Mathematics and Combinatorial Thinking: How Computational Ability Influences Problem-Solving in Number Patterns?
Khatriya Tiffani,
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Mat Rani Bin Abdul Manaf,
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Riswan Efendi
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et al.
Interval Indonesian Journal of Mathematical Education,
Journal Year:
2025,
Volume and Issue:
3(1), P. 13 - 25
Published: May 2, 2025
Purpose
of
the
study:
This
study
aims
to
analyze
students'
computational
thinking
abilities
in
solving
combinatorial
problems
based
on
high,
medium,
and
low
ability
categories.
Methodology:
uses
a
descriptive
qualitative
approach
with
subjects
33
students
class
VIII
I
State
Islamic
Junior
High
School
2
Bondowoso.
Data
were
collected
through
written
tests,
semi-structured
interviews,
documentation.
analysis
used
Miles
Huberman
model
(reduction,
presentation,
conclusion)
triangulation
techniques
for
validation,
comparing
test
results,
Main
Findings:
Students
high
medium
are
able
meet
all
indicators
thinking,
including
identifying
understanding
problems,
converting
them
into
combinatorics.
Meanwhile,
have
difficulty
re-understanding
found.
Novelty/Originality
this
provides
new
insights
how
level
influences
their
success
as
well
offers
perspectives
developing
more
effective
learning
strategies
enhance
ability.
Language: Английский
Category theory in consciousness science: going beyond the correlational project
Synthese,
Journal Year:
2024,
Volume and Issue:
204(2)
Published: Aug. 5, 2024
Abstract
We
discuss
the
potential
of
applying
category
theory
to
study
consciousness.
first
review
a
recent
proposal
from
neurosciences
consciousness
illustrate
“correlational
project”,
using
integrated
information
as
an
example.
then
some
technical
preliminaries
related
categories
and
in
particular
notion
functor,
which
carries
bulk
conceptual
weight
many
current
discussions.
look
at
possible
payoffs
this
project—getting
grips
with
hard
problem,
integration,
exploiting
explanatory
dualities—and
avenues
for
further
research,
stressing
need
better
develop
categorical
representation
consciousness,
its
phenomenological
structure.
A
understanding
cannot
be
achieved
by
merely
studying
physical
brain.
By
contrast,
treatment
even
suggests
application
beyond
domain
neuroscience,
example
computer
science
artificial
intelligence
while
also
emphasizing
primacy
(phenomenal)
experience.
Language: Английский