Relevance and Impact of Generative AI in Vocational Instructional Material Design: A Systematic Literature Review
Salud Ciencia y Tecnología,
Год журнала:
2025,
Номер
5, С. 1336 - 1336
Опубликована: Янв. 1, 2025
This
study
examines
the
relevance
and
impact
of
Generative
Artificial
Intelligence
(GenAI)
in
design
instructional
materials
for
vocational
education
through
a
systematic
literature
review
following
PRISMA
guidelines.
The
draws
from
reputable
databases,
including
Scopus,
Web
Science
(WoS),
ERIC,
to
identify
peer-reviewed
articles
published
between
2019
2024.
After
applying
inclusion
exclusion
criteria,
28
eligible
were
analyzed.
findings
highlight
that
GenAI
significantly
enhances
material
by
supporting
personalized
learning,
automating
content
creation,
improving
accessibility.
It
enables
development
adaptive
high-quality
resources
tailored
diverse
learner
needs
education.
Furthermore,
visualizes
research
trends
using
bibliometric
analysis,
providing
insights
into
evolution
distribution
GenAI-related
across
time,
regions,
themes.
However,
challenges
such
as
need
digital
competency
among
educators,
ethical
concerns
regarding
bias
quality,
potential
over-reliance
on
AI
tools
are
identified.
underscores
importance
balancing
AI-driven
innovation
with
human-centered
ensure
effective
sustainable
educational
practices.
Practical
recommendations
include
targeted
professional
programs
frameworks
guide
integration
Язык: Английский
Relevance and Impact of Generative AI in Vocational Instructional Material Design: A Systematic Literature Review
Salud Ciencia y Tecnología,
Год журнала:
2025,
Номер
5, С. 1636 - 1636
Опубликована: Март 4, 2025
This
study
examines
the
relevance
and
impact
of
Generative
Artificial
Intelligence
(GenAI)
in
design
instructional
materials
for
vocational
education
through
a
systematic
literature
review
following
PRISMA
guidelines.
The
draws
from
reputable
databases,
including
Scopus,
Web
Science
(WoS),
ERIC,
to
identify
peer-reviewed
articles
published
between
2019
2024.
After
applying
inclusion
exclusion
criteria,
28
eligible
were
analyzed.
findings
highlight
that
GenAI
significantly
enhances
material
by
supporting
personalized
learning,
automating
content
creation,
improving
accessibility.
It
enables
development
adaptive
high-quality
resources
tailored
diverse
learner
needs
education.
Furthermore,
visualizes
research
trends
using
bibliometric
analysis,
providing
insights
into
evolution
distribution
GenAI-related
across
time,
regions,
themes.
However,
challenges
such
as
need
digital
competency
among
educators,
ethical
concerns
regarding
bias
quality,
potential
over-reliance
on
AI
tools
are
identified.
underscores
importance
balancing
AI-driven
innovation
with
human-centered
ensure
effective
sustainable
educational
practices.
Practical
recommendations
include
targeted
professional
programs
frameworks
guide
integration
Язык: Английский
Development of ethnomathematics-based educational modules for elementary geometry
Advances in Mobile Learning Educational Research,
Год журнала:
2024,
Номер
4(2), С. 1160 - 1172
Опубликована: Ноя. 28, 2024
The
ethnomathematics
module
aims
to
help
students
better
understand
and
appreciate
mathematics
daily
by
combining
mathematical
concepts
with
regional
cultural
backgrounds.
This
research
develop
a
valid
effective
ethnomathematics-based
on
flat
building
materials
for
class
II
SD
N
Depok
2
Sleman
Regency.
is
development
(R&D)
using
the
ADDIE
model.
object
of
this
an
plane
material.
Indonesia
country
that
rich
in
culture
has
excellent
potential
application
ethnomathematics.
Various
ethnic
groups
have
developed
unique
practices
their
activities,
such
as
traditional
buildings
food.
Ethnomathematics
can
be
essential
strengthening
local
through
independent
learning
curriculum.
combines
culture.
Based
results
observations
made,
it
was
concluded
process
at
Regency
still
not
optimal
because,
process,
they
only
used
textbooks
from
government,
which
were
source
during
learning.
subjects
Negeri
Regency,
totalling
28
students,
one
lecturer,
teacher,
who
validators.
data
analysis
techniques
are
qualitative
quantitative
analysis.
show
produced
Ethnomathematics-Based
Module
Flat
Building
Material
Class
II,
feasible
based
expert
validation
score
91%,
student
response
very
average
field
trial
92%.
these
results,
developing
phase
I
curriculum
process.
Язык: Английский
Digital Skills and Technology Integration Challenges in Vocational High School Teacher Learning
Data & Metadata,
Год журнала:
2024,
Номер
4, С. 553 - 553
Опубликована: Дек. 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
Язык: Английский