A systematic review of AI literacy scales
npj Science of Learning,
Год журнала:
2024,
Номер
9(1)
Опубликована: Авг. 6, 2024
With
the
opportunities
and
challenges
stemming
from
artificial
intelligence
developments
its
integration
into
society,
AI
literacy
becomes
a
key
concern.
Utilizing
quality
instruments
is
crucial
for
understanding
promoting
development.
This
systematic
review
assessed
of
scales
using
COSMIN
tool
aiming
to
aid
researchers
in
choosing
assessment.
identified
22
studies
validating
16
targeting
various
populations
including
general
population,
higher
education
students,
secondary
teachers.
Overall,
demonstrated
good
structural
validity
internal
consistency.
On
other
hand,
only
few
have
been
tested
content
validity,
reliability,
construct
responsiveness.
None
cross-cultural
measurement
error.
Most
did
not
report
any
interpretability
indicators
almost
none
had
raw
data
available.
There
are
3
performance-based
scale
available,
compared
13
self-report
scales.
Язык: Английский
Influence of Self-Efficacy in the Use of Artificial Intelligence (AI) and Anxiety Toward AI Use on AI Dependence Among Peruvian University Students
Data & Metadata,
Год журнала:
2025,
Номер
4, С. 210 - 210
Опубликована: Янв. 12, 2025
Background:
The
advancement
of
artificial
intelligence
(AI)
in
education
has
transformed
the
way
students
interact
with
technological
tools,
creating
new
challenges
related
to
self-efficacy,
anxiety,
and
AI
dependence.
Self-efficacy
refers
one's
confidence
their
ability
use
AI,
while
AI-related
anxiety
pertains
fear
or
concern
when
interacting
these
systems.
These
variables
can
influence
dependence,
affecting
academic
performance
emotional
well-being.
Objective:
This
study
aims
examine
self-efficacy
toward
on
dependence
among
Peruvian
university
students.
Methods:
A
descriptive
cross-sectional
was
conducted
528
aged
18
37
years
(M
=
19.00,
SD
3.84).
Scales
were
used
measure
Correlation
multiple
regression
analyses
applied
identify
predictors
Results:
results
showed
that
positively
correlated
(r
0.43,
p
<
.01)
0.61,
.01).
Anxiety
also
significantly
0.71,
Multiple
analysis
revealed
both
(β
1.131,
.001)
0.610,
predicted
Additionally,
business
administration
exhibited
greater
compared
from
other
fields
1.025,
.05).
Conclusions:
Students
higher
tend
utilize
more
frequently
but
experience
AI.
Educational
interventions
should
focus
reducing
prevent
excessive
especially
Язык: Английский
Adaptation and Psychometric Properties of an Attitude toward Artificial Intelligence Scale (AIAS-4) among Peruvian Nurses
Behavioral Sciences,
Год журнала:
2024,
Номер
14(6), С. 437 - 437
Опубликована: Май 23, 2024
Background:
The
integration
of
Artificial
Intelligence
(AI)
into
various
aspects
daily
life
has
sparked
growing
interest
in
understanding
public
attitudes
toward
this
technology.
Despite
advancements
tools
to
assess
these
perceptions,
there
remains
a
need
for
culturally
adapted
instruments,
particularly
specific
contexts
like
that
Peruvian
nurses.
Objective:
To
evaluate
the
psychometric
properties
AIAS-4
sample
Methods:
An
instrumental
design
was
employed,
recruiting
200
Attitude
Spanish
(AIAS-S),
cultural
and
linguistic
adaptation
AIAS-4,
involved
data
analysis
using
descriptive
statistics,
confirmatory
factor
(CFA),
invariance
tests.
Results:
Confirmatory
Factor
Analysis
(CFA)
confirmed
unidimensional
structure
with
an
excellent
model
fit
(χ2
=
0.410,
df
1,
p
0.522,
CFI
1.00,
TLI
RMSEA
0.00,
SRMR
0.00).
scale
demonstrated
high
internal
consistency
(α
0.94,
ω
0.91).
Tests
from
configural
strict
is
stable
across
different
demographic
subgroups.
Conclusions:
AIAS-S
proved
be
psychometrically
solid
tool
assessing
AI
context
nurses,
providing
evidence
validity,
reliability,
gender
invariance.
This
study
highlights
importance
having
instruments
explore
emerging
technologies
groups.
Язык: Английский
El impacto de la Inteligencia Artificial (IA) en el proceso de enseñanza-aprendizaje de los trabajos en la Universidad
European Public & Social Innovation Review,
Год журнала:
2024,
Номер
9, С. 1 - 17
Опубликована: Окт. 7, 2024
Introducción:
La
inteligencia
artificial
(IA)
puede
ser
utilizada
para
apoyar
la
creación
de
los
trabajos
las
asignaturas.
El
uso
esta
tecnología
va
a
indispensable
vida
profesional
estudiantes
y,
por
lo
tanto,
Universidad
debe
incorporar
herramientas
como
el
ChatGPT
largo
su
formación.
investigación
está
basada
en
IA
resolver
ejercicios
universitarios.
Metodología:
metodología
se
basa
observación
y
análisis
del
que
han
llevado
cabo
un
grupo
ejercicio
universitario
qué
medida
resultado
final
influenciado
propuestas
les
hace.
Resultados:
No
todos
sentido
cómodos
con
resultados
optado
más
o
menos
intensivo
textos
propuestos
esta.
mayoría
personas
basado
fundamentalmente
suspendido
actividad.
Conclusiones:
ayudar
construcción
Universidad,
pero
necesita
estudiante
domine
contenido
solicite
perfeccionar
bastante
propuesta
inicial
IA.