Ensemble-SMOTE: Mitigating Class Imbalance in Graduate on Time Detection
Journal of Informatics and Web Engineering,
Год журнала:
2024,
Номер
3(2), С. 229 - 250
Опубликована: Июнь 13, 2024
In
education,
detecting
students
graduating
on
time
is
difficult
due
to
high
data
complexity.
Researchers
have
employed
various
approaches
in
identifying
on-time
graduation
with
Machine
Learning,
but
it
remains
a
challenging
task
the
class
imbalance
dataset.
This
study
has
aimed
(i)
compare
treatment
methods
different
sampling
ratios,
(ii)
propose
an
ensemble
method
mitigating
problem
of
imbalance,
and
(iii)
develop
evaluate
predictive
models
likelihood
during
their
studies
university.
The
dataset
collected
from
4007
graduates
university
year
2021
2022
41
variables.
After
feature
selection,
were
compared
ratios
ranging
50%
90%.
Moreover,
Ensemble-SMOTE
proposed
aggregate
generated
by
Synthetic
Minority
Oversampling
Technique
variants
effectively.
used
as
input
graduation.
evaluated
based
accuracy,
precision,
recall,
F0.5-score,
F1-score,
F2-score,
Area
under
Curve,
Under
Precision-Recall
Curve.
Based
findings,
Logistic
Regression
outperformed
other
models,
achieving
highest
average
accuracy
(87.24),
recall
(92.50%),
F1-score
(91.30%),
F2-score
(92.02%)
6th
until
10th
trimester.
To
assess
effectiveness
methods,
Friedman
test
performed
determine
significant
difference
between
after
applying
Shapiro-Wilk
normality
test.
Consequently,
ranked
top-performers
lowest
value
rank
performance
metrics.
Additional
research
could
incorporate
examine
more
complicated
when
highly
imbalanced.
Язык: Английский
Perspectives of Visible Learning for Quality Learning Environment: A Case Study
Environment-Behaviour Proceedings Journal,
Год журнала:
2023,
Номер
8(25), С. 79 - 85
Опубликована: Июль 31, 2023
A
quality
learning
environment
calls
for
to
be
visible
both
lecturers
and
students.
This
study
aimed
investigate
the
students'
perspectives
of
Ten
Mindframes
predictor
mindframes
Visible
Learning,
which
significantly
contribute
academic
achievement.
Using
a
mixed-methods
research
approach,
this
involved
416
students
in
undergraduate
programmes.
The
findings
revealed
valued
constructivism
construct
social-emotional
aspects
Learning
mindframes.
results
suggest
that
more
significant
consolidation
effort
is
required
promote
through
teaching
learning.
Язык: Английский
Factors of Pre-University Study in Influencing Graduate on Time
Опубликована: Май 16, 2024
In
education,
identifying
the
important
pre-university
study
factors
poses
a
formidable
challenge,
due
to
necessity
for
human
intervention
in
variable
selection
process.
Determining
enables
educational
institutions
shape
strategic
planning
throughout
student's
entire
academic
journey,
with
specific
focus
on
factors.
Researchers
have
investigated
various
approaches
identify
optimal
features.
One
of
techniques
is
by
leveraging
Artificial
Intelligence.
Therefore,
this
has
attempted
(i)
variables
towards
graduate
time,
and
(ii)
develop
as
well
evaluate
predictive
models
without
identified.
The
dataset
collected
from
university
Malaysia,
containing
4463
student
records
27
variables.
It
consists
profile,
registration
details,
grades
Sijil
Pelajaran
English
Test.
Data
preprocessing
was
performed
remove
those
features
more
than
75%
missing
values
impute
other
median.
Important
identified
applying
Boruta,
BorutaShap.
Among
22
variables,
both
methods
permanent
address
district,
date
birth,
campus,
program
description,
History
subject.
To
influence
several
Machine
Learning
were
constructed
its
simplicity
evaluated
based
accuracy,
precision,
recall,
F1-score,
Area
under
Curve,
findings
showed
that
Gaussian
NB
produced
highest
recall
(95.2%)
when
BorutaShap
used.
Язык: Английский
A Review of Graduate on Time Prediction
International Journal on Advanced Science Engineering and Information Technology,
Год журнала:
2024,
Номер
14(6), С. 1957 - 1966
Опубликована: Дек. 24, 2024
In
education,
predicting
students
who
can
graduate
on
time
is
difficult.
Identifying
the
significant
variables
challenging
to
predict
on-time
graduation
because
human
intervention
in
variable
selection
required
and
time-consuming.
It
essential
allow
educational
institutions
improve
student
learning
experiences
by
focusing
variables.
Researchers
have
applied
various
methods,
such
as
Artificial
Intelligence,
time.
This
review
has
attempted
(i)
summarize
compare
diverse
methods
used
researchers
are
likely
time,
(ii)
identify
gaps
central
issues
existing
literature
related
graduation,
(iii)
establish
future
potential
directions
for
research
contributing
ongoing
discourse
enhancing
outcomes.
Drawing
from
an
extensive
analysis
across
conferences
journals,
a
notable
gap
underscored:
limited
focus
graduating
among
postgraduate
students.
The
addresses
small
amounts
of
data
variables,
although
demonstrated
techniques
timely
including
their
strengths
limitations.
Future
direction
consider
additional
features
performance
predictive
models
conducting
comparative
different
class
treatment
methods.
As
landscape
evolves,
these
considerations
paramount
developing
more
effective
strategies
interventions
ensure
foster
positive
Язык: Английский
Postgraduate Students’ Readiness in Basic Competencies for Sustainable Quality Education
European Proceedings of Educational Sciences,
Год журнала:
2023,
Номер
7, С. 884 - 895
Опубликована: Сен. 22, 2023
Today
the
provision
of
sustainable
quality
education
at
all
levels
requires
acquisition
21st-century
skills
critical
reading,
writing,
numeracy,
media
and
technology
literacy.This
becomes
more
when
pursuing
a
postgraduate
degree
as
one
must
sieve
through
volumes
literature.Studies
have
indicated
that
attrition
failure
students
to
graduate
on
time
become
issues
grave
concern
in
most
countries
including
Malaysia.Scholarly
studies
attributed
this
several
reasons
lack
students'
readiness
for
study
terms
their
basic
competency
required
undertake
empirical
investigations.Therefore,
aim
paper
was
examine
with
focus
academic
writing
research
skills.The
involved
total
110
first-year
private
university
Malaysia.Data
were
collected
via
three-pronged
approach
involving
tests,
questionnaire,
semi-structured
interviews.The
findings
revealed
there
significant
difference
between
perceived
actual
performance
reading
skills.Their
also
left
much
be
desired.These
indicate
assumption
embarking
come
well-equipped
competencies
can
no
longer
ignored.Thus,
it
is
pertinent
initiatives
need
put
place
address
so
provided
level.
Язык: Английский
Enhancing Postgraduate Students’ Reading Skills via the Pedagogy-Andragogy-Heutagogy (PAH) Continuum
Asian Journal of University Education,
Год журнала:
2023,
Номер
19(4), С. 728 - 742
Опубликована: Окт. 31, 2023
Reading
is
often
viewed
as
the
foundation
of
all
learning
including
postgraduate
study.It
common
for
most
institutions
higher
to
assume
that
students
come
equipped
with
basic
competencies
literacy
and
required
academic
reading
skills.Nevertheless,
studies
have
shown
some
international
whom
English
a
foreign
language
(EFL)
face
several
challenges
in
skills.This
study
examined
how
skills
group
can
be
enhanced
through
six-month
treatment
program
referred
PAH
(Pedagogy-Andragogy-Heutagogy)
Continuum
which
emphasized
methodology
shifted
from
full
dependence
negotiated
independence.The
employed
quasiexperimental
research
design
involved
an
intact
50
studying
private
university
Malaysia,
where
medium
instruction.Data
were
collected
pre
post
comprehension
tests,
questionnaires
five
focus
interviews.Quantitative
data
analysed
using
descriptive
inferential
statistics,
whilst
qualitative
thematic
analysis.The
findings
showed
PAH-Continuum
Training
Programme
learners'
gave
them
confidence
do
well
their
studies.The
also
implied
programme
utilized
viable
teaching
framework
help
adult
mature
learners
develop
study.
Язык: Английский