Journal of risk and financial management,
Год журнала:
2024,
Номер
17(2), С. 54 - 54
Опубликована: Янв. 31, 2024
This
paper
examines
how
the
combination
of
artificial
intelligence
(AI)
and
blockchain
technology
can
enable
autonomous
AI
agents
to
engage
execute
economic
financial
transactions.
We
critically
examine
constraints
on
in
achieving
predefined
objectives
independently,
especially
due
their
limited
access
institutions.
argue
that
AI’s
these
institutions
is
vital
enhancing
its
capabilities
augment
human
productivity.
Drawing
theory
institutional
economics,
we
propose
provides
a
solution
for
creating
digital
institutions,
permitting
with
through
management
private
keys.
extends
form
contracts,
participate
marketplaces,
utilize
services
autonomously.
The
encourages
further
research
as
general-purpose
an
unlock
full
agents.
Sustainability,
Год журнала:
2023,
Номер
15(17), С. 12983 - 12983
Опубликована: Авг. 29, 2023
In
the
ever-evolving
era
of
technological
advancements,
generative
artificial
intelligence
(GAI)
emerges
as
a
transformative
force,
revolutionizing
education.
This
review
paper,
guided
by
PRISMA
framework,
presents
comprehensive
analysis
GAI
in
education,
synthesizing
key
insights
from
selection
207
research
papers
to
identify
gaps
and
future
directions
field.
study
begins
with
content
that
explores
GAI’s
impact
specific
educational
domains,
including
medical
education
engineering
The
versatile
applications
encompass
assessment,
personalized
learning
support,
intelligent
tutoring
systems.
Ethical
considerations,
interdisciplinary
collaboration,
responsible
technology
use
are
highlighted,
emphasizing
need
for
transparent
models
addressing
biases.
Subsequently,
bibliometric
is
conducted,
examining
prominent
AI
tools,
focus,
geographic
distribution,
collaboration.
ChatGPT
dominant
tool,
reveals
significant
exponential
growth
2023.
Moreover,
this
paper
identifies
promising
directions,
such
GAI-enhanced
curriculum
design
longitudinal
studies
tracking
its
long-term
on
outcomes.
These
findings
provide
understanding
potential
reshaping
offer
valuable
researchers,
educators,
policymakers
interested
intersection
Sustainability,
Год журнала:
2023,
Номер
15(18), С. 14025 - 14025
Опубликована: Сен. 21, 2023
In
2023,
the
global
use
of
generative
AI,
particularly
ChatGPT-3.5
and
-4,
witnessed
a
significant
surge,
sparking
discussions
on
its
sustainable
implementation
across
various
domains,
including
education
from
primary
schools
to
universities.
However,
practical
testing
evaluation
in
school
are
still
relatively
unexplored.
This
article
examines
utilization
AI
education.
The
study
involved
110
pupils,
aged
8–14
years
old,
studying
4th–6th
grades
four
classes
two
schools.
Using
laptops,
pupils
participated
test
lessons
where
content,
text,
figures,
exercises
were
generated
modified
using
specifically
ChatGPT-3.5.
results
demonstrated
that
it
was
possible
ChatGPT-3.5,
as
one
example
personify
learning
material
so
would
meet
knowledge
skills
with
different
levels
knowledge.
A
clear
majority
enjoyed
AI-modified
material.
There
is
promising
potential
education,
supporting
pupils’
motivated
development.
these
tools
need
be
developed,
refined
optimized
ensure
proper
adaptation
create
impactful,
inclusive,
benefit
teachers
managers
alike.
RIED Revista Iberoamericana de Educación a Distancia,
Год журнала:
2023,
Номер
27(1), С. 9 - 39
Опубликована: Июль 7, 2023
Cada
vez
es
más
común
interactuar
con
productos
que
parecen
“inteligentes”,
aunque
quizás
la
etiqueta
“inteligencia
artificial”
haya
sido
sustituida
por
otros
eufemismos.
Desde
noviembre
de
2022,
aparición
herramienta
ChatGPT,
ha
habido
un
aumento
exponencial
en
el
uso
inteligencia
artificial
todos
los
ámbitos.
Aunque
ChatGPT
solo
una
las
muchas
tecnologías
generativas
artificial,
su
impacto
procesos
enseñanza
y
aprendizaje
notable.
Este
artículo
reflexiona
sobre
ventajas,
inconvenientes,
potencialidades,
límites
retos
educación,
objetivo
evitar
sesgos
propios
posiciones
extremistas.
Para
ello,
se
llevado
a
cabo
revisión
sistemática
tanto
herramientas
como
producción
científica
surgido
seis
primeros
meses
desde
ChatGPT.
La
generativa
extremadamente
potente
mejora
ritmo
acelerado,
pero
basa
lenguajes
modelo
gran
tamaño
base
probabilística,
lo
significa
no
tienen
capacidad
razonamiento
ni
comprensión
y,
tanto,
son
susceptibles
contener
fallos
necesitan
ser
contrastados.
Por
otro
lado,
muchos
problemas
asociados
estas
contextos
educativos
ya
existían
antes
aparición,
ahora,
debido
potencia,
podemos
ignorarlos
queda
asumir
cuál
será
nuestra
velocidad
respuesta
para
analizar
e
incorporar
práctica
docente.
Advances in higher education and professional development book series,
Год журнала:
2023,
Номер
unknown, С. 133 - 161
Опубликована: Дек. 30, 2023
Generative
artificial
intelligence
(AI)
can
revolutionize
K-12
education
in
India
by
enhancing
curriculums
and
pedagogies.
This
chapter
explores
the
principles
of
generative
AI,
including
adversarial
networks
(GANs),
variational
autoencoders
(VAEs),
natural
language
generation
(NLG),
its
potential
to
create
content
indistinguishable
from
human-generated
materials.
AI
addresses
challenges
like
resource
scarcity,
linguistic
diversity,
personalized
learning
experiences,
while
emphasizing
ethical
considerations,
data
privacy,
bridging
digital
divide.
The
future
will
see
journeys,
inclusivity,
empowered
educators.
A
comprehensive
policy
framework,
infrastructure
support,
teacher
training
are
needed
realize
full
shaping
educational
landscape.
Chan
and
Colloton's
book
is
one
of
the
first
to
provide
a
comprehensive
examination
use
impact
ChatGPT
Generative
AI
(GenAI)
in
higher
education.
Since
November
2022,
every
conversation
education
has
involved
its
on
all
aspects
teaching
learning.
The
explores
necessity
literacy
tailored
professional
contexts,
assess
strengths
weaknesses
incorporating
curriculum
design,
delve
into
transformation
assessment
methods
GenAI
era.
authors
introduce
Six
Assessment
Redesign
Pivotal
Strategies
(SARPS)
an
Integration
Framework,
encouraging
learner-centric
model.
for
well-crafted
educational
policies
explored,
as
well
blueprint
policy
formulation
academic
institutions.
Technical
enthusiasts
are
catered
with
deep
dive
mechanics
behind
GenAI,
from
history
neural
networks
latest
advances
applications
technologies.
With
eye
future
education,
this
will
appeal
educators,
students
scholars
interested
wider
societal
implications
transformative
role
pedagogy
research.
Generative
artificial
intelligence
(GenAI),
exemplified
by
ChatGPT,
Midjourney,
and
other
state-of-the-art
large
language
models
diffusion
models,
holds
significant
potential
for
transforming
education
enhancing
human
productivity.
While
the
prevalence
of
GenAI
in
has
motivated
numerous
research
initiatives,
integrating
these
technologies
within
learning
analytics
(LA)
cycle
their
implications
practical
interventions
remain
underexplored.
This
paper
delves
into
prospective
opportunities
challenges
poses
advancing
LA.
We
present
a
concise
overview
current
landscape
contextualise
its
roles
Clow's
generic
framework
LA
cycle.
posit
that
can
play
pivotal
analysing
unstructured
data,
generating
synthetic
learner
enriching
multimodal
interactions,
interactive
explanatory
analytics,
facilitating
personalisation
adaptive
interventions.
As
lines
blur
between
learners
tools,
renewed
understanding
is
needed.
Future
delve
deep
frameworks
methodologies
advocate
human-AI
collaboration.
The
community
role
capturing
data
about
AI
contributions
exploring
how
they
collaborate
most
effectively.
advances,
it
essential
to
consider
pedagogical
broader
socioeconomic
impact
ensuring
an
inclusive
future.
Abstract
Over
the
last
four
decades,
studies
have
investigated
incorporation
of
Artificial
Intelligence
(AI)
into
education.
A
recent
prominent
AI-powered
technology
that
has
impacted
education
sector
is
ChatGPT.
This
article
provides
a
systematic
review
14
empirical
incorporating
ChatGPT
various
educational
settings,
published
in
2022
and
before
10th
April
2023—the
date
conducting
search
process.
It
carefully
followed
essential
steps
outlined
Preferred
Reporting
Items
for
Systematic
Reviews
Meta-Analyses
(PRISMA
2020)
guidelines,
as
well
Okoli’s
(Okoli
Commun
Assoc
Inf
Syst,
2015)
rigorous
transparent
review.
In
this
review,
we
aimed
to
explore
how
students
teachers
utilized
primary
findings
those
studies.
By
employing
Creswell’s
(Creswell
Educational
research:
planning,
conducting,
evaluating
quantitative
qualitative
research
[Ebook],
Pearson
Education,
London,
coding
techniques
data
extraction
interpretation,
sought
gain
insight
their
initial
attempts
at
approach
also
enabled
us
extract
insights
considerations
can
facilitate
its
effective
responsible
use
future
contexts.
The
results
show
learners
virtual
intelligent
assistant,
where
it
offered
instant
feedback,
on-demand
answers,
explanations
complex
topics.
Additionally,
used
enhance
writing
language
skills
by
generating
ideas,
composing
essays,
summarizing,
translating,
paraphrasing
texts,
or
checking
grammar.
Moreover,
turned
an
aiding
tool
directed
personalized
learning
assisting
understanding
concepts
homework,
providing
structured
plans,
clarifying
assignments
tasks.
However,
specific
(n
=
3,
21.4%)
overuse
may
negatively
impact
innovative
capacities
collaborative
competencies
among
learners.
Educators,
on
other
hand,
create
lesson
generate
quizzes,
provide
additional
resources,
which
helped
them
productivity
efficiency
promote
different
teaching
methodologies.
Despite
these
benefits,
majority
reviewed
recommend
importance
training,
support,
clear
guidelines
both
educators
mitigate
drawbacks.
includes
developing
critical
evaluation
assess
accuracy
relevance
information
provided
ChatGPT,
strategies
integrating
human
interaction
collaboration
activities
involve
AI
tools.
Furthermore,
they
ongoing
proactive
dialogue
with
policymakers,
stakeholders,
practitioners
refine
environments.
could
serve
insightful
resource
who
seek
integrate
stimulate
further
field.
Technovation,
Год журнала:
2024,
Номер
133, С. 103021 - 103021
Опубликована: Апрель 23, 2024
Generative
Artificial
Intelligence
(GenAI)
is
one
of
the
popular
AI
technologies
which
can
produce
multiple
kinds
contents
including
music,
text,
image,
as
well
synthetic
data.
As
GenAI
technology
various
forms
contents,
organizations
must
face
ethical
dilemmas
to
where
this
likely
be
used.
Organizations
do
not
want
compromise
their
standards
and
compliance
policies.
Against
backdrop,
aim
study
examine
if
could
improve
future
performance
organizations.
This
deployed
environmental
dynamism
two
moderators
acting
on
different
linkages
between
adoption
organizational
performance.
With
help
literature
review
theories,
a
theoretical
model
has
been
developed
conceptually
was
validated
using
PLS-SEM
technique
with
feedback
326
responses
from
types
found
that
exploratory
exploitative
innovation
under
moderating
effects
dilemmas.
Moreover,
it
highlighted
application
