Advances in educational technologies and instructional design book series,
Journal Year:
2024,
Volume and Issue:
unknown, P. 101 - 130
Published: Sept. 27, 2024
This
chapter
explored
the
potential
of
generative
AI
in
context
geoinformatics
training.
Generative
techniques
can
generate
realistic
synthetic
data
to
support
tasks
like
land
cover
classification
and
object
detection.
Moreover,
AI-generated
datasets
help
students
develop
skills
remote
sensing,
GIS,
spatial
analysis
without
limitations
real-world
data.
Interactive
simulations
provide
immersive
learning
for
disaster
management
urban
planning,
despite
requiring
significant
resources.
Additionally,
AI-generated,
diverse
geospatial
analytics
Customizable
examples
improve
outcomes,
while
instructional
content
boost
educational
resource
quality.
The
also
included
demonstration
how
be
used
course
material
preparation
imparting
training
undergraduate
students.
Education Sciences,
Journal Year:
2024,
Volume and Issue:
14(4), P. 433 - 433
Published: April 20, 2024
The
utilization
of
conversational
generative
artificial
intelligence
(Gen
AI)
in
learning
is
often
seen
as
a
double-edged
sword
that
may
lead
to
superficial
learning.
We
designed
and
implemented
programming
course
focusing
on
collaboration
between
students
Gen
AI.
This
study
explores
the
dynamics
such
collaboration,
students’
communication
strategies
with
AI,
perceived
benefits,
challenges
encountered.
Data
were
collected
from
class
observations,
surveys,
final
reports,
dialogues
semi-structured
in-depth
interviews.
results
showed
effective
AI
could
enhance
meta-cognitive
self-regulated
skills
positively
impact
human-to-human
communication.
further
revealed
difficulties
individual
differences
collaborating
complex
tasks.
Overall,
partner,
rather
than
just
tool,
enables
sustainable
independent
learning,
beyond
specific
tasks
at
given
time.
Advances in educational technologies and instructional design book series,
Journal Year:
2025,
Volume and Issue:
unknown, P. 25 - 44
Published: Jan. 17, 2025
This
chapter
explores
the
transformative
impact
of
Artificial
Intelligence
(AI)
on
adult
education,
drawing
foundational
work
Malcolm
Knowles,
who
emphasized
necessity
for
adaptive
and
self-directed
learning
practices.
It
examines
rapid
technological
advancements
since
Knowles'
time,
highlighting
how
modern
AI
technologies,
particularly
Generative
AI,
are
reshaping
landscape
education.
By
aligning
with
andragogical
principles,
educators
can
enhance
experience
while
addressing
potential
challenges
such
as
algorithmic
bias
inequity.
The
is
structured
into
three
sections:
first
AI-based
science
its
congruence
principles;
second
assesses
evolving
nature
andragogy
in
digital
era;
third
projects
future
pathways
integrating
learning,
emphasizing
implications
education
delivery
knowledge
production
BMC Oral Health,
Journal Year:
2025,
Volume and Issue:
25(1)
Published: Feb. 20, 2025
Generative
artificial
intelligence
(GenAI)
has
demonstrated
potential
in
remote
consultations,
yet
its
capacity
to
comprehend
oral
cancer
not
been
fully
evaluated.
The
objective
of
this
study
was
evaluate
the
accuracy,
reliability
and
validity
GenAI
addressing
questions
related
consultations
for
cancer.
A
search
conducted
on
telemedicine
platforms
China,
summarizing
patients'
inquiries
regarding
panel
board-certified
surgeons
compiled
reference
answers
these
questions.
GPT-3.5-turbo
GPT-4o
were
tasked
answer
specific
cancer,
with
their
responses
recorded.
assessed
using
qualitative
quantitative
measures,
including
number
key
points,
text
length,
lexical
density,
a
Likert
scale.
chi-square
test
utilized
detect
differences
data,
while
Kruskal-Wallis
test,
Mann-Whitney
U
t-test
data.
total
34
included,
covering
basic,
etiology,
diagnosis,
intervention,
prognosis.
GPT-3.5-Turbo
an
overall
accuracy
rate
77.50%
analysis,
88.20%.
average
scores
GPT-3.5Turbo
3.96
4.35,
respectively,
statistically
significant
differences.
close
terms
but
significantly
lower
length
density.
marginal
advantage,
although
no
response
observed
between
GPT-4o.
Moreover,
outperformed
validity,
making
it
more
appropriate
consultation
scenarios.
Journal of Innovation & Knowledge,
Journal Year:
2024,
Volume and Issue:
9(3), P. 100531 - 100531
Published: July 1, 2024
This
study
aims
to
identify
generative
AI
(GenAI)
applications
and
develop
a
roadmap
for
the
near,
mid,
far
future.
Structural
topic
modeling
(STM)
is
used
discover
latent
semantic
patterns
key
application
areas
from
text
corpus
comprising
2,398
patents
published
between
2017
2023.
The
identifies
six
topics
of
GenAI
application,
including
object
detection
identification;
medical
applications;
intelligent
conversational
agents;
image
generation
processing;
financial
information
security
cyber-physical
systems.
Emergent
terms
are
listed
each
topic,
inter-topic
correlations
explored
understand
thematic
structures
summarize
relationships
among
areas.
Finally,
technology
developed
identified
area
provides
valuable
insights
into
evolving
landscape
helps
practitioners
make
strategic
business
decisions
based
on
roadmap.
IGI Global eBooks,
Journal Year:
2025,
Volume and Issue:
unknown, P. 413 - 434
Published: Feb. 25, 2025
Startups
often
operate
in
environments
filled
with
uncertainty,
where
the
lack
of
reliable
market
data
and
high
costs
traditional
research
methods
can
severely
limit
their
ability
to
validate
customer
demand.
These
challenges
contribute
failure
rate
early-stage
ventures,
as
many
struggle
achieve
product-market
fit
before
exhausting
financial
resources.
However,
advancements
Artificial
Intelligence
(AI),
particularly
AI-generated
synthetic
large
language
models
(LLMs),
offer
a
transformative
opportunity
for
startups.
technologies
revolutionize
by
enabling
accurate
scalable
demand
validation,
even
limited
data.
This
paper
explores
how
LLMs
help
startups
overcome
limitations
enhance
research,
ultimately
improving
chances
success.
Uluslararası Ekonomi İşletme ve Politika Dergisi,
Journal Year:
2025,
Volume and Issue:
9(1), P. 195 - 210
Published: March 24, 2025
Bu
araştırmanın
amacı
banka
çalışanlarının
yapay
zekâ
genel
tutumları
ile
dönüştürücü
liderlik
tarzı
arasındaki
ilişkiyi
incelemektir.
Çalışmada
Erzurum
ilinde
kamu
ve
özel
bankalarda
çalışan
zekâyı
aktif
kullanan
295
kişinin
katıldığı
anket
verileri
analiz
edilmiştir.
Veriler,
tanımlayıcı
istatistikler,
t-testleri,
ANOVA,
korelasyon,
regresyon,
açımlayıcı
faktör
analizi
doğrulayıcı
analizleri
değerlendirilmiştir.
Elde
edilen
bulgular,
zekâya
yönelik
pozitif
tutum
arasında
anlamlı
bir
ilişki
bulunduğunu
ortaya
koymuştur.
Bunun
yanı
sıra,
tarzının
negatif
üzerinde
etkisi
olmadığı
belirlenmiştir.
çalışma,
bankacılık
sektöründeki
liderlerin,
tarzını
benimseyerek,
teknolojik
değişimlere
uyum
sağlama
konusunda
nasıl
daha
etkili
olabileceklerini
göstermeyi
amaçlamaktadır.
açıdan,
çalışmanın
sektöre
özgü
bakış
açısı
politika
yapıcılarına
tavsiye
niteliğinde
önemli
öneriler
sunduğu
mevcut
literatüre
katkı
sağladığı
söylenebilir.
