Application of AI in engineering education: A bibliometric study
Review of Education,
Год журнала:
2025,
Номер
13(1)
Опубликована: Фев. 18, 2025
Abstract
The
integration
of
artificial
intelligence
(AI)
into
engineering
education
is
essential
for
fostering
innovation,
strategic
thinking
and
interdisciplinary
skills
in
the
intelligent
era.
On
this
basis,
study
aims
to
track
visually
represent
research
outputs
associated
with
AI
applications
education,
providing
insights
current
landscape
identifying
areas
further
investigation.
analysis
offers
theoretical
methodological
direction
leveraging
education.
Utilising
bibliometric
methods,
we
conducted
a
comprehensive
visualisation
378
core
publications
from
Web
Science
(WoS)
database,
spanning
beginning
twenty‐first
century
present.
Our
findings
show
consistent
rise
publication
volume
2000
2017,
significant
surge
2018
2023.
identifies
International
Journal
Engineering
Education
Computer
Applications
as
pivotal
journals
field.
clusters
around
two
central
themes:
supportive
technologies
specific
educational
applications.
Within
expert
systems,
data
mining,
prediction
machine
learning
are
highlighted
key
areas.
field
has
evolved
through
distinct
phases,
starting
an
early
focus
on
technology
support
moving
emphasis
pedagogical
applications,
currently
striving
balance
between
diverse
practical
Context
implications
Rationale
Research
AI‐enabled
necessary
because
it
vital
measure
cultivating
innovative,
talents
era
intelligence.
article
applies
techniques
visualise
developmental
pulse
use
Why
new
matter
firstly
help
researchers
grasp
development
priorities
fill
gaps,
secondly
provide
guidance
application
visualisation.
Implications
practitioners
summarises
situation
breaks
down
knowledge
map
field,
provides
practitioners,
especially
researchers,
important
references
understand
triggers
continuous
attention
all
sectors
society
In
addition,
school
administrators
will
be
able
guide
practice
teaching
based
study,
frontline
teachers
practise
which
effectively
improve
efficiency
Язык: Английский
Bibliometric Analysis of Natural Language Processing Technology in Education: Hot Topics, Frontier Evolution, and Future Prospects
SAGE Open,
Год журнала:
2025,
Номер
15(1)
Опубликована: Янв. 1, 2025
The
application
of
natural
language
processing
(NLP)
technology
in
the
field
education
has
attracted
considerable
attention.
This
study
takes
716
articles
from
Web
Science
database
1998
to
2023
as
its
research
sample.
Using
bibliometrics
theoretical
foundation,
and
employing
methods
such
literature
review
knowledge
mapping
analysis,
utilizes
tools
like
CiteSpace
generate
relevant
visualizations,
analyzing
key
themes,
frontier
developments,
providing
future
prospects
this
domain.
main
findings
are
follows:
First,
number
publications
been
increasing
annually,
forming
core
publishing
journals
Education
Information
Technology,
teams
led
by
figures
Cucchiarini
Catia
Meurers
Detmar,
countries
including
United
States
China.
Second,
primarily
covers
five
major
themes:
educational
technical
tools,
analysis
development
content,
computational
linguistics
education,
acquisition
learning,
assessment
methods.
Third,
exhibits
certain
developmental
phases,
progressing
through
stages
emergence,
exploration,
development.
Based
on
these
findings,
following
proposed:
at
level,
deeper
personalized
learning
paths,
emotional
monitoring
support,
intelligent
generation
optimization
content;
practical
interdisciplinary
collaboration
innovation,
data
mining
global
perspectives
with
international
cooperation.
Язык: Английский
Empowering music education with technology: a bibliometric perspective
Humanities and Social Sciences Communications,
Год журнала:
2025,
Номер
12(1)
Опубликована: Март 8, 2025
Язык: Английский
Integrating artificial intelligence (AI) in healthcare: advancing older adults’ health management in Saudi Arabia through AI-powered chatbots
PeerJ Computer Science,
Год журнала:
2025,
Номер
11, С. e2773 - e2773
Опубликована: Март 27, 2025
Background
The
healthcare
sector
is
experiencing
rapid
digital
advancements,
with
patients
increasingly
seeking
quick
and
seamless
interactions.
Artificial
intelligence
(AI)-driven
chatbots
are
becoming
an
integral
part
of
elderly
care,
transforming
provider-patient
engagement
supporting
health
behavior
goals
tailored
to
individual
preferences,
needs,
limitations.
Methods
This
study
developed
a
comprehensive
research
framework
incorporating
various
theoretical
perspectives
explore
the
determinants
sustained
use
AI-powered
among
older
adults.
also
examined
mediating
influence
perceived
humanness.
model
was
evaluated
using
partial
least
squares
structural
equation
modeling
(PLS-SEM)
on
cross-sectional
data
collected
from
158
individuals
aged
60
above.
Results
findings
show
that
satisfaction
significantly
influenced
by
facilitating
conditions,
hedonic
motivation,
confirmation,
performance
expectancy,
effort
expectancy.
Perceived
security
plays
critical
role
in
shaping
intention
continue
these
chatbots.
Moreover,
analysis
revealed
humanness
mediates
relationship
between
continuous
intentions
users
Saudi
Arabia.
Discussion
provides
valuable
insights
into
factors
influencing
adults’
acceptance
AI
Arabia,
particularly
post-COVID-19
era.
These
enrich
academic
discourse
offer
actionable
recommendations
for
organizations
adapting
evolving
landscape.
Язык: Английский
Smartphone Adoption and Healthcare Usage Among Older Adults in India
Activities Adaptation & Aging,
Год журнала:
2024,
Номер
unknown, С. 1 - 34
Опубликована: Дек. 16, 2024
The
growing
aging
population
globally
requires
accessible
digital
healthcare
services
to
maintain
a
healthy
lifestyle.
Smartphones
have
the
potential
connect
individuals
with
services.
However,
whether
older
adults
perceive
smartphones
as
convenient
means
of
accessing
these
remains
uncertain.
This
study
aimed
investigate
perspectives
Indian
regarding
smartphone
adoption
and
its
usage
in
For
this,
mixed-methods
approach
combining
quantitative
qualitative
methods
was
employed.
A
total
59
participated
study,
whom
54
completed
survey
questionnaires,
15
engaged
semi-structured
interviews,
10
both
studies.
findings
reveal
that
adopted
for
various
purposes
after
initially
facing
hindrances,
often
assistance
from
family
members.
use
smartphone-based
applications
minimal.
These
suggest
addressing
challenges
face
user
interface
design
will
enhance
their
applications.
Thus,
must
feature
user-friendly
specifically
tailored
adults.
Additionally,
familiar
popular
application-inspired
interfaces,
social
support,
co-designing,
health
awareness,
training
programmes
can
further
promote
among
Язык: Английский