The
Chat
Generative
Pre-trained
Transformer
(ChatGPT),
an
artificial
intelligence-based
web
application,
has
demonstrated
substantial
potential
across
various
knowledge
domains,
particularly
in
medicine.
This
cross-sectional
study
assessed
the
validity
and
possible
usefulness
of
ChatGPT-4
assessing
anxiety
depression
by
comparing
two
questionnaires.
tasked
with
generating
a
structured
interview
questionnaire
based
on
validated
Patient
Health
Questionnaire-9
(PHQ-9)
Generalized
Anxiety
Disorder
Scale-7
(GAD-7).
These
new
measures
were
referred
to
as
GPT-PHQ-9
GPT-GAD-7.
utilized
Spearman
correlation
analysis,
Intra-class
coefficients
(ICC),
Youden's
index,
receiver
operating
characteristic
(ROC)
Bland-Altman
plots
evaluate
consistency
between
scores
from
adapted
those
questionnaire.
A
total
200
college
students
participated.
Cronbach's
α
indicated
acceptable
reliability
for
both
(α
=
0.75)
GPT-GAD-7
0.76).
ICC
values
0.80
PHQ-9
0.70
GAD-7.
Spearman's
showed
moderate
associations
(p
0.63)
GAD-7
0.68).
ROC
curve
analysis
revealed
optimal
cutoffs
9.5
depressive
symptoms
6.5
symptoms,
high
sensitivity
specificity.
good
Future
studies
should
investigate
ChatGPT
designed
different
populations.
Journal of University Teaching and Learning Practice,
Год журнала:
2024,
Номер
21(06)
Опубликована: Апрель 19, 2024
Higher
education
is
currently
under
a
significant
transformation
due
to
the
emergence
of
generative
artificial
intelligence
(GenAI)
technologies,
hype
surrounding
GenAI
and
increasing
influence
educational
technology
business
groups
over
tertiary
education.
This
commentary,
prepared
for
Special
Issue
Journal
University
Teaching
&
Learning
Practice
(JUTLP)
on
“Enhancing
student
engagement
using
Artificial
Intelligence
(AI)
chatbots,”
delves
into
complex
landscape
opportunities
threats
that
AI
chatbots,
including
ChatGPT,
introduce
realm
higher
We
argue
while
offers
promise
in
enhancing
pedagogy,
research,
administration,
support,
concerns
around
academic
integrity,
labour
displacement,
embedded
biases,
environmental
sustainability,
increased
commercialisation,
regulatory
gaps
necessitate
critical
approach.
Our
commentary
advocates
development
literacy
among
educators
students,
emphasising
necessity
foster
an
environment
responsible
innovation
informed
use
AI.
posit
successful
integration
must
be
grounded
principles
ethics,
equity,
prioritisation
aims
human
values.
By
offering
nuanced
exploration
these
issues,
our
contribute
ongoing
discourse
how
institutions
can
navigate
rise
GenAI,
ensuring
technological
advancements
benefit
all
stakeholders
upholding
core
Applied Sciences,
Год журнала:
2025,
Номер
15(2), С. 611 - 611
Опубликована: Янв. 10, 2025
To
cope
with
the
complexity,
digital
transformation
of
cyber-physical
and
socio-technology
systems
demands
utilization
heterogeneous
tailorable
development
environments
dynamic
configuring
ability
transparent
integration
independently
developed
dedicated
frameworks.
The
essential
design
principles
component-based
architecting
initial
prototype
hyper-framework
represent
this
research
target.
These
are
derived
from
broad
scope
analysis
projects,
methods,
tools
glued
to
proposed
virtual
twin
hyper-document.
critical
domain
influenced
formulation
five
hypotheses
that
frame
transformation,
as
second
goal
article.
Armed
a
meta-modeling
layer,
incremental
hybrid
architecture
instances
focuses
on
meta-models
their
transformations
into
functional,
interpretable
environments.
applicability
aspects
formulated
hypothesis
verified
throughout
architecture,
meta-configuration,
handling
information
resources
segments
version
evolution
prototype.
detailed
illustration
horizontal
vertical
interoperability
framework
is
illustrated
by
Life
Cycle
Modeling
component
creatively
integrates
System,
Software,
Operation
Engineering
hyper-framework.
capabilities
discussed
in
context
contemporary
ecosystem.
Specification
additional
frameworks,
compliance
specified
generative
mechanisms,
directing
further
refinements
The
recent
surge
of
generative
artificial
intelligence
(AI)
in
higher
education
presents
a
fascinating
landscape
opportunities
and
challenges.
AI
has
the
potential
to
personalize
create
more
engaging
learning
experiences.
However,
effectiveness
interventions
relies
on
well-considered
implementation
strategies.
impact
platforms
is
largely
determined
by
particular
environment
distinct
needs
each
student.
Consequently,
investigating
attitudes
future
educators
towards
this
technology
becoming
critical
area
research.
This
study
explores
students’
performance,
experience,
satisfaction
within
education.
It
specifically
focuses
experiences
with
varying
levels
technological
proficiency.
A
comparative
was
conducted
two
groups
from
different
academic
contexts
undergoing
same
experimental
condition
design,
develop,
implement
instructional
design
projects
using
various
produce
multimedia
content
tailored
their
respective
subjects.
Undergraduates
disciplines—Early
Childhood
Education
(n
=
32)
Computer
Science
34)—participated
study,
which
examined
integration
into
educational
implementation.
Results
indicate
that
both
demonstrated
similar
performance
designing,
developing,
implementing
projects.
Regarding
user
general
outcomes
were
across
groups;
however,
Early
students
rated
usefulness
significantly
higher.
Conversely,
reported
slightly
comfort
level
these
tools.
In
terms
overall
satisfaction,
expressed
greater
software
than
counterparts,
acknowledging
its
importance
for
careers.
contributes
understanding
how
affect
diverse
backgrounds,
bridging
gap
knowledge
experience
outcomes.
Furthermore,
exploring
best
practices
integrating
contexts,
it
provides
valuable
insights
scholars
seeking
optimize
enhance
Educational Technology Research and Development,
Год журнала:
2024,
Номер
unknown
Опубликована: Ноя. 25, 2024
Abstract
The
emergence
of
generative
artificial
intelligence
(GenAI)
has
caused
significant
disruptions
on
a
global
scale
in
various
workplace
settings,
including
the
field
instructional
design
(ID).
Given
paucity
research
investigating
impact
GenAI
ID
work,
we
conducted
mixed
methods
study
to
understand
designers
(IDs)’
perceptions
and
experiences
utilizing
across
spectrum
tasks.
A
total
70
IDs
completed
an
online
survey,
13
them
participated
semi-structured
interviews.
survey
results
indicated
IDs’
familiarity
with
perceived
usability
tools
performing
responsibilities
their
specific
contexts.
Qualitative
findings
further
explained
that
often
utilized
(1)
brainstorming
ideas,
(2)
handling
low-stake
tasks,
(3)
streamlining
process,
(4)
enhancing
collaborations.
Participants
also
expressed
concerns
challenges
while
using
ID,
quality
concerns,
data
security
privacy
over
authorship,
ownership
plagiarism,
amongst
others.
Implications
recommendations
are
discussed
inform
future
practices
research.
Asia-Pacific Journal of Business Administration,
Год журнала:
2024,
Номер
unknown
Опубликована: Ноя. 25, 2024
Purpose
In
this
research,
we
seek
to
understand
the
effects
of
artificial
intelligence
(AI)
and
knowledge
management
(KM)
processes
in
enhancing
proactive
green
innovation
(PGI)
within
oil
gas
organizations.
It
also
aims
investigate
moderator
role
trust
sustainability
these
relationships.
Design/methodology/approach
This
paper
employs
a
quantitative
analysis.
Surveys
have
been
gathered
from
middle-line
managers
twenty-four
government
organizations
evaluate
perceptions
towards
AI,
KM
processes,
trust,
measures
toward
innovation.
Analytical
statistical
tools
that
were
employed
study,
including
structural
equation
modeling
with
SmartPLSv3.9,
used
analyze
data
examine
measurement
models
study.
Findings
The
study
results
reveal
significant
positive
impact
AI
utilization,
PGI
Furthermore,
turn
out
be
viable
moderators
affecting,
influencing
strength
direction
particular,
higher
levels
more
substantial
commitments
enhance
on
outcomes.
Practical
implications
Understanding
KM,
offers
valuable
insights
for
organizational
leaders
policymakers
seeking
promote
industry.
Thus,
can
increase
efficiency
sustainable
product
development,
process
improvement
environmental
by
using
robust
technologies
effective
systems.
fostering
among
stakeholders
embedding
principles
into
culture
amplify
effectiveness
initiatives
driving
Originality/value
extends
current
assessing
effect
while
accounting
as
moderators.
Utilizing
methods
nuanced
understanding
complex
interactions
between
variables,
thereby
advancing
theoretical
fields
management,
behavior.
Additionally,
identification
specific
mechanisms
contextual
factors
enriches
practical
practitioners
striving
dynamics
complexities
an
AI-driven
era.
European Journal of Education,
Год журнала:
2025,
Номер
60(1)
Опубликована: Янв. 27, 2025
ABSTRACT
Due
to
the
frequent
use
of
artificial
intelligence
(AI)
technologies
in
daily
life,
it
is
thought
that
primary
school
students
acquire
information
about
this
concept
from
various
sources.
The
way
these
sources
present
AI
may
affect
students'
perceptions
AI.
In
study,
was
aimed
examine
third
and
fourth
grade
through
metaphors
drawings.
This
research,
which
conducted
with
participation
262
students,
phenomenological
design.
When
participants
were
analysed,
determined
they
produced
100
metaphors,
evaluated
17
categories
as
humanistic
feature,
source,
danger,
development,
superhuman
service,
source
happiness,
productivity,
orientation,
commitment,
pervasiveness,
necessity,
security,
speed,
difficulty,
virtual
environment
uncertainty.
Accordingly,
many
different
perspectives
most
danger.
It
human,
brain
living
prominent
human
characteristic
category;
teacher,
wise
book
finally,
enemy,
weapon
monster
danger
category.
drawing
findings
37
codes
represented
four
categories:
purpose,
object,
interaction
environment.
purpose
category,
information,
happiness;
object
mostly
humanoid
robot;
emphasising
interaction;
not
specified.
line
obtained,
literature
discussions
made
suggestions
made.
