International Journal of Computational and Applied Mathematics & Computer Science,
Год журнала:
2024,
Номер
4, С. 138 - 145
Опубликована: Дек. 11, 2024
The
text
addresses
a
significant
topic:
the
relationship
between
mathematics
and
artificial
intelligence.
In
particular,
focus
is
on
most
involved
issues
which
tools
can
be
used
to
present
relevant
topics
current
students.
As
an
aid
understanding,
program
in
Python
exemplifies
mathematical
addressed.
Journal of Applied Learning & Teaching,
Год журнала:
2023,
Номер
6(2)
Опубликована: Сен. 26, 2023
As
the
application
of
Artificial
Intelligence
(AI)
continues
to
permeate
various
sectors,
educational
landscape
is
no
exception.
Several
AI
in
education
(AIEd)
applications,
like
chatbots,
present
an
intriguing
array
opportunities
and
challenges.
This
paper
provides
in-depth
exploration
use
role
research,
focusing
on
benefits
(the
good)
potential
pitfalls
bad
ugly)
associated
with
deployment
chatbots
other
AIEDs.
The
explored
include
personalised
learning,
facilitation
administrative
tasks,
enriched
research
capabilities,
provision
a
platform
for
collaboration.
These
advantages
are
balanced
against
downsides,
such
as
job
displacement,
misinformation,
plagiarism,
erosion
human
connection.
Ethical
considerations,
particularly
concerning
data
privacy,
bias
reinforcement,
digital
divide,
also
examined.
Conclusions
drawn
from
this
analysis
stress
importance
striking
balance
between
capabilities
elements
education,
well
developing
comprehensive
ethical
frameworks
contexts.
Publications,
Год журнала:
2024,
Номер
12(1), С. 9 - 9
Опубликована: Март 21, 2024
This
study
delves
into
a
bibliometric
analysis
of
ChatGPT,
an
AI
tool
adept
at
analysing
and
generating
text,
highlighting
its
influence
in
the
realm
social
sciences.
By
harnessing
data
from
Scopus
database,
total
814
relevant
publications
were
selected
scrutinised
through
VOSviewer,
focusing
on
elements
such
as
co-citations,
keywords
international
collaborations.
The
objective
is
to
unearth
prevailing
trends
knowledge
gaps
scholarly
discourse
regarding
ChatGPT’s
application
Concentrating
articles
year
2023,
this
underscores
rapid
evolution
research
domain,
reflecting
ongoing
digital
transformation
society.
presents
broad
thematic
picture
analysed
works,
indicating
diversity
perspectives—from
ethical
technological
sociological—regarding
implementation
ChatGPT
fields
reveals
interest
various
aspects
using
which
may
suggest
certain
openness
educational
sector
adopting
new
technologies
teaching
process.
These
observations
make
contribution
field
sciences,
suggesting
potential
directions
for
future
research,
policy
or
practice,
especially
less
represented
areas
socio-legal
implications
AI,
advocating
multidisciplinary
approach.
European Journal of Education,
Год журнала:
2025,
Номер
60(1)
Опубликована: Янв. 7, 2025
ABSTRACT
Artificial
intelligence
(AI)
has
extensively
developed,
impacting
different
sectors
of
society,
including
higher
education,
and
attracted
the
attention
various
educational
stakeholders,
leading
to
a
growing
number
research
on
its
integration
into
education.
Hence,
this
systematic
literature
review
examines
impact
integrating
AI
tools
in
education
students'
personal
collaborative
learning
environments.
Analysis
148
articles
published
between
2021
2024
indicates
that
Tools
improve
personalised
assessments,
communication
engagement,
scaffolding
performance
motivation.
Additionally,
they
promote
environment
by
providing
peer‐learning
opportunities,
enhanced
learner‐content
interaction
cooperative
support.
Indeed,
strategies
such
as
skills
development,
ethical
use,
academic
integrity
instructional
content
design.
Acknowledged
limitations
include
considerations,
particularly
privacy
bias,
which
require
ongoing
attention.
it
is
recommended
create
good
balance
AI‐mediated
human
environments,
key
area
future
exploration.
International Journal of Artificial Intelligence in Education,
Год журнала:
2024,
Номер
35(1), С. 367 - 397
Опубликована: Май 5, 2024
Abstract
In
this
paper,
we
initially
investigate
the
capabilities
of
GPT-3
5
and
GPT-4
in
solving
college-level
calculus
problems,
an
essential
segment
mathematics
that
remains
under-explored
so
far.
Although
improving
upon
earlier
versions,
attains
approximately
65%
accuracy
for
standard
problems
decreases
to
20%
competition-like
scenarios.
Overall,
models
prove
be
unreliable
due
common
arithmetic
errors.
Our
primary
contribution
lies
then
examining
use
ChatGPT
grading
solutions
exercises.
objectives
are
probe
in-context
learning
task
with
less
emphasis
over
direct
calculations;
recognize
positive
applications
educational
contexts;
highlight
a
potentially
emerging
facet
AI
could
necessitate
oversight;
introduce
unconventional
benchmarks,
which
like
GPT
untrained.
Pertaining
latter,
uncover
tendency
loss
coherence
extended
contexts.
findings
suggest
while
current
exhibits
comprehension
often
provides
relevant
outputs,
consistency
is
marred
by
occasional
hallucinations.
Intriguingly,
GPT-4's
overall
scores,
delivered
mere
moments,
align
closely
human
graders,
although
its
detailed
suboptimal.
This
work
suggests
that,
when
appropriately
orchestrated,
collaboration
between
graders
LLMs
might
combine
their
unique
strengths
mitigating
respective
shortcomings
direction,
it
imperative
consider
implementing
transparency,
fairness,
appropriate
regulations
near
future.
Future Internet,
Год журнала:
2024,
Номер
16(7), С. 219 - 219
Опубликована: Июнь 22, 2024
AI
chatbots
have
emerged
as
powerful
tools
for
providing
text-based
solutions
to
a
wide
range
of
everyday
challenges.
Selecting
the
appropriate
chatbot
is
crucial
optimising
outcomes.
This
paper
presents
comprehensive
comparative
analysis
five
leading
chatbots:
ChatGPT,
Bard,
Llama,
Ernie,
and
Grok.
The
based
on
systematic
review
28
scholarly
articles.
indicates
that
developed
by
OpenAI,
excels
in
educational,
medical,
humanities,
writing
applications
but
struggles
with
real-time
data
accuracy
lacks
open-source
flexibility.
powered
Google,
leverages
internet
problem
solving
shows
potential
competitive
quiz
environments,
albeit
performance
variability
inconsistencies
responses.
an
model
from
Meta,
demonstrates
significant
promise
medical
contexts,
natural
language
processing,
personalised
educational
tools,
yet
it
requires
substantial
computational
resources.
Baidu,
specialises
Chinese
tasks,
thus
localised
advantages
may
not
extend
globally
due
restrictive
policies.
Grok,
Xai
still
its
early
stages,
engaging,
interactions,
humour,
mathematical
reasoning
capabilities,
full
remains
be
evaluated
through
further
development
empirical
testing.
findings
underscore
context-dependent
utility
each
absence
singularly
superior
chatbot.
Future
research
should
expand
include
wider
fields,
explore
practical
applications,
address
concerns
related
privacy,
ethics,
security,
responsible
deployment
these
technologies.
International Electronic Journal of Mathematics Education,
Год журнала:
2025,
Номер
20(2), С. em0823 - em0823
Опубликована: Фев. 19, 2025
Mastering
mathematics
is
often
challenging
for
many
students;
however,
the
rise
of
artificial
intelligence
(AI)
offers
numerous
advantages,
including
enhanced
data
analysis,
automated
feedback,
and
potential
creating
more
interactive
engaging
learning
environments.
Despite
these
benefits,
there
a
need
comprehensive
reviews
that
provide
an
overview
AI's
role
in
education
to
help
educators
identify
best
AI
tools,
inform
researchers
about
current
trends
future
directions.
This
study
conducts
systematic
literature
review
(SLR)
investigate
applications
by
examining
articles
published
reputable
journals
indexed
Web
Science
Scopus.
The
categorizes
tools
into
those
narrowly
addressing
mathematical
problems,
such
as
solving
equations
visualizing
geometry,
offering
broader
pedagogical
support,
adaptive
systems
generative
platforms.
Key
aspects
analyzed
include
distribution
Mathematics
Education
(AIME)
studies
across
different
educational
levels,
types
categories
used,
functionality
commercialized
AIME
available
on
internet,
emerging
directions
based
recent
literature.
insights
from
this
SLR
are
crucial
educators,
policymakers,
researchers,
enabling
them
integrate
effectively
tailor
specific
teaching
strategies
needs.
PLoS ONE,
Год журнала:
2024,
Номер
19(5), С. e0297804 - e0297804
Опубликована: Май 8, 2024
Artificial
Intelligence
(AI)
chatbots
have
emerged
as
powerful
tools
in
modern
academic
endeavors,
presenting
both
opportunities
and
challenges
the
learning
landscape.
They
can
provide
content
information
analysis
across
most
disciplines,
but
significant
differences
exist
terms
of
response
accuracy
for
conclusions
explanations,
well
word
counts.
This
study
explores
four
distinct
AI
chatbots,
GPT-3.5,
GPT-4,
Bard,
LLaMA
2,
quality
explanations
context
university-level
economics.
Leveraging
Bloom’s
taxonomy
cognitive
complexity
a
guiding
framework,
confronts
with
standard
test
understanding
economics,
more
advanced
economics
problems.
The
null
hypothesis
that
all
perform
equally
on
prompts
explore
is
rejected.
results
are
observed
these
exacerbated
economics-related
increased.
These
findings
relevant
to
students
educators;
choose
appropriate
better
understand
concepts
thought
processes,
while
educators
design
their
instruction
assessment
recognizing
support
resources
access
through
chatbot
platforms.