
questions.
pattern
observed
Grade
4,
8,
12
respectively.
However,
not
sensitive
increase
demands
tasks,
except
4.
finding
implies
need
changes
educational
objectives
align
with
capabilities
AI
such
GPT-4.
Educational
systems
should
prioritize
nurturing
these
higher-order
abilities,
encouraging
think
critically,
analyze
information,
apply
knowledge
novel
situations.
Furthermore,
findings
suggest
intelligent
enough
provide
feedback
students'
learning
at
K-12
levels.
Eurasia Journal of Mathematics Science and Technology Education,
Год журнала:
2024,
Номер
20(12), С. em2555 - em2555
Опубликована: Дек. 20, 2024
The
following
systematic
review
strives
to
explore
the
mere
integration
of
ChatGPT
within
mathematics
education,
analyzing
its
impact
on
teacher
assistance
and
student
learning.
Google
Scholar
was
utilized
as
primary
database
due
extensive
coverage
academic
articles
journals
in
various
disciplines.
Through
preferred
reporting
items
for
reviews
meta-analysis
(PRISMA)
framework,
thirty-one
studies
are
evaluated
through
thematic
analysis
table.
findings
revealed
that
ChatGPT’s
potential
is
dynamic
versatile
when
it
comes
improving
personalized
learning,
engagement.
Specifically,
suggest
incorporation
offers
diversified
responses,
facilitating
lesson
planning,
support
answering
questions.
Additional
indicate
lead
improvements
learning
motivations
among
students,
however,
does
struggle
answer
complicated
or
difficult
mathematical
questions
which
showcase
limitations
specific
topics
such
spatial
geometry
derivatives.
Journal of Formative Design in Learning,
Год журнала:
2025,
Номер
unknown
Опубликована: Март 6, 2025
Abstract
The
integration
of
generative
artificial
intelligence
(GenAI)
is
increasingly
recognized
for
its
potential
to
enhance
mathematical
learning
and
teaching.
Although
existing
research
on
student
perceptions
using
ChatGPT
in
indicates
a
high
intention
adopt
the
tool,
little
known
about
how
these
influence
students’
actual
use
it
undergraduate-level
mathematics.
In
this
project,
students
participated
semester-long
study
that
included
six
lab
assignments
designed
provide
formative
experience,
where
they
used
deepen
their
understanding
calculus
concepts.
This
case
qualitative
approach,
following
two
participants
among
12
who
had
contrasting
ChatGPT’s
role
learning.
By
conducting
in-depth
analyses
surveys,
assignments,
chat
histories,
aimed
gain
deeper
applied
support
results
showed
strongly
impact
learner
with
positive
engaged
more
frequently
tool
(actual
usage),
demonstrated
greater
tolerance
mathematics
errors
(learner
satisfaction),
motivation
further
uses
(learning
motivation).
usage
pattern
remained
consistent
despite
interventions
implemented
throughout
semester.
concludes
pedagogical
implications
integrating
into
education.
Implications
teaching
directions
future
were
discussed.
