International Journal of Research in Business and Social Science (2147-4478),
Год журнала:
2022,
Номер
11(7), С. 276 - 283
Опубликована: Ноя. 6, 2022
The
aim
of
this
paper
was
to
present
reflections
on
the
teaching
physical
science
using
topic
projectile
motion
as
a
launch
pad.
It
focused
model
and
what
Department
Basic
Education
expects
from
subjects.
Furthermore,
it
looked
at
some
challenges
regarding
in
general
particular
topic.
empirical
studies
situate
current
research
interest
articulate
gaps
subject.
concludes
with
recommendations
highlights
need
focus
all
grades
when
subjects,
particularly
than
only
grade
12
stipulated
by
Curriculum
Assessment
Policy
Statement.
team
approach
amongst
curriculum
implementers
subject
teachers
is
also
accentuated,
further
investigations
are
proposed.
Journal of Computer Assisted Learning,
Год журнала:
2025,
Номер
41(1)
Опубликована: Янв. 15, 2025
ABSTRACT
Background
Artificial
intelligence,
particularly
natural
language
processing
(NLP),
enables
automating
the
formative
assessment
of
written
task
solutions
to
provide
adaptive
feedback
automatically.
A
laboratory
study
found
that,
compared
with
static
(an
expert
solution),
automated
through
artificial
neural
networks
enhanced
preservice
teachers'
diagnostic
reasoning
in
a
digital
case‐based
simulation.
However,
effectiveness
simulation
different
types
and
generalizability
field
settings
remained
unclear.
Objectives
We
tested
previous
findings
single
session
either
type
an
experimental
study.
Methods
In
regular
online
courses,
332
teachers
at
five
German
universities
participated
one
three
randomly
assigned
groups:
(1)
group
NLP‐based
feedback,
(2)
(3)
no‐simulation
control
group.
analysed
effect
two
on
participants'
judgement
accuracy
justification
quality.
Results
Conclusions
Compared
significantly
quality
but
not
accuracy.
Only
benefited
learners'
over
group,
while
no
significant
differences
were
found.
Our
experiment
replicated
unlike
seems
enhance
Under
conditions,
learners
require
support
simulations
can
benefit
from
using
networks.
International Journal of Computer-Supported Collaborative Learning,
Год журнала:
2024,
Номер
unknown
Опубликована: Авг. 24, 2024
Abstract
A
key
challenge
in
CSCL
research
is
to
find
ways
support
learners
becoming
effective
collaborators.
While
the
effectiveness
of
external
collaboration
scripts
well
established,
there
a
need
for
into
that
acknowledges
learners’
autonomy
during
collaboration.
In
present
study,
we
compare
an
script
and
reflection
scaffold
control
condition
examine
their
effects
on
knowledge
about
groups’
interaction
quality.
experimental
study
employed
1×
three-factorial
design,
150
university
students
collaborated
groups
three
solve
two
information
pooling
problems.
These
either
received
collaboration,
no
but
before
beginning
collaborate
second
problem,
or
Multilevel
modeling
suggests
gained
more
than
who
guided
by
did
not
receive
any
support.
However,
found
effect
quality
subsequent
Explorative
analyses
suggest
acquired
particularly
those
interactions
are
required
solving
tasks
(e.g.,
sharing
information).
We
discuss
our
findings
contrasting
design
identify
potential
mechanisms
behind
scripting
collaborative
what
extent
these
forms
foster
skills
engagement
productive
interaction.
Large-scale Assessments in Education,
Год журнала:
2023,
Номер
11(1)
Опубликована: Янв. 20, 2023
Abstract
Background
Making
accurate
diagnoses
in
teams
requires
complex
collaborative
diagnostic
reasoning
skills,
which
require
extensive
training.
In
this
study,
we
investigated
broad
content-independent
behavioral
indicators
of
accuracy
and
checked
whether
how
quickly
could
be
predicted
from
these
when
they
were
displayed
a
simulation.
Methods
A
total
73
medical
students
25
physicians
asked
to
diagnose
patient
cases
training
simulation
with
the
help
an
agent-based
radiologist.
Log
files
automatically
coded
for
activities
(CDAs;
i.e.,
evidence
generation,
sharing
eliciting
hypotheses,
drawing
conclusions).
These
codes
transformed
into
bigrams
that
contained
information
about
time
spent
on
transitions
between
CDAs.
Support
vector
machines
linear
kernels,
random
forests,
gradient
boosting
trained
classify
diagnostician
provide
correct
diagnosis
basis
Results
All
algorithms
performed
well
predicting
testing
phases.
Yet,
forest
was
selected
as
final
model
because
its
better
performance
(kappa
=
.40)
phase.
The
success
higher
precision
than
it
failure
(sensitivity
.90;
specificity
.46).
reliable
prediction
possible
after
two
thirds
median
task.
Most
important
certain
individual
activities,
such
generation
(typical
diagnoses),
inaccurate
diagnoses).
Conclusions
This
study
advances
understanding
differences
processes
successful
unsuccessful
diagnosticians.
Taking
generate
at
beginning
task
can
build
initial
adequate
representation
case
prestructures
subsequent
is
crucial
making
diagnoses.
used
adaptive
process-based
feedback
learners
are
right
track.
Moreover,
early
instructional
support
might
diagnosticians
improve
prepare
effective
collaboration.
addition,
ability
identify
even
before
completion
adjust
difficulty
real
time.
Eurasia Journal of Mathematics Science and Technology Education,
Год журнала:
2024,
Номер
20(9), С. em2504 - em2504
Опубликована: Сен. 2, 2024
In
the
complexity
of
Fourth
Industrial
Revolution
era,
importance
creative
thinking
is
increasingly
emphasized
in
context
learning
computing
and
algorithms.
These
skills
are
instrumental
inspiring
innovative
solutions,
addressing
complex
challenges,
fostering
development
advanced
technologies
that
characterize
transformative
landscape
4.0.
This
study
aims
to
determine
effectiveness
generative
model
based
on
cognitive
conflict
improving
(CTS)
outcomes
students
computational
physics
algorithms
&
programming
courses.
research
used
mixed
methods
consisting
pretest-posttest
control
group
design
snowballing
technique.
The
instruments
consist
tests,
psychomotor
affective
CTS
observation
questionnaires,
interviews.
sample
consisted
138
taking
Quantitative
data
were
analyzed
using
multivariate
analysis
variance
qualitative
narrative
analysis.
findings
indicate
this
effectively
improves
students’
outcomes.
Furthermore,
aspect
encourages
be
analyzing
solving
problems.
has
potential
optimize
facing
demands
fourth
industrial
revolution.
