Forum Pedagogiczne,
Год журнала:
2024,
Номер
14(2.1), С. 255 - 271
Опубликована: Дек. 31, 2024
Generative
artificial
intelligence
(GAI)
is
emerging
as
a
significant
educational
tool,
reshaping
how
activities
are
designed
and
implemented.
This
article
presents
novel
model
for
GAI
applications
in
education,
identifying
five
core
roles
it
can
assume
school
contexts.
These
include
supporting
teachers
content
creation,
engaging
students
AI-driven
tasks,
facilitating
administrative
duties.
A
study
with
Polish
(N=995)
suggests
that
effective
use
of
demands
appropriate
pedagogical
skills,
such
crafting
prompts
evaluating
AI-generated
content.
Findings
emphasize
the
need
further
research
on
long-term
impacts
AI
particularly
concerning
ethical
social
dimensions.
The
aims
to
demonstrate
thoughtfully
integrated
enhance
traditional
teaching
methods,
contributing
more
innovative
environment.
Studies in Higher Education,
Год журнала:
2024,
Номер
49(5), С. 831 - 846
Опубликована: Март 27, 2024
The
public
release
of
ChatGPT
in
November
2022
brought
excitement
and
concerns
regarding
students'
use
language
models
higher
education.
However,
little
research
has
empirically
investigated
intention
to
adopt
ChatGPT.
This
study
developed
a
theoretical
model
based
on
the
Unified
Theory
Acceptance
Use
Technology
(UTAUT)
with
an
additional
construct-
anxiety,
investigate
university
adoption
two
education
contexts–
UK
Nepal.
239
226
questionnaires
were
deemed
sufficient
for
data
analysis
Nepal
UK,
respectively.
We
utilised
structural
equation
modelling
technique
test
hypotheses.
Our
results
reveal
that
performance
expectancy,
effort
expectancy
social
influence
significantly
impacted
both
countries.
anxiety's
impact
varied
between
UK.
Integrating
UTAUT
cross-country
comparative
approach
provides
insights
into
how
ChatGPT's
reception
diverges
different
contexts.
also
have
implications
technology
companies
aiming
expand
models'
availability
worldwide.
Business Horizons,
Год журнала:
2024,
Номер
67(5), С. 561 - 570
Опубликована: Апрель 24, 2024
This
article
focuses
on
how
recent
advances
in
artificial
intelligence
(AI),
particularly
chatbots
based
large
language
models
(LLMs),
such
as
ChatGPT,
can
be
used
for
innovation
purposes.
The
begins
with
a
brief
overview
of
the
development
and
characteristics
generative
AI
(GenAI).
Elaborating
implications
GenAI,
we
provide
examples
to
demonstrate
four
mechanisms
LLMs:
translation,
summarization,
classification,
amplification.
These
inform
framework
that
highlights
LLMs
enable
creation
innovative
solutions
organizations
through
capacities
two
dimensions:
context
awareness
content
awareness.
strength
lies
combination
both
these
dimensions,
which
enables
them
comprehend
amplify
content.
Four
managerial
suggestions
are
presented,
ranging
from
starting
out
small-scale
projects
data
exploration,
scaling
integration
efforts
educating
prompt
engineers.
By
presenting
framework,
recommendations,
use
cases
various
contexts,
contributes
emerging
literature
GenAI
innovation.
Humanities and Social Sciences Communications,
Год журнала:
2025,
Номер
12(1)
Опубликована: Янв. 6, 2025
This
study
aims
to
understand
how
widely
used
Artificial
Intelligence
(AI)
tools
reflect
the
cultural
context
through
built
environment.
research
explores
outputs
obtained
with
ChatGPT-4o,
Midjourney's
bot
on
Discord
and
Google
Maps
represent
of
Stockholm,
Sweden.
Cultural
is
important
because
it
shapes
people's
identity,
behaviour,
power
dynamics.
AI-generated
recommendations
images
Stockholm's
were
compared
real
photographs,
GIS
demographic
data
socio-economic
information
about
city.
Results
show
written
ChatGPT-4o
mostly
listed
museums
other
venues
popular
among
visitors,
while
represented
cafes,
streets,
furniture,
reflecting
a
heavily
shaped
by
buildings,
consumption
commercial
interests.
shows
sites
also
enabling
users
directly
add
places,
like
opinions,
photographs
main
features
business.
These
AI
perspectives
can
broaden
understanding
urban
environment
facilitate
deeper
insight
into
prevailing
ideas
behind
that
train
these
algorithms.
suggest
generative
systems
analysed
convey
narrow
view
context,
prioritising
buildings
sense
curated,
exhibited
commercialised.
Generative
could
jeopardise
diversity
some
places
as
"cultural",
exacerbating
relationships
even
aggravating
segregation.
Consequently,
public
institutions
should
promote
further
discussion
tools,
help
combine
forms
knowledge.
The
providers
ensure
more
inclusivity
in
training
data,
users'
writing
prompts
disclose
limitations
their
sources.
Despite
current
potential
reduction
have
unique
opportunity
produce
nuanced
outputs,
which
societal
equality.
Review of Evolutionary Political Economy,
Год журнала:
2024,
Номер
unknown
Опубликована: Авг. 1, 2024
Abstract
Artificial
intelligence
(AI)
is
at
the
center
of
economic,
social,
political,
and
ethical
debate.
For
first
time
in
human
history,
since
appearance
writing,
a
new
type
“intelligence”
impacting
very
nature
social
relationships.
New
technologies
are
not
only
changing
operating
model
markets
value
chains
an
accelerated
way
but
also
how
information
generated
processed,
labor,
relations,
culture
evolve,
etc.
In
this
paper,
we
pursue
two
main
goals.
First,
to
set
up
analytical
framework
which
cognitive,
technical,
cultural
dynamics
intertwined
with
processes
deployment
economic
action.
Secondly,
utilize
explore
some
key
features
challenges
AI
its
impact
on
coevolutionary
market,
levels.
We
devote
special
attention
consequences
that
may
have
for
concept
(economic)
rationality
formation
action
plans.
conclude
will
massively
enhance
agents’
spaces
by
improving
efficiency
exploring
possibilities.
However,
change
structure
evolution
system.
