Development of An Intelligent Learning Evaluation System Based on Big Data
Data & Metadata,
Journal Year:
2024,
Volume and Issue:
3
Published: Dec. 18, 2024
The
increasing
need
for
effective
learning
evaluation
in
higher
education
is
driving
the
development
of
big
data-based
systems
to
provide
comprehensive
insights.
This
research
aims
at
developing
an
Intelligent
Learning
Evaluation
System
(ILES)
support
team
teaching
and
monitor
effectiveness
process
through
pre-tests,
post-tests
periodic
evaluations.
system
was
developed
using
Agile
methodology,
including
iterative
stages
requirements
gathering,
design,
development,
testing
implementation.
Codeigniter
used
backend
PostgreSQL
as
database.
enables
dynamic
monitoring
performance
student
outcomes.
finding
showed
that
Real-time
data
visualization
user-friendly
dashboards
improve
decision
making
faculty
administrators.
Testing
shows
increased
engagement
actionable
insights
improvement.
ILES
demonstrates
potential
by
enabling
continuous
improvement
learning.
Future
will
explore
integration
with
broader
institutional
its
scalability
Language: Английский
Developing an integrated internship application for vocational schools: aligning user-centered design with technological innovation to enhance internship experiences
Hendra Sahputra Batubara,
No information about this author
Nizwardi Jalinus,
No information about this author
Fahmi Rizal
No information about this author
et al.
Data & Metadata,
Journal Year:
2024,
Volume and Issue:
4, P. 447 - 447
Published: Oct. 25, 2024
This
research
intends
to
present
an
integrated
vocational
school
internship
application
that
will
improve
internships
through
a
user-cantered
design
approach
and
the
use
of
technology.
The
is
also
expected
help
meet
demands
students
industry
market
where
are
have
practical
experience
in
alignment
with
their
academic
career
interests.
study
involves
both
qualitative
quantitative
data
collection
techniques
such
as
interviews
key
informants
self-developed
questionnaires
administered
educators.
helps
provide
information
regarding
functionality
cater
needs
all
users;
this
includes
matching
job
vacancies,
feedback,
progress
made
process.
focuses
on
possibilities
utilizing
recent
technologies
like
artificial
intelligence
analysis
strategies
delivery
so
it
becomes
more
responsive
individual
student
needs.
Consequently,
demonstrates
applying
user-centred
strategy
technology
improvement
increases
students’
employers’
satisfaction
besides
improving
usability
application.
ensures
better
skills
imparted
schools
workforce
hence
competitiveness
graduates.
Language: Английский
Exploring the Role of Artificial Intelligence in Second Language Acquisition
Advances in educational technologies and instructional design book series,
Journal Year:
2024,
Volume and Issue:
unknown, P. 287 - 312
Published: Aug. 16, 2024
As
technology
advances,
the
integration
of
Artificial
Intelligence
(AI)
in
education
is
prompting
a
paradigm
shift.
This
chapter
explores
AI's
impact
on
English
as
second
language
(ESL)
acquisition,
focusing
its
role
developing
listening,
writing,
reading,
and
speaking
skills
among
students
Portugal.
The
study
highlights
importance
considering
active
participants
shaping
their
learning
environments
ensuring
perspectives
influence
educational
practices.
Data
were
gathered
through
an
online
questionnaire
targeting
secondary
school
from
public
schools
Although
AI
still
emerging
Portuguese
schools,
generally
view
AI-powered
tools
positively
for
both
daily
tasks.
Importantly,
they
do
not
see
compromising
teacher's
role,
recognizing
irreplaceable
value
empathy
human
connection.
calls
further
research
into
students'
perceptions
education.
Language: Английский
Digital Skills and Technology Integration Challenges in Vocational High School Teacher Learning
Data & Metadata,
Journal Year:
2024,
Volume and Issue:
4, P. 553 - 553
Published: Dec. 14, 2024
This
study
evaluates
the
digital
skills,
level
of
technology
integration
in
teaching,
and
challenges
faced
by
vocational
high
school
(SMK)
teachers
Solok
City,
Indonesia.
A
total
105
SMK
participated
this
descriptive-correlational
study,
which
used
a
four-point
Likert
scale
questionnaire
to
assess
these
areas.
The
findings
reveal
that
exhibit
very
competencies,
with
an
average
score
3.42,
especially
literacy,
collaboration,
creativity,
problem-solving.
Technology
teaching
also
shows
level,
3.52,
particularly
multimedia
usage
collaborative
tools.
Despite
positive
results,
key
include
limited
access
technological
devices,
lack
technical
support,
insufficient
learning
resources.
found
no
significant
differences
skills
based
on
age,
but
gender
were
observed,
female
performing
better
certain
domains.
Additionally,
teachers’
are
positively
correlated
their
educational
attainment
participation
training.
suggests
improving
infrastructure,
offering
practice-based
continuous
training,
providing
support
at
essential
for
overcoming
existing
barriers
ensuring
effective
teaching.
These
recommendations
vital
preparing
students
demands
21st-century
workforce
Language: Английский