International Journal of Computer Science and Information Technology,
Год журнала:
2024,
Номер
4(3), С. 400 - 407
Опубликована: Дек. 23, 2024
The
widespread
application
of
generative
artificial
intelligence
technology
in
the
education
sector
has
opened
up
infinite
possibilities
for
educational
innovation.
This
article
analyzes
core
elements,
practical
applications,
and
characteristics
technology,
examines
challenges
faced
by
sector.
These
cover
issues
such
as
instability
AI
algorithms,
complexity
protecting
students'
personal
information,
verifying
authenticity
generated
content,
quality
control.
Corresponding
solutions
have
also
been
proposed,
including
optimizing
algorithms
to
improve
stability
accuracy
model,
strengthening
privacy
protection
measures,
constructing
a
content
evaluation
system
promote
efficient
A
prospect
was
made
on
development
trend
field
its
promotion
Journal of Workplace Learning,
Год журнала:
2025,
Номер
unknown
Опубликована: Янв. 29, 2025
Purpose
The
purpose
of
this
study
was
to
explore
employees’
perceptions
and
firsthand
experiences
the
impact
generative
artificial
intelligence
(AI)
productivity
tools,
specifically
Microsoft
365
Copilot,
on
individual
collective
learning
processes
within
a
multinational
corporation.
In
doing
so,
provides
insights
into
how
these
tools
can
shape
workplace
dynamics,
fostering
both
skill
development
collaborative
knowledge-sharing
practices.
Design/methodology/approach
authors
collected
responses
from
357
participants
through
survey
that
included
multiple-choice
open-ended
questions.
This
focuses
exclusively
qualitative
responses.
reflexive
thematic
analysis
method
used
capture
interpret
role
Copilot
–
AI-powered
assistant
integrated
suite
applications
(e.g.,
Word,
Excel,
PowerPoint,
Outlook,
Teams)
in
enhancing
their
work
opportunities
workplace.
Findings
results
highlight
four
key
themes
contributing
learning.
At
level,
Task
Support
illustrates
extent
which
AI
transform
practices
facilitate
formal
informal
pathways,
while
Meaningful
Work
underscores
tools’
foundational
knowledge
enriched
information.
organisational
culture
suggests
importance
supportive
environment
for
integration,
socialisation
highlights
its
influence
team
cohesion
essential
effective
collaboration
among
members.
Practical
implications
offer
actionable
organisations
integrating
Understanding
inform
design
targeted
training
programmes
promote
foster
sharing.
Furthermore,
positions
as
complementary
resource
improve
employee
engagement,
reduce
resistance
new
technologies
encourage
growth-oriented
mindset,
ultimately
driving
personal
development.
Originality/value
shifts
narrative
around
by
examining
enhance
at
levels,
rather
than
focusing
solely
potential
disrupt
displacement
automation.
By
positioning
AI-based
human
work,
approach
enablers
development,
sharing
job
enrichment,
more
adaptive
learning-oriented
environment.
Applied Sciences,
Год журнала:
2025,
Номер
15(7), С. 3502 - 3502
Опубликована: Март 23, 2025
In
the
product
design
and
manufacturing
process,
effective
management
representation
of
system
requirements
(SRs)
are
crucial
for
ensuring
quality
consistency.
However,
current
methods
hindered
by
document
ambiguity,
weak
requirement
interdependencies,
limited
semantic
expressiveness
in
model-based
systems
engineering.
To
address
these
challenges,
this
paper
proposes
a
prompt-driven
integrated
framework
that
synergizes
large
language
models
(LLMs)
knowledge
graphs
(KGs)
to
automate
visualization
SR
text
structured
extraction.
Specifically,
introduces
template
information
extraction
tailored
arbitrary
documents,
designed
around
five
SysML-defined
categories:
functional
requirements,
interface
performance
physical
constraints.
By
defining
elements
each
category
leveraging
GPT-4
model
extract
key
from
unstructured
texts,
can
effectively
present
information.
Furthermore,
constructs
graph
represent
visually
illustrating
interdependencies
constraints
between
them.
A
case
study
applying
approach
Chapters
18–22
‘Code
Design
Metro’
demonstrates
effectiveness
proposed
method
automating
representation,
enhancing
traceability,
improving
management.
Moreover,
comparison
accuracy
GPT-4,
GPT-3.5-turbo,
BERT,
RoBERTa
using
same
dataset
reveals
achieves
an
overall
84.76%
compared
79.05%
GPT-3.5-turbo
59.05%
both
BERT
RoBERTa.
This
proves
provides
new
technical
pathway
intelligent
Journal of Computer Information Systems,
Год журнала:
2024,
Номер
unknown, С. 1 - 14
Опубликована: Окт. 25, 2024
In
the
evolving
digital
work
environment,
rising
prevalence
of
generative
AI
tools
presents
a
complex
challenge
for
practitioners:
deciding
whether
to
allow
or
restrict
their
use
in
organizational
settings.
Our
research
contributes
expanding
broaden-and-build
theory
and
job
demands-resources
model
(JD-R)
within
context
usage.
This
study
investigates
impact
on
employees'
perceived
overload,
focusing
mediating
role
employee
adaptability.
Utilizing
survey
307
employees
Structural
Equation
Modeling
(SEM)
techniques,
findings
show
that
usage
by
not
only
directly
reduces
overload
but
also
significantly
boosts
adaptability,
further
decreasing
overload.
highlights
dual
benefits
workplace,
offering
valuable
insights
managers
consciously
integrating
these
technologies
enhance
adaptability
reduce
workload
stress.
Malaysian Journal of Learning and Instruction,
Год журнала:
2024,
Номер
21(2), С. 357 - 386
Опубликована: Авг. 15, 2024
Purpose
-
This
study
investigates
how
Digital
Game-based
Learning
(DGBL)
impacts
the
development
of
product
innovation
skills
among
undergraduate
students,
comparing
performance
students
across
different
disciplines—Applied
Arts
(AA)
and
Applied
Sciences
(AS).
Methodology
The
involved
80
students:
40
pursuing
an
AA
degree
AS
degree.
Thedesign
game
incorporated
cognitivist
learning
strategies
based
on
Bloom’s
taxonomy.
Innovation
were
evaluated
through
open-ended
achievement
test.
Findings
revealed
that
DGBL
effectively
enhances
by
integrating
cognitive
strategies,
Bloom’sTaxonomy
into
guided
answers,
tests.
excelled
in
problem
identification
idea
creation,while
emphasised
psychological,
emotional
factors
visualisation
representation.
Significance
findings
suggest
promoting
interdisciplinary
collaboration
educators
policymakers
to
integrate
aesthetics
technological
knowledge.
approach
enables
from
diverse
disciplines
leverage
their
strengths
for
holistic
innovation.
For
practical
applications,
designers
can
model
steps,
offer
track
progress
award
virtual
badges.
test
is
a
valuable
tool
assessing
student
backgrounds.
Future
studies
should
focus
cognitivism
constructivism
collaborative
learning,
using
generative
AIassisted
assessment,
bridging
generation
with
real-world
pitching
voice-input
technologies.
In
conclusion,
this
provides
guidelines
implementing
innovation,
influencing
education,
policy-making,
design
practices.
Advances in computational intelligence and robotics book series,
Год журнала:
2024,
Номер
unknown, С. 267 - 286
Опубликована: Сен. 13, 2024
Generative
Artificial
Intelligence
(GenAI)
has
sparked
significant
transformations
across
various
sectors,
including
machine
learning,
healthcare,
business,
and
entertainment,
due
to
its
remarkable
capability
generate
realistic
data.
Popular
GenAI
tools
like
DALL-E,
RunwayML,
DeepArt,
GANPaint
have
become
increasingly
prevalent
in
everyday
use.
However,
these
advancements
also
present
new
avenues
for
exploitation
by
malicious
entities.
This
comprehensive
survey
meticulously
examines
the
privacy
security
challenges
inherent
GenAI.
It
provides
a
thorough
overview
of
vulnerabilities
associated
with
discusses
potential
applications
cybercrimes,
such
as
automated
hacking,
phishing
attacks,
social
engineering
tactics,
cryptographic
manipulation,
creation
attack
payloads,
malware
development.
The
advent
of
the
"generative
age"
marks
a
pivotal
moment
in
AI
evolution,
with
models
like
OpenAI's
GPT-4
and
DALL-E
transforming
content
creation
across
various
fields.
These
advancements
bring
unprecedented
efficiency
new
applications
but
also
present
challenges,
notably
hallucinations—factually
incorrect
or
nonsensical
outputs
due
to
latent
space
misinterpretations.
This
research
proposes
using
hallucinations
digital
uncanny
improve
archival
access
through
déjà
vu
generator.
system
connects
user
experiences
video
clips,
creating
immersive
installations
that
evoke
familiarity
nostalgia,
thus
archives
into
dynamic,
memory-evoking
interfaces.
International Journal of Computer Science and Information Technology,
Год журнала:
2024,
Номер
4(3), С. 400 - 407
Опубликована: Дек. 23, 2024
The
widespread
application
of
generative
artificial
intelligence
technology
in
the
education
sector
has
opened
up
infinite
possibilities
for
educational
innovation.
This
article
analyzes
core
elements,
practical
applications,
and
characteristics
technology,
examines
challenges
faced
by
sector.
These
cover
issues
such
as
instability
AI
algorithms,
complexity
protecting
students'
personal
information,
verifying
authenticity
generated
content,
quality
control.
Corresponding
solutions
have
also
been
proposed,
including
optimizing
algorithms
to
improve
stability
accuracy
model,
strengthening
privacy
protection
measures,
constructing
a
content
evaluation
system
promote
efficient
A
prospect
was
made
on
development
trend
field
its
promotion
