FORMATION OF ANALYTICAL THINKING THROUGH THE ANALYSIS OF INTERPRETATIONS OF MUSICAL WORKS IN THE PROCESS OF TRAINING A SPECIALIST MUSICIAN
Yegah Müzikoloji Dergisi,
Journal Year:
2025,
Volume and Issue:
8(1), P. 812 - 862
Published: March 19, 2025
The
purpose
of
the
study
was
to
reveal
key
aspects
formation
analytical
thinking
through
analysis
interpretations
musical
works.
In
process
conducting
this
study,
such
methods
as
monitoring
and
surveys
were
used,
well
identification
performers
their
systematization.
As
a
result
processes
forming
based
on
listening
interpretations,
its
components
revealed.
These
are
skills
artistic
perception
music,
system
comprehension
works,
composition,
which
importance
in
context
performers'
thinking.
works
include
focusing
object,
analysing
it
multifaceted
phenomenon,
gaining
knowledge
about
object
whole
individual
elements.
indicators
interpretation
for
students
see
prospects
own
high
taste,
disclosure
stylistic
epochal
features
inherent
work
obtained.
activities
prominent
representatives
art
20th
21st
centuries
discovered.
They
number
means
articulation
phrasing,
approaches
creating
dramatic
plan
composition
sequence
climaxes
nature
dynamic
shades,
operating
with
ranges
registers
principles
sound
production.
Language: Английский
A Study on the Application of Music Information Technology in Enhancing the Interactivity of Teaching and Learning in Music Education
Applied Mathematics and Nonlinear Sciences,
Journal Year:
2025,
Volume and Issue:
10(1)
Published: Jan. 1, 2025
Abstract
The
rapid
development
of
music
information
technology
has
brought
profound
changes
to
the
traditional
teaching
mode.
This
paper
intends
adopt
promote
interactive
education
and
teaching,
apply
through
visualization
method
audio
spectrum
recognition.
An
improved
CQT
recognition
algorithm
is
proposed
optimize
parameters,
implemented
by
using
FFT
reduce
amount
computation.
Facing
noise
phenomenon
in
process
signal
recording,
wavelet
denoising
do
discrete
transform
on
noise-bearing
construct
a
new
threshold
function
suppress
signal.
Combine
recognition,
other
this
with
propose
strategies
such
as
timbre
shaping
vocal
exercises,
carry
out
practice
accordingly.
During
experiment,
number
interactions
between
teachers
students
was
significantly
increased,
high
18
5th
class.
In
practice,
Type
7
behavior
(students’
response
teacher)
11
thinking
connecting)
had
highest
interactions,
reaching
24
20
times
respectively,
indicating
that
curriculum
concept
“student-centeredness”
reflected
experimental
process.
Language: Английский
Research on Diversified Innovative Paths of Vocal Music Teaching in College Music Education Promoted by Information Technology
Applied Mathematics and Nonlinear Sciences,
Journal Year:
2025,
Volume and Issue:
10(1)
Published: Jan. 1, 2025
Abstract
In
order
to
enrich
students’
vocal
learning
resources
and
save
teachers’
human
resources,
this
study
proposes
build
a
new
virtual
teaching
platform
by
combining
reality
technology
with
teaching.
the
system,
feature
algorithm
for
speech
spectrograms
based
on
Log-Gabor
Improved
Local
Binary
Pattern
(ILBP)
is
proposed.
And
multilevel
residual
structure
CNN
introduced
compensate
lost
features
improve
recognition
rate
in
process.
The
results
show
that
application
of
proposed
paper
can
make
mean
value
post-test
scores
students
experimental
class
an
increase
12.91
points
compared
control
class,
difference
between
two
classes
significant
(P=0.000).
interest
music
their
motivation
learn.
Students’
overall
satisfaction
process
information
technology-driven
education
was
92%.
choice
media
91.25%.
Satisfaction
effect
95%.
It
be
seen
VR
classroom
has
been
well
received
both
teachers.
Language: Английский
Fuzzy Neural Network Model for Intelligent Course Development in Music and Dance Education
Lin Zhao,
No information about this author
Ying Sun,
No information about this author
Tian Tian
No information about this author
et al.
International Journal of Computational Intelligence Systems,
Journal Year:
2024,
Volume and Issue:
17(1)
Published: June 6, 2024
Abstract
Interactions
are
mandatory
for
online
or
offline
music
and
dance
education
to
improve
understandability
learning
efficacy.
The
course
designed
such
artistic
incorporates
multi-point
interactions
monotonous
presentations.
validation
of
the
key
factor:
interactivity
is
thus
enhancing
efficiency.
This
article
introduces
an
method
(IVM)
using
combined
fuzzy
neural
network
(FNN)
aid
development.
output
existing
its
evaluation
criteria
considered
in
grade.
performs
interaction
classification
as
trivial
based
on
student’s
performance.
identifies
chances
maximum
performance
by
increasing
decreasing
rate.
If
a
saturated
achieved
at
high
low
interactivity,
then
further
design
performed
factor.
failing
factors
used
training
modifying
rate
from
current
development
suggestion.
Such
process
keen
classifying
validating
impact
over
design.
Language: Английский
Research on online interactive teaching mode of college vocal music based on adaptive Kmeans algorithm
Dong Le
No information about this author
Applied Mathematics and Nonlinear Sciences,
Journal Year:
2024,
Volume and Issue:
9(1)
Published: Jan. 1, 2024
Abstract
In
order
to
improve
the
comprehensive
learning
quality
of
students
when
teaching
university
vocal
music
courses,
teachers
can
create
a
teacher-student
interactive
mode
with
wide
platform,
precise
business,
and
many
approaches
by
carrying
out
teaching.
The
research
introduces
cuckoo
algorithm
for
adaptive
optimization
on
basis
traditional
K-means
algorithm,
gives
clustering
process
constructs
an
online
system
realize
characteristics
behavior
students.
Finally,
we
use
speech
in
classroom
as
example
explore
music.
is
mainly
teacher-driven
mode.
frequency
interaction
low,
proportion
students’
active
questions
2.13%,
teacher
less
likely
organize
exchanges.
this
mode,
encourages
acceptance
16.17%,
75%
higher
than
frequency,
followed
using
close
3:1,
based
feedback
effect
better.
Language: Английский