Journal of Computer Assisted Learning,
Год журнала:
2025,
Номер
41(2)
Опубликована: Фев. 22, 2025
ABSTRACT
Background
Computer
programming
learning
and
education
play
a
critical
role
in
preparing
workforce
equipped
with
the
necessary
skills
for
diverse
fields.
ChatGPT
YouTube
are
technologies
that
support
self‐directed
learning.
Objectives
This
study
aims
to
examine
sentiments
primary
topics
discussed
comments
about
ChatGPT's
impact
on
writing
computer
programming.
Methods
The
data
were
collected
from
30
November
2022
11
January
2024,
by
extracting
30,773
57
videos.
Sentiment
analysis,
topic
modelling
thematic
analysis
used
analysis.
Results
Conclusions
Through
sentiment
positive
attitude
among
learners
towards
employing
was
identified.
results
of
revealed
these
recognise
both
perceived
advantages
limitations
using
include
creating
plans,
generating
code,
self‐correction,
explaining
code
saving
time,
while
incorrect
information,
challenges
debugging
programmes,
inefficiency
ineffectiveness
absence
intelligence.
Diverse
perspectives
regarding
professions
discussed.
Some
ethical
concerns
privacy,
copyright
equity
issues
raised
needed
further
exploration.
findings
imply
importance
integrating
into
education.
Guidelines
instructions
needed.
International Journal of Ethics and Systems,
Год журнала:
2024,
Номер
unknown
Опубликована: Сен. 3, 2024
Purpose
The
purpose
of
this
study
is
to
comprehensively
examine
the
ethical
implications
surrounding
generative
artificial
intelligence
(AI).
Design/methodology/approach
Leveraging
a
novel
methodological
approach,
curates
corpus
364
documents
from
Scopus
spanning
2022
2024.
Using
term
frequency-inverse
document
frequency
(TF-IDF)
and
structural
topic
modeling
(STM),
it
quantitatively
dissects
thematic
essence
discourse
in
AI
across
diverse
domains,
including
education,
healthcare,
businesses
scientific
research.
Findings
results
reveal
range
concerns
various
sectors
impacted
by
AI.
In
academia,
primary
focus
on
issues
authenticity
intellectual
property,
highlighting
challenges
AI-generated
content
maintaining
academic
integrity.
healthcare
sector,
emphasis
shifts
medical
decision-making
patient
privacy,
reflecting
about
reliability
security
advice.
also
uncovers
significant
discussions
educational
financial
settings,
demonstrating
broad
impact
societal
professional
practices.
Research
limitations/implications
This
provides
foundation
for
crafting
targeted
guidelines
regulations
AI,
informed
systematic
analysis
using
STM.
It
highlights
need
dynamic
governance
continual
monitoring
AI’s
evolving
landscape,
offering
model
future
research
policymaking
fields.
Originality/value
introduces
unique
combination
TF-IDF
STM
analyze
large
corpus,
new
insights
into
multiple
domains.
Sustainability,
Год журнала:
2025,
Номер
17(3), С. 1127 - 1127
Опубликована: Янв. 30, 2025
Generative
artificial
intelligence
(GenAI)
technologies
based
on
big
language
models
are
becoming
a
transformative
power
that
reshapes
the
future
shape
of
education.
Although
impact
GenAI
education
is
key
issue,
there
little
exploration
challenges
and
response
strategies
sustainability
from
public
perspective.
This
data
mining
study
selected
ChatGPT
as
representative
tool
for
GenAI.
Five
topics
14
modular
semantic
communities
attitudes
towards
using
in
were
identified
through
Latent
Dirichlet
Allocation
(LDA)
topic
modeling
network
community
discovery
process
40,179
user
comments
collected
social
media
platforms.
The
results
indicate
ambivalence
about
whether
technology
empowering
or
disruptive
to
On
one
hand,
recognizes
potential
education,
including
intelligent
tutoring,
role-playing,
personalized
services,
content
creation,
learning,
where
effective
communication
interaction
can
stimulate
users’
creativity.
other
worried
technological
dependence
development
innovative
capabilities,
erosion
traditional
knowledge
production
by
AI-generated
(AIGC),
undermining
educational
equity
cheating,
substitution
students
passing
good
performance
skills
tests.
In
addition,
some
irresponsible
unethical
usage
behaviors
identified,
direct
use
AIGC
pass
similarity
checks.
provides
practical
basis
institutions
re-examine
teaching
learning
approaches,
assessment
strategies,
talent
goals
formulate
policies
AI
promote
vision
sustainable
Journal of Computer Assisted Learning,
Год журнала:
2025,
Номер
41(2)
Опубликована: Фев. 22, 2025
ABSTRACT
Background
Computer
programming
learning
and
education
play
a
critical
role
in
preparing
workforce
equipped
with
the
necessary
skills
for
diverse
fields.
ChatGPT
YouTube
are
technologies
that
support
self‐directed
learning.
Objectives
This
study
aims
to
examine
sentiments
primary
topics
discussed
comments
about
ChatGPT's
impact
on
writing
computer
programming.
Methods
The
data
were
collected
from
30
November
2022
11
January
2024,
by
extracting
30,773
57
videos.
Sentiment
analysis,
topic
modelling
thematic
analysis
used
analysis.
Results
Conclusions
Through
sentiment
positive
attitude
among
learners
towards
employing
was
identified.
results
of
revealed
these
recognise
both
perceived
advantages
limitations
using
include
creating
plans,
generating
code,
self‐correction,
explaining
code
saving
time,
while
incorrect
information,
challenges
debugging
programmes,
inefficiency
ineffectiveness
absence
intelligence.
Diverse
perspectives
regarding
professions
discussed.
Some
ethical
concerns
privacy,
copyright
equity
issues
raised
needed
further
exploration.
findings
imply
importance
integrating
into
education.
Guidelines
instructions
needed.
