International Journal of Bank Marketing,
Год журнала:
2025,
Номер
unknown
Опубликована: Март 10, 2025
Purpose
This
study
investigates
the
impact
of
experimentally
priming
a
maximizing
decision-making
style
on
individuals’
likelihood
using
artificial
intelligence
(AI)
advisors
for
making
complex
financial
decisions,
such
as
building
an
investment
portfolio
their
retirement.
It
examines
whether
individuals
with
stronger
tendencies
are
more
likely
to
perceive
algorithms
effective,
thereby
reducing
algorithm
aversion,
and
ultimately
increasing
AI
in
decision-making.
Design/methodology/approach
A
qualitative
pre-study
amongst
differing
learn
about
existing
usage
patterns
decisions
was
combined
quantitative
test
our
hypotheses.
For
both
studies,
US
participants
were
recruited
through
Prolific.
The
data
analyzed
thematic
analysis
NVivo
regression
SPSS
Process
macro.
Findings
results
show
that
primed
mindset
demonstrated
higher
decisions.
effect
serially
mediated
by
perception
enhanced
effectiveness
reduced
aversion.
Practical
implications
provides
actionable
insights
service
providers
banks,
pension
funds
insurance
companies
into
strategies
how
reduce
aversion
encourage
greater
(potential)
clients.
In
particular,
increase
consumers
will
rely
can
induce
these
adjusting
wording
marketing
communications
material.
Originality/value
extends
understanding
influence
advisors.
contributes
literature
highlighting
role
perceived
demonstrating
inducing
decisions;
doing
so
is
important
help
provide
personalized
advice
cost-effective
way.
Scientific Reports,
Год журнала:
2024,
Номер
14(1)
Опубликована: Янв. 23, 2024
Abstract
Artificial
intelligence
models,
like
ChatGPT,
have
the
potential
to
revolutionize
higher
education
when
implemented
properly.
This
study
aimed
investigate
factors
influencing
university
students’
attitudes
and
usage
of
ChatGPT
in
Arab
countries.
The
survey
instrument
“TAME-ChatGPT”
was
administered
2240
participants
from
Iraq,
Kuwait,
Egypt,
Lebanon,
Jordan.
Of
those,
46.8%
heard
52.6%
used
it
before
study.
results
indicated
that
a
positive
attitude
were
determined
by
ease
use,
towards
technology,
social
influence,
perceived
usefulness,
behavioral/cognitive
influences,
low
risks,
anxiety.
Confirmatory
factor
analysis
adequacy
constructs.
Multivariate
demonstrated
significantly
influenced
country
residence,
age,
type,
recent
academic
performance.
validated
as
useful
tool
for
assessing
adoption
among
students.
successful
integration
relies
on
elements,
anxiety,
minimal
risks.
Policies
should
be
tailored
individual
contexts,
considering
variations
student
observed
this
Computers and Education Open,
Год журнала:
2024,
Номер
6, С. 100171 - 100171
Опубликована: Март 13, 2024
Artificial
intelligence
(AI)
education
in
K–12
schools
is
a
global
initiative,
yet
planning
and
executing
AI
challenging.
The
major
frameworks
are
focused
on
identifying
content
technical
knowledge
(AI
literacy).
Most
of
the
current
definitions
literacy
for
non-technical
audience
developed
from
an
engineering
perspective
may
not
be
appropriate
education.
Teacher
perspectives
essential
to
making
sense
this
initiative.
Literacy
about
knowing
(knowledge,
what
skills);
competency
applying
beneficial
way
(confidence,
how
well).
They
strongly
related.
This
study
goes
beyond
literacy),
its
two
main
goals
(i)
define
by
adding
aspects
confidence
self-reflective
mindsets,
(ii)
propose
more
comprehensive
framework
These
needed
emerging
disruptive
technology
(e.g.,
ChatGPT
Sora,
generative
AI).
We
used
basic
curriculum
design
approaches
as
analytical
teacher
perspectives.
Participants
included
30
experienced
teachers
15
middle
schools.
employed
iterative
co-design
cycle
discuss
revise
throughout
four
cycles.
definition
has
five
abilities
that
take
into
account,
proposed
comprises
key
components:
technology,
impact,
ethics,
collaboration,
self-reflection.
also
identify
effective
learning
experiences
foster
confidences,
suggest
future
research
directions:
prompt
engineering,
data
literacy,
algorithmic
mindset,
empirical
research.
International Journal of Human-Computer Interaction,
Год журнала:
2024,
Номер
unknown, С. 1 - 23
Опубликована: Июль 29, 2024
Generative
artificial
intelligence
(GAI)
advancements
have
ignited
new
expectations
for
(AI)-enabled
educational
transformations.
Based
on
the
theory
of
planned
behavior
(TPB),
this
study
combines
structural
equation
modeling
and
interviews
to
analyze
influencing
factors
Chinese
university
students'
GAI
technology
usage
intention.
Regarding
AI
literacy,
cognitive
literacy
in
ethics
scored
highest
(M
=
5.740),
while
awareness
lowest
4.578).
Students'
attitudes
toward
significantly
positively
influenced
their
intention,
with
combined
TPB
framework
explaining
59.3%
variance.
subjective
norms
perceived
behavioral
control,
attitude
mediated
impact
Further,
provide
insights
management
leadership
regarding
construction
an
ecosystem
under
application
technology.
Journal of Chemical Education,
Год журнала:
2024,
Номер
101(6), С. 2475 - 2482
Опубликована: Май 22, 2024
The
rapid
integration
of
generative
artificial
intelligence
(AI)
into
educational
settings
prompts
an
urgent
examination
its
efficacy
and
the
strategies
that
students
employ
to
harness
potential.
This
study
focuses
on
preservice
chemistry
teachers
use
AI
for
chemistry-specific
problem-solving
task
completion.
We
found
there
is
a
prevalent
reliance
copy-pasting
tactics
in
initial
prompting
approaches,
need
guidance
improve
their
abilities.
By
implementing
"Five
S"
framework,
we
explore
evolution
student
resultant
satisfaction
with
AI-generated
responses.
Our
findings
indicate
that,
while
initially
struggle
nuances
effective
prompting,
adoption
structured
frameworks
significantly
enhances
perceived
quality
answers.
research
sheds
light
current
state
among
but
also
underscores
importance
targeted
refine
interaction
academic
contexts.
In
particular,
suggest
critical
engagement
methodological
prompt
engineering
maximize
benefits
technologies.
Computers and Education Open,
Год журнала:
2024,
Номер
6, С. 100177 - 100177
Опубликована: Апрель 10, 2024
Motivated
by
a
holistic
understanding
of
AI
literacy,
this
work
presents
an
interdisciplinary
effort
to
make
literacy
measurable
in
comprehensive
way,
considering
generic
and
domain-specific
as
well
ethics.
While
many
assessment
tools
have
been
developed
the
last
2-3
years,
mostly
form
self-assessment
scales
less
frequently
knowledge-based
assessments,
previous
approaches
only
accounted
for
one
specific
area
competence,
namely
cognitive
aspects
within
literacy.
Considering
demand
development
different
professional
domains
reflecting
on
concept
competence
way
that
goes
beyond
mere
conceptual
knowledge,
there
is
urgent
need
methods
capture
each
three
dimensions
cognition,
behavior,
attitude.
In
addition,
competencies
ethics
are
becoming
more
apparent,
which
further
calls
very
matter.
This
paper
aims
provide
foundation
upon
future
instruments
can
be
built
provides
insights
into
what
framework
item
might
look
like
addresses
both
measures
than
just
knowledge-related
based
approach.
Information,
Год журнала:
2024,
Номер
15(4), С. 205 - 205
Опубликована: Апрель 5, 2024
The
growing
impact
of
artificial
intelligence
(AI)
on
Humanity
is
unavoidable,
and
therefore,
“AI
literacy”
extremely
important.
In
the
field
education—AI
in
education
(AIED)—this
technology
having
a
huge
educational
community
system
itself.
present
study
seeks
to
assess
level
AI
literacy
knowledge
among
teachers
at
Portalegre
Polytechnic
University
(PPU),
aiming
identify
gaps,
find
main
opportunities
for
innovation
development,
seek
degree
relationship
between
dimensions
an
questionnaire,
as
well
identifying
predictive
variables
this
matter.
As
measuring
instrument,
validated
questionnaire
based
three
(AI
Literacy,
Self-Efficacy,
Self-Management)
was
applied
sample
75
various
schools
PPU.
This
revealed
average
(3.28),
highlighting
that
62.4%
responses
are
levels
3
4
(based
Likert
scale
from
1
5).
results
also
demonstrate
first
dimension
highly
significant
total
dimensions,
i.e.,
no
factor
characterizing
predictor,
but
finding
below-average
result
learning
indicates
pressing
need
focus
developing
these
skills.
BMC Medical Education,
Год журнала:
2024,
Номер
24(1)
Опубликована: Апрель 10, 2024
Abstract
Background
Artificial
intelligence
(AI)
is
becoming
increasingly
important
in
healthcare.
It
therefore
crucial
that
today’s
medical
students
have
certain
basic
AI
skills
enable
them
to
use
applications
successfully.
These
are
often
referred
as
“AI
literacy”.
Previous
research
projects
aimed
investigate
students’
literacy
and
attitudes
towards
not
used
reliable
validated
assessment
instruments.
Methods
We
two
self-assessment
scales
measure
(31
Likert-type
items)
(5
at
German
schools.
The
were
distributed
the
through
an
online
questionnaire.
final
sample
consisted
of
a
total
377
students.
conducted
confirmatory
factor
analysis
calculated
internal
consistency
check
whether
sufficiently
be
our
sample.
In
addition,
we
t-tests
determine
group
differences
Pearson’s
Kendall’s
correlation
coefficients
examine
associations
between
individual
variables.
Results
model
fit
satisfactory.
Within
concept
literacy,
found
both
schools
rated
their
technical
understanding
significantly
lower
(
M
MS1
=
2.85
MS2
2.50)
than
ability
critically
appraise
4.99
4.83)
or
practically
4.52
4.32),
which
reveals
discrepancy
skills.
female
overall
male
students,
t
(217.96)
-3.65,
p
<.001.
Students
samples
seemed
more
accepting
fearful
technology,
(745.42)
11.72,
Furthermore,
discovered
strong
positive
weak
negative
attitudes.
Finally,
prior
education
interest
positively
correlated
with
literacy.
Conclusions
Courses
increase
should
focus
on
aspects.
There
also
appears
AI,
considered
when
planning
courses.
Educación,
Год журнала:
2024,
Номер
33(64), С. 29 - 54
Опубликована: Апрель 15, 2024
El
objetivo
de
este
estudio
es
realizar
un
recorrido
analítico
a
través
artículos
científicos
sobre
inteligencia
artificial
(IA)
en
el
contexto
educativo,
localizados
Google
Scholar
y
Science
Direct,
escritos
portugués,
inglés
español
desde
2021
adelante.
En
2022
se
lanzó
ChatGPT,
tecnología
que
forma
parte
del
concepto
denominado
generativa,
creada
mediante
técnicas
aprendizaje
automático.
Este
tipo
herramientas
ha
ganado
espacio
las
instituciones
escolares
sido
objeto
numerosas
discusiones.
A
raíz
ello,
los
gobiernos
muchos
países,
preocupados
por
sus
impactos,
intentan
regular
uso
la
IA.
Entre
resultados
obtenidos
destaca
presencia
estudios
alfabetización
IA,
formación
docente,
necesidad
abordar
temática
interdisciplinariamente
niveles
iniciales,
entre
otros.
Frontiers in Psychology,
Год журнала:
2024,
Номер
15
Опубликована: Июнь 14, 2024
Artificial
Intelligence
(AI)
exerts
significant
influence
on
both
professional
and
personal
spheres,
underscoring
the
necessity
for
college
students
to
have
a
fundamental
understanding
of
AI.
Guided
by
self-determination
theory
(SDT),
this
study
explores
psychological
needs
satisfaction
AI
literacy
among
university
students.
A
cross-sectional
survey
involving
445
from
diverse
academic
backgrounds
was
conducted.
The
assessed
mediation
effect
students’
need
between
two
types
support—technical
teacher—and
literacy.
results
indicate
that
support
positively
influenced
fulfillment
autonomy
competence
needs,
which
subsequently
acted
as
mediators
in
enhancing
However,
relatedness
did
not
mediate
relationship
Unexpectedly,
no
direct
association
found
forms
levels
findings
suggest
although
technical
teacher
contribute
fulfilling
specific
only
are
predictive
lack
impact
underscores
importance
addressing
through
educational
interventions.
It
is
recommended
educators
provide
tailored
education
(AIEd)
institutions
develop
specialized
courses
enhance
