Social and Cognitive Predictors of Collaborative Learning in Music Ensembles
International Journal of Computational and Experimental Science and Engineering,
Год журнала:
2025,
Номер
11(1)
Опубликована: Янв. 13, 2025
There
have
been
many
attempts
to
find
ways
make
music
education
more
relevant
and
useful
for
pupils.
Learning
theories,
performance-based
learning,
contract-learning,
discovery-learning,
cooperative
daily
clocking,
stage
practice,
music-focused
required
elective
courses
are
all
part
of
the
implementation
these
methods.
Since
high
vocational
students
tend
lower
GPAs,
it
is
imperative
that
they
discover
strategies
enhance
their
academic
performance.
Reform,
rather
than
relying
on
theoretical
frameworks,
should
be
grounded
practical,
innovative
human
actions.
Both
instructors
pupils
possess
capacity
comprehend
what
learnt,
according
humanistic
perspective.
This
paper
provides
evidence
collaborative
learning
beneficial
first-year
practice
in
a
popular
program
at
Chinese
institution.
The
work
small,
diverse
groups.
Data
was
collected
analyzed
from
over
course
one
year
with
grades
4-6..
Collaboration
powerful
tool
has
applications,
including
but
not
limited
degree
programs,
which
implemented
this
using
machine
techniques.
It
zeroed
down
seven
important
characteristics,
had
obvious
applications
educational
process.
Another
online
could
use
method
predict
students'
performance,
real-time
tracking
progress
risk
dropping
out,
after
adjusted
capture
features
corresponding
different
contexts.
also
applied
other
management
platforms.
Язык: Английский
Technostress among teachers: A systematic literature review and future research agenda
Computers in Human Behavior,
Год журнала:
2025,
Номер
unknown, С. 108619 - 108619
Опубликована: Фев. 1, 2025
Язык: Английский
Validation of measurement scale for technostress in Peruvian university students
Frontiers in Psychology,
Год журнала:
2025,
Номер
16
Опубликована: Март 18, 2025
Stress
has
become
one
of
the
major
health
issues
worldwide,
and
mandatory
integration
technologies
into
educational
environment
exacerbated
this
problem.
This
situation
affects
both
teachers
students,
who
often
lack
necessary
knowledge
to
use
these
tools
effectively,
putting
their
mental
emotional
well-being
at
risk
across
various
areas.
Over
years,
numerous
studies
have
been
conducted
on
technostress
in
workplace
contexts,
analyzing
its
causes
consequences,
as
well
psychometric
evaluations
instruments
related
technological
adaptation.
study
presents
an
instrumental
design
cross-sectional
approach,
with
814
Peruvian
university
students
voluntarily
participating,
consisting
sexes
(451
females;
55%)
aged
between
18
36
years
(M
=
25.2,
SD
5.12).
The
instrument
used
was
Technostress
Questionnaire
for
University
Students
(TS4US),
initially
developed
Chinese
which
underwent
a
cultural
adaptation
process,
expert
judgment,
pilot
testing.
exploratory
factor
analysis
(EFA)
confirmatory
(CFA)
TS4US
versions
revealed
that
11-item
version
maintained
three
original
dimensions,
showing
excellent
fit
indices
CFI
0.982,
TLI
0.975,
RMSEA
0.007,
SRMR
0.02,
along
high
internal
consistency,
Alpha
Omega
coefficients
greater
than
0.86.
These
results
confirm
is
valid
reliable
tool
measuring
students.
Язык: Английский