Application of artificial intelligence for feature engineering in education sector and learning science
Chao Wang,
No information about this author
Tao Li,
No information about this author
Zhicui Lu
No information about this author
et al.
Alexandria Engineering Journal,
Journal Year:
2024,
Volume and Issue:
110, P. 108 - 115
Published: Oct. 8, 2024
Language: Английский
Innovative Physics Pedagogy Using Ant Colony Optimization for Wind Power System Methodologies
Natchanun Prainetr,
No information about this author
Supachai Prainetr
No information about this author
Published: Feb. 14, 2025
Language: Английский
Reliability analysis in curriculum development for social science education driven by machine learning
Rui Mao
No information about this author
Alexandria Engineering Journal,
Journal Year:
2025,
Volume and Issue:
121, P. 19 - 26
Published: Feb. 25, 2025
Language: Английский
Predicting Early Employability of Vietnamese Graduates: Insights from Data-Driven Analysis Through Machine Learning Methods
Big Data and Cognitive Computing,
Journal Year:
2025,
Volume and Issue:
9(5), P. 134 - 134
Published: May 19, 2025
Graduate
employability
remains
a
crucial
challenge
for
higher
education
institutions,
especially
in
developing
economies.
This
study
investigates
the
key
academic
and
vocational
factors
influencing
early
employment
outcomes
among
recent
graduates
at
public
university
Vietnam’s
Mekong
Delta
region.
By
leveraging
predictive
analytics,
research
explores
how
data-driven
approaches
can
enhance
career
readiness
strategies.
The
analysis
employed
AI-driven
models,
particularly
classification
regression
trees
(CARTs),
using
dataset
of
610
from
to
predict
employability.
input
included
gender,
field
study,
entrance
scores,
grade
point
average
(GPA)
scores
four
years.
output
factor
was
graduates’
(un)employment
within
six
months
after
graduation.
Among
all
factors,
third-year
GPA,
final-year
performance
are
most
significant
predictors
employment.
tested
CARTs
achieved
highest
accuracy
(93.6%),
offering
interpretable
decision
rules
that
inform
curriculum
design
support
services.
contributes
intersection
artificial
intelligence
by
providing
actionable
insights
universities,
policymakers,
employers,
supporting
alignment
with
labor
market
demands
improving
graduate
outcomes.
Language: Английский
An automated stress detection model based on dual approach of clinical psychologist prediction and machine learning
International Journal of Information Technology,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Sept. 28, 2024
Language: Английский
Research on SVM Analysis Model of Influencing Factors of Employability of Graduates from Higher Vocational Colleges and Universities in Jiangxi Province
K.T. Chen,
No information about this author
Jacquline Tham,
No information about this author
Ali Khatibi
No information about this author
et al.
Applied Mathematics and Nonlinear Sciences,
Journal Year:
2024,
Volume and Issue:
9(1)
Published: Jan. 1, 2024
Abstract
With
the
expansion
of
higher
vocational
colleges
and
universities,
difficulty
employment
graduates
has
become
an
increasingly
serious
problem
in
development
society.
The
reason
for
this
phenomenon,
addition
to
total
pressure,
lies
difference
between
knowledge,
ability,
quality
college
students
needs
employers.
This
paper
crawls
information
data
universities
from
relevant
websites,
combines
text
classification
method
based
on
SVM
analysis
model
mine
system
graduates’
takes
it
as
a
survey
scale.
Then
Jiangxi
Province’s
were
selected
research
object.
After
testing
reliability
validity
scale,
combined
with
independent
samples,
T-test
regression
analysis,
other
mathematical
statistical
methods
explore
factors
affecting
ability
Province.
Among
them,
there
is
no
significant
overall
employability
terms
gender
specialty
category
(P>0.05),
while
having
or
not
work
experience
(P<0.05).
training
objectives
strategies
significantly
contribute
improvement
professional
competence
graduates,
which
key
factor
influence
employability.
Accordingly,
actively
improve
themselves
at
same
time.
Colleges
should
develop
enterprises
give
necessary
career
guidance
timely
manner
countermeasure
suggestions.
Language: Английский