Evaluating the Effectiveness of AI Tools in Mathematical Modelling of Various Life Phenomena: A Proposed Approach
Iraqi journal of data science.,
Journal Year:
2025,
Volume and Issue:
2(1), P. 16 - 25
Published: Jan. 30, 2025
Advances
in
artificial
intelligence
(AI)
are
transforming
the
landscape
of
mathematical
modelling
areas
including
physics,
biology,
and
chemistry.
Research
suggests
that
ChatGPT,
Gemini,
other
AI
tools
can
change
way
researchers
use
simulation
modeling
for
complex
phenomena
by
helping
to
produce
models
faster
with
less
computational
complexity
real-time
insights.
Here,
we
introduce
a
novel
framework
building
life
sciences
using
applications
disease
dynamics
ecological
systems.
The
approach
integrates
into
process
hybrid
model
combines
initial
formulations
based
on
AI-assisted
discussions
refinements
expert
validation
AI-generated
output.
To
give
an
example,
if
interested
outbreaks,
platforms
such
as
ChatGPT
or
Gemini
instantly
build
simple
susceptible-infectious-recovered
(SIR)
model.
This
also
helps
high
dataset
processing
making
parameter
suggestions
data,
which
turn
dynamic
adaptation
changing
data
(e.g.
transmission
rates
intervention
strategies).
Likewise,
modelling,
aid
generation
predator-prey
consider
these
interactions,
habitat
fragmentation
reserved
zones
then
suggest
sensitivities
observed
trends.
These
abilities
make
future
AI-based
especially
exciting,
they
will
further
decrease
time
is
traditionally
spent
manually
defining
allow
them
focus
result
interpretation
strategic
decision-making.
With
rapidly
advances
tools,
incorporating
some
new
capabilities
developments
procedure
may
unprecedented
improvements
predictive
performance,
flexibility
interdisciplinary
investigations.
Further
research
real-world
efforts
this
needed
determine
improve
cost-effectiveness
affordability
many
fields
science.
Language: Английский
A mile high and an inch deep: Exploring ChatGPT as a mathematics curriculum development tool
School Science and Mathematics,
Journal Year:
2025,
Volume and Issue:
unknown
Published: Feb. 22, 2025
Abstract
Artificial
Intelligence
(AI)
technology
has
issues,
including
inherent
bias
and
inaccurate
information,
yet
it
not
stifled
individuals'
use
of
this
in
the
mathematics
classroom.
Thus,
we
conducted
a
document
analysis
to
investigate
ChatGPT,
generative
AI
chatbot,
constructing
elementary
mathematical
tasks
determine
how
teacher
educators
(MTEs)
can
support
implementation.
We
analyzed
191
text
responses
constructed
by
each
corresponding
task
created
for
one
Common
Core
standards
from
kindergarten
fifth
Grade
answer
research
questions:
What
are
associated
levels
cognitive
demand
ChatGPT's
responses,
is
there
statistically
significant
difference
between
lower‐level
higher‐level
tasks,
what
common
characteristics
AI's
tasks?
found
significantly
demands
across
but
many
activities
were
repetitive
inappropriate
specified
grade
level.
Finally,
explored
MTEs
could
teachers
using
tool
their
classrooms
Mathematical
Critical
Curation
Questions.
Language: Английский
Besties with bots: GenAI as a lesson plan evaluator for preservice teachers
Journal of Digital Learning in Teacher Education,
Journal Year:
2025,
Volume and Issue:
unknown, P. 1 - 15
Published: March 7, 2025
Language: Английский
Enhancing AI Literacy: A Collaborative Self-Study of Elementary Teacher Educators
Studying Teacher Education,
Journal Year:
2024,
Volume and Issue:
unknown, P. 1 - 21
Published: Dec. 19, 2024
This
self-study
highlights
the
collaborative
journey
of
two
elementary
teacher
educators
from
a
rural
institution
as
they
navigated
integration
Generative
AI
(GenAI)
into
teaching
and
research.
To
grow
their
literacy,
engaged
in
reflective
practices,
discussions,
hands-on
implementation
GenAI
technologies.
Through
this
process,
documented
experiences
with
AI-driven
chatbots,
offering
insights
learnings
concerns.
Their
reflections
underscored
importance
understanding
GenAI's
role
education,
challenges
integrating
tools
effectively,
potential
learning.
The
concluded
that
while
can
augment
human
capabilities,
it
cannot
replace
expertise
due
to
its
limitations.
By
capturing
journey,
study
contributed
growing
discourse
on
literacy
among
educators,
emphasizing
need
for
upskilling
ongoing
professional
development
face
rapidly
evolving
Language: Английский
Exploring the Effectiveness of Advanced Chatbots in Educational Settings: A Mixed-Methods Study in Statistics
Applied Sciences,
Journal Year:
2024,
Volume and Issue:
14(19), P. 8984 - 8984
Published: Oct. 5, 2024
The
Generative
Pre-trained
Transformer
(GPT)
is
a
highly
advanced
natural
language
processing
model.
This
model
can
generate
conversation-style
responses
to
user
input.
rapid
rise
of
GPT
has
transformed
academic
domains,
with
studies
exploring
the
potential
chatbots
in
education.
research
investigates
effectiveness
ChatGPT
3.5,
4.0
by
OpenAI,
and
Chatbot
Bing
Microsoft
solving
statistical
exam-type
problems
educational
setting.
In
addition
quantifying
errors
made
these
chatbots,
this
study
seeks
understand
causes
provide
recommendations.
A
mixed-methods
approach
was
employed
achieve
goal,
including
quantitative
qualitative
analyses
(Grounded
Theory
semi-structured
interviews).
stage
involves
problem-solving
exercises
for
undergraduate
engineering
students,
revealing
error
rates
based
on
reason
error,
fields,
sub-statistics
exercise
types.
analysis
provided
crucial
information
necessary
proceed
study.
employs
interviews
selected
chatbots;
includes
confrontation
between
them
that
generates
agreement,
disagreement,
differing
viewpoints.
On
some
occasions,
tend
maintain
rigid
positions,
lacking
ability
adapt
or
acknowledge
errors.
inflexibility
may
affect
their
effectiveness.
findings
contribute
understanding
integration
AI
tools
education,
offering
insights
future
implementations
emphasizing
need
critical
evaluation
responsible
use.
Language: Английский