Interval Indonesian Journal of Mathematical Education,
Journal Year:
2023,
Volume and Issue:
1(2), P. 83 - 98
Published: Dec. 26, 2023
Purpose
of
the
study:
This
study
aims
to
understand
factors
that
influence
students
in
choosing
a
mathematics
major
using
factor
analysis
method.
Methodology:
Data
were
collected
through
structured
interviews
from
150
at
two
different
universities
stratified
random
sampling
techniques.
Analysis
was
performed
Principal
Component
(PCA)
and
Varimax
rotation
identify
main
dimensions
student
preferences.
Numerical
helped
group
variables
into
relevant
based
on
loading
values
Main
Findings:
Factors
Mathematics
Major
consist
19
which
are
grouped
5
factors,
namely:
first
is
privileges
facilities
with
an
eigenvalue
4.088%,
second
lecture
building
social
2.431%,
third
promotion
1.743%,
fourth
job
1.351%,
fifth
comfort
1.148%.
Novelty/Originality
this
These
findings
provide
new
insights
for
educational
institutions
designing
effective
promotional
strategies
developing
curricula
increase
attractiveness
majors.
The
novelty
lies
application
map
students'
specific
reasons,
has
rarely
been
done
before
context
higher
education.
Abstract
Deep
learning
has
enabled
major
advances
across
most
areas
of
artificial
intelligence
research.
This
remarkable
progress
extends
beyond
mere
engineering
achievements
and
holds
significant
relevance
for
the
philosophy
cognitive
science.
neural
networks
have
made
strides
in
overcoming
limitations
older
connectionist
models
that
once
occupied
center
stage
philosophical
debates
about
cognition.
development
is
directly
relevant
to
long‐standing
theoretical
Furthermore,
ongoing
methodological
challenges
related
comparative
evaluation
deep
stand
benefit
greatly
from
interdisciplinary
collaboration
with
The
time
ripe
philosophers
explore
foundational
issues
cognition;
this
perspective
paper
surveys
key
where
their
contributions
can
be
especially
fruitful.
article
categorized
under:
Philosophy
>
Artificial
Intelligence
Computer
Science
Robotics
Machine
Learning
Nature Communications,
Journal Year:
2024,
Volume and Issue:
15(1)
Published: Dec. 30, 2024
Deep
neural
networks
drive
the
success
of
natural
language
processing.
A
fundamental
property
is
its
compositional
structure,
allowing
humans
to
systematically
produce
forms
for
new
meanings.
For
humans,
languages
with
more
and
transparent
structures
are
typically
easier
learn
than
those
opaque
irregular
structures.
However,
this
learnability
advantage
has
not
yet
been
shown
deep
networks,
limiting
their
use
as
models
human
learning.
Here,
we
directly
test
how
compare
in
learning
generalizing
different
that
vary
degree
structure.
We
evaluate
memorization
generalization
capabilities
a
large
model
recurrent
show
both
exhibit
structured
linguistic
input:
exposed
systematic
generalization,
greater
agreement
between
agents,
similarity
learners.
Interval Indonesian Journal of Mathematical Education,
Journal Year:
2023,
Volume and Issue:
1(2), P. 83 - 98
Published: Dec. 26, 2023
Purpose
of
the
study:
This
study
aims
to
understand
factors
that
influence
students
in
choosing
a
mathematics
major
using
factor
analysis
method.
Methodology:
Data
were
collected
through
structured
interviews
from
150
at
two
different
universities
stratified
random
sampling
techniques.
Analysis
was
performed
Principal
Component
(PCA)
and
Varimax
rotation
identify
main
dimensions
student
preferences.
Numerical
helped
group
variables
into
relevant
based
on
loading
values
Main
Findings:
Factors
Mathematics
Major
consist
19
which
are
grouped
5
factors,
namely:
first
is
privileges
facilities
with
an
eigenvalue
4.088%,
second
lecture
building
social
2.431%,
third
promotion
1.743%,
fourth
job
1.351%,
fifth
comfort
1.148%.
Novelty/Originality
this
These
findings
provide
new
insights
for
educational
institutions
designing
effective
promotional
strategies
developing
curricula
increase
attractiveness
majors.
The
novelty
lies
application
map
students'
specific
reasons,
has
rarely
been
done
before
context
higher
education.
