Applied Mathematics and Nonlinear Sciences,
Год журнала:
2023,
Номер
9(1)
Опубликована: Авг. 14, 2023
Abstract
Professional
cluster
construction
is
the
change
of
professional
development
mode
in
context
current
social
development,
and
it
innovation
internal
intensive
management
private
colleges
universities.
This
paper
analyzes
advantages
disadvantages
maximum
expectation
algorithm
big
data
mining,
proposes
to
optimize
parameter
estimation
iteration
by
using
Monte
Carlo
method
for
problem
that
stable
point
EM
does
not
necessarily
reach
global
optimum,
uses
sample
mean
instead
overall
mean,
further
MCEM
acceleration
improve
convergence
speed
iteration.
The
evaluation
score
audit
group
business
process
school
A
3.21,
software
technology
learning
growth
dimension
B
3.45,
Chinese
medicine
developing
core
competitiveness
C
2.87.
comprehensive
industrial
robotics
D
3.33.
mining
based
on
can
precisely
locate
key
factors
universities,
which
reference
significance
sustainable
Education Inquiry,
Год журнала:
2024,
Номер
unknown, С. 1 - 28
Опубликована: Авг. 18, 2024
This
exploratory
paper
contributes
to
the
literature
on
European
Union
(EU)
soft
governance
by
discussing
recent
EU
policy
initiative
"Erasmus+
Teacher
Academies"
as
a
case
of
experimentalist
governance.
Asking
what
makes
this
governance,
demonstrates
how
it
constitutes
an
experiment
in
terms
well
development
teaching
and
learning.
In
particular,
we
identify
discuss
properties
regarding
four
key
tenets
governance:
i)
setting
common
framework
goals
related
Education
Area;
ii)
delegation
responsibility
networks,
comprising
initial
teacher
education
professional
providers,
schools,
government
units,
other
types
organisations,
finding
ways
meet
goals;
iii)
regular
reporting
peer
review,
orchestrated
Commission;
iv)
periodical
re-evaluation
goals,
measures
methods
widening
array
stakeholders.
Considering
conditions
for
governing
training
context,
perspectives
learning
generated
Academies,
"shadow
hierarchy"
potentially
giving
direction
initiative,
ambition
include
profession
policy-making.
Interval Indonesian Journal of Mathematical Education,
Год журнала:
2024,
Номер
2(1), С. 36 - 49
Опубликована: Июнь 25, 2024
Purpose
of
the
study:
The
purpose
this
study
is
to
explore
how
collaborative
professional
development
programs
can
enhance
Pedagogical
Content
Knowledge
(PCK)
mathematics
teachers,
particularly
in
integrating
pedagogy
with
content,
improving
teaching
strategies,
and
addressing
challenges
classroom.
Methodology:
This
uses
a
qualitative
research
design
case
approach.
Data
collection
tools
include
in-depth
interviews,
classroom
observations,
document
analysis.
participants
consist
20
middle
school
teachers.
analysis
conducted
using
thematic
analysis,
focus
on
identifying
patterns
themes
related
PCK.
Main
Findings:
found
that
significantly
improved
teachers'
ability
integrate
implement
innovative
develop
more
structured
lesson
plans.
Additionally,
75%
teachers
reported
increased
student
engagement,
while
60%
faced
time
resource
limitations.
Novelty/Originality
provides
new
insights
into
effectiveness
enhancing
among
It
contributes
existing
knowledge
by
demonstrating
impact
learning
strategies
identifies
key
challenges,
offering
valuable
implications
for
future
teacher
training
programs.
Increasing
measurable
student
achievement
is
a
primary
goal
for
K-12
institutions
worldwide.To
this
end,
Instructional
Leaders
must
be
knowledgeable
concerning
instructional
best
practices,
technology,
and
current
research
in
education.This
paper
examines
professional
development
utilizing
an
accomplished
teaching
model
that
employs
National
Board
Professional
Teaching
Standards
resources
as
the
basis
instruction.Within
context
of
paper,
are
defined
administrators
spend
50%
or
more
their
time
direct
delivery
services
to
following:
teachers,
principals,
and/or
other
educators
administrative
supervisory
positions.
Applied Mathematics and Nonlinear Sciences,
Год журнала:
2023,
Номер
9(1)
Опубликована: Авг. 14, 2023
Abstract
Professional
cluster
construction
is
the
change
of
professional
development
mode
in
context
current
social
development,
and
it
innovation
internal
intensive
management
private
colleges
universities.
This
paper
analyzes
advantages
disadvantages
maximum
expectation
algorithm
big
data
mining,
proposes
to
optimize
parameter
estimation
iteration
by
using
Monte
Carlo
method
for
problem
that
stable
point
EM
does
not
necessarily
reach
global
optimum,
uses
sample
mean
instead
overall
mean,
further
MCEM
acceleration
improve
convergence
speed
iteration.
The
evaluation
score
audit
group
business
process
school
A
3.21,
software
technology
learning
growth
dimension
B
3.45,
Chinese
medicine
developing
core
competitiveness
C
2.87.
comprehensive
industrial
robotics
D
3.33.
mining
based
on
can
precisely
locate
key
factors
universities,
which
reference
significance
sustainable
