Advances in human and social aspects of technology book series,
Journal Year:
2024,
Volume and Issue:
unknown, P. 205 - 236
Published: Oct. 4, 2024
The
paper
delves
into
the
profound
impact
of
Artificial
Intelligence
(AI)
on
various
creative
domains,
emphasizing
its
transformative
potential
in
reshaping
human-computer
interaction.
It
explores
AI's
evolution
from
traditional
programming
to
Machine
Learning
(ML),
highlighting
ML's
pivotal
role
facilitating
tasks
traditionally
reserved
for
human
intelligence.
text
elucidates
how
ML
algorithms,
such
as
Generative
Adversarial
Networks
(GANs)
and
Neural
Style
Transfer,
have
revolutionized
artistic
creation
by
enabling
computers
generate
visually
captivating
artworks
autonomously.
Furthermore,
it
discusses
democratizing
effect
AI
art
design,
making
tools
techniques
more
accessible
individuals
diverse
backgrounds.
While
acknowledging
ethical
implications
challenges,
bias
interpretability
concerns,
advocates
interdisciplinary
collaboration
address
these
issues
responsibly.
Technological Sustainability,
Journal Year:
2025,
Volume and Issue:
unknown
Published: May 1, 2025
Purpose
This
study
explores
the
moderated
mediation
roles
of
evolutionary
sense-making
and
pro-environmental
behaviors
between
generative-AI
adoption
sustainable
innovation
among
owner/managers
extractive-based
artisanal
firms
in
Ghana.
Design/methodology/approach
A
stratified
sampling
method
was
used
to
select
391
The
relied
on
regression
test
statistics
measure
conjectured
paths.
Findings
Through
deployment
hierarchical
regression,
found
be
a
positive
predictor
firms.
Further,
moderate
mediated
link
innovation.
Research
limitations/implications
cross-sectional
design
explore
hypothesized
paths
mapped
out
address
research
objectives.
Although
is
effective
helping
assess
thoughts
respondents,
it
restricted
methodologically
reflecting
fluctuations
overtime.
suggests
future
investigations
undertaken
through
longitudinal
surveys.
Originality/value
one
first
use
Industry
5.0
applications
extend
empirical
literature
development
within
extractive
industry
sub-Saharan
Africa.
The Journal of Creative Behavior,
Journal Year:
2025,
Volume and Issue:
59(2)
Published: May 5, 2025
ABSTRACT
With
the
rapid
advancement
of
artificial
intelligence
(AI),
AI
creativity
has
demonstrated
significant
potential
for
application
across
various
fields.
This
study
aims
to
explore
multidimensional
characteristics
from
audience's
perspective
and
develop
a
corresponding
measurement
scale.
Specifically,
Study
1
utilized
open‐ended
interviews
with
audiences
AI‐generated
creative
products
grounded
theory‐based
data
coding
construct
theoretical
framework
perception.
encompasses
four
core
dimensions:
originality,
depth,
credibility,
attractiveness.
In
2,
an
exploratory
factor
analysis
confirmatory
were
conducted
scale
high
reliability
validity
measuring
perception,
providing
empirical
support
framework.
To
further
validate
scale's
criterion‐related
validity,
3
examined
effect
involvement
disclosure
on
The
results
reveal
that
hold
biases
against
AI;
although
is
perceived
have
advantage
in
enhancing
originality
products,
it
viewed
as
less
capable
terms
research
offers
insights
into
future
development
iteration
creativity.
Advances in computational intelligence and robotics book series,
Journal Year:
2025,
Volume and Issue:
unknown, P. 297 - 318
Published: April 25, 2025
In
an
era
marked
by
rapid
technological
advancement,
protecting
the
intellectual
property
(IP)
of
educational
innovations
has
become
more
critical
than
ever.
This
chapter
examines
intersection
innovation,
artificial
intelligence
(AI),
and
IP
protection.
Patents,
which
safeguard
technical
functional
aspects
inventions,
are
crucial
for
these
advancements
amid
disruptions.
As
discussed
in
chapter,
several
challenges
posed
AI
generating
managing
IP,
including
need
to
redefine
inventorship,
address
skill
obsolescence,
ensure
equitable
frameworks.
Despite
importance
addressing
issues
foster
they
remain
underexplored
existing
literature.
Therefore,
this
calls
a
reassessment
legal
procedural
frameworks
adapt
evolving
landscape
sustain
integrity
innovations.
Overall,
aims
contribute
development
robust
strategies
safeguarding
AI-driven
era.
Advances in computational intelligence and robotics book series,
Journal Year:
2025,
Volume and Issue:
unknown, P. 1 - 24
Published: April 25, 2025
As
artificial
intelligence
(AI)
becomes
increasingly
integrated
into
educational
contexts,
they
present
new
challenges
to
traditional
assessment
methods.
A
particularly
pressing
issue
is
academic
dishonesty,
which
undermines
learning
authenticity
and
the
credibility
of
institutions.
With
generative
AI
tools
like
ChatGPT
making
it
easier
for
students
produce
automated
answers,
assessments
are
at
risk
measuring
capabilities
rather
than
students'
actual
knowledge.
Thus,
this
chapter
explores
a
range
strategies
designed
adapt
practices
in
response
influence
education.
These
offer
actionable
frameworks
support
authentic
uphold
integrity.
Additionally,
highlights
future
research
directions
guide
further
adaptation
policies
practices.
Given
rapid
integration
education
sector,
provides
sensible
insights
that
reinforce
importance
integrity-focused
reforms
sustaining
meaningful
outcomes
an
AI-driven
world.
Advances in computational intelligence and robotics book series,
Journal Year:
2025,
Volume and Issue:
unknown, P. 97 - 122
Published: April 25, 2025
As
generative
AI
tools
become
increasingly
integrated
into
educational
practice,
its
use
among
pre-service
teachers
is
often
accompanied
by
hesitation
and
discomfort.
This
chapter
examines
the
phenomenon
of
shaming
teacher
education
students—the
stigma
reluctance
to
disclose
tool
due
perceived
threats
academic
authenticity.
Drawing
on
classroom
insights
student
reflections,
it
explores
how
social
norms,
institutional
pressures,
identity
formation
shape
this
behavior.
These
experiences
reveal
deep
tension
between
embracing
technological
innovation
maintaining
traditional
standards
merit.
The
highlights
implications
for
digital
literacy,
professional
development,
ethical
technology
integration.
It
calls
a
shift
in
narrative,
framing
not
as
shortcut
but
innovation.
Actionable
strategies
educators
institutions
are
proposed
foster
open,
reflective,
supportive
environments
responsible
education.
Advances in computational intelligence and robotics book series,
Journal Year:
2025,
Volume and Issue:
unknown, P. 371 - 398
Published: April 25, 2025
The
integration
of
artificial
intelligence
(AI)
into
engineering
education
has
emerged
as
a
transformative
force,
offering
innovative
tools
to
enhance
teaching,
learning,
and
administrative
processes.
This
study
presents
systematic
review
the
current
landscape,
focusing
on
AI
technologies
application,
regulatory
frameworks,
challenges
encountered
in
education.
findings
reveal
how
can
improve
student
learning
outcomes,
personalize
educational
experiences,
automate
complex
also
addresses
critical
issues,
such
ethical
considerations
imperative
for
compliance.
Furthermore,
it
identifies
key
barriers
adoption,
technological
limitations
preparedness
educators
students
embrace
AI-powered
solutions.
provides
comprehensive
understanding
potential
education,
actionable
insights
educators,
policymakers,
stakeholders
aiming
foster
effective
academic
settings.
Advances in educational technologies and instructional design book series,
Journal Year:
2024,
Volume and Issue:
unknown, P. 1 - 30
Published: Dec. 27, 2024
Online
learning
has
become
fundamental
to
modern
academic
and
professional
development.
Amidst
its
widespread
adoption,
there
is
increasing
integration
of
artificial
intelligence
(AI)
enhance
the
experience.
Understanding
student
engagement
within
these
AI-powered
digital
platforms
crucial,
as
it
directly
influences
outcomes
satisfaction.
This
chapter
provides
a
narrative
review
key
theories
models
essential
for
analyzing
in
virtual
contexts.
Particularly,
focuses
on
constructivist
theory,
social
cognitive
load
flow
technology
acceptance
model,
self-determination
theory
multimedia
learning,
feedback
intervention
theory.
By
examining
frameworks
through
an
epistemological
lens,
explores
how
knowledge
acquisition,
processing,
principles
interact
AI-enhanced
educational
The
insights
reported
here
can
serve
guide
optimizing
AI
maximize
involvement
efficacy.
