Frontiers in Education,
Год журнала:
2025,
Номер
10
Опубликована: Фев. 3, 2025
The
effective
integration
of
Generative
Artificial
Intelligence
(GenAI)
into
educational
practices
holds
promise
for
enhancing
teaching
and
learning
processes.
Examining
faculty
acceptance
use
GenAI
implementation
can
provide
valuable
insights
the
conditions
necessary
its
successful
application.
This
study
consisted
a
survey
to
measure
in
practice
208
members
at
private
university
Mexico.
instrument
used
integrates
elements
Technology
Acceptance
Model
(TAM)
Theory
Reasoned
Action
(TRA).
original
questionnaire
was
translated
Spanish
validated
by
experts
ensure
reliability
validity
new
context.
Overall,
dimensions
obtained
middle-high
results.
Behavioral
intention
highest
values
whereas
Subjective
norm
lowest
values.
Significant
differences
regarding
disciplines
sociodemographics
were
not
identified.
Also,
is
positively
moderate
correlated
with
produce
text.
identified
level
among
toward
environments
leads
expect
promising
future
practices.
In
addition,
further
research
on
student
impact
training
settings
are
encouraged.
Education Sciences,
Год журнала:
2025,
Номер
15(2), С. 174 - 174
Опубликована: Фев. 2, 2025
The
emergence
of
generative
artificial
intelligence
(Gen
AI)
in
education
offers
both
opportunities
and
challenges,
particularly
the
context
student
assessment.
This
study
examines
faculty
members’
motivations
to
redesign
assessments
for
their
courses
Gen
AI
era
introduces
a
framework
this
purpose.
A
qualitative
methodology
was
employed,
gathering
data
through
semi-structured
interviews
focus
groups,
along
with
examples
redesigned
assessments.
Sixty-one
members
participated
study,
were
analyzed
using
deductive
inductive
thematic
approaches.
Key
redesigning
included
maintaining
academic
integrity,
preparing
learners
future
careers,
adapting
technological
advancements,
aligning
institutional
policies.
However,
also
highlighted
significant
such
as
need
professional
development
addressing
equity
accessibility
concerns.
findings
identified
various
innovative
assessment
approaches
tailored
requirements
era.
Based
on
these
insights,
developed
conceptual
titled
“Against,
Avoid,
Adopt,
Explore”.
Future
research
is
needed
validate
further
refine
its
application
educational
contexts.
Educators
are
increasingly
concerned
about
the
usage
of
Large
Language
Models
(LLMs)
such
as
ChatGPT
in
programming
education,
particularly
regarding
potential
exploitation
imperfections
Artificial
Intelligence
Generated
Content
(AIGC)
Detectors
for
academic
misconduct.
Education and Information Technologies,
Год журнала:
2024,
Номер
29(15), С. 20181 - 20200
Опубликована: Апрель 13, 2024
Abstract
ChatGPT
has
surprised
academia
with
its
remarkable
abilities
but
also
raised
substantial
concerns
regarding
academic
integrity
and
misconduct.
Despite
the
debate,
empirical
research
exploring
issue
is
limited.
The
purpose
of
this
study
to
bridge
gap
by
analyzing
Twitter
data
understand
how
perceiving
ChatGPT.
A
total
9733
tweets
were
collected
through
Python
via
API
in
three
consecutive
weeks
May
June
2023;
3000
most
relevant
ones
analyzed
Atlas
ti.
23.
Our
findings
reveal
a
generally
supportive
attitude
towards
using
academia,
absence
clear
policies
regulations
requires
attention.
Discussions
primarily
focus
on
integrity,
learning
effectiveness,
teaching
efficiency.
Tweets
from
influencers
over
one
million
followers
separately.
significance
these
limitations
are
included.
Artificial intelligence,
Год журнала:
2024,
Номер
unknown
Опубликована: Май 20, 2024
Generative
artificial
intelligence
(AI)
(GenAI)
has
emerged
as
a
transformative
force
in
various
fields,
and
its
potential
impact
on
education
is
particularly
profound.
This
chapter
presents
the
development
trends
of
“GenAI
Education”
by
exploring
technical
background,
diverse
applications,
multifaceted
challenges
associated
with
adoption
education.
The
briefly
introduces
background
GenAI,
large
language
models
(LLMs)
such
ChatGPT
&
Co.
It
provides
key
concepts,
models,
recent
technological
advances.
then
navigates
through
applications
GenAI
or
LLMs
education,
examining
their
different
levels
including
school,
university,
vocational
training.
will
highlight
how
reshaping
educational
landscape
real-world
examples
case
studies,
from
personalized
learning
experiences
to
content
creation
assessment.
also
discusses
technical,
ethical,
organizational/educational
using
technology
The
arrival
of
Generative
Artificial
Intelligence
(AI)
is
fundamentally
different
from
prior
technologies
used
in
educational
settings.
Educators
and
researchers
online,
blended,
in-person
learning
are
still
coming
to
grips
with
possible
applications
AI
the
experience
existing
technologies;
let
alone
understanding
potential
consequences
that
future
developments
will
produce.
Despite
risks,
may
revolutionize
previous
models
teaching
perhaps
create
opportunities
realize
progressive
goals.
Given
longstanding
tradition
philosophy
examine
questions
surrounding
ethics,
ontology,
technology,
education,
purpose
this
critical
reflection
paper
draw
prominent
philosophers
across
these
disciplines
address
question:
how
can
be
employed
contexts
a
humanizing
ethical
manner?
Drawing
work
Gunther
Anders,
Michel
Foucault,
Paolo
Freire,
Benjamin
Bloom,
Hannah
Arendt,
we
propose
framework
for
assessing
use
ethics
modern
education
regarding
human
versus
generated
textual
multimodal
content,
broader
political,
social,
cultural
implications.
We
conclude
applied
examples
implications
research
practice.
Bilgi ve İletişim Teknolojileri Dergisi,
Год журнала:
2024,
Номер
6(1), С. 24 - 35
Опубликована: Июнь 29, 2024
Bu
araştırmada,
lise,
ön
lisans
ve
öğrencilerinin
yapay
zeka
okuryazarlık
düzeyleriyle
ilgili
mevcut
durumun
incelenmesi
düzeyi
ile
bazı
demografik
değişkenler
(cinsiyet,
öğrenim
durumu
günlük
ortalama
bilgisayar/internet
kullanma
süresi)
arasındaki
ilişkinin
ortaya
çıkarılması
amaçlanmıştır.
Araştırmada
nicel
araştırma
yaklaşımına
dayalı
genel
tarama
modellerden
ilişkisel
modeli
kullanılmıştır.
Araştırmanın
örneklemini
Türkiye’nin
doğusunda
bulunan
bir
il
merkezinde
gören
870
öğrenci
oluşturmaktadır.
Veri
toplama
aracı
olarak
Laupichler
diğerleri
(2023)
tarafından
geliştirilen,
Karaoğlan
Yılmaz
Türkçe
uyarlaması
yapılan
"Yapay
Zekâ
Okuryazarlığı
Ölçeği"
Araştırma
bulgularına
göre,
öğrencilerin
düşük
düzeyde
çıkmıştır.
elde
edilen
diğer
sonuç
ise
düzeyinin
cinsiyet
süresine
göre
farklılaştığı
şeklindedir.
Elde
sonuçlar
okuryazarlığı
konusundaki
eğitim
çalışmalarının
yetersiz
kaldığı
iyileştirmelere
gereksinim
duyulduğunu
koymaktadır.
kapsamda
konusunun
öğretimi
kullanılan
yöntemlerin
etkisi
üzerine
çalışmalar
yürütülebilir.
Education and Information Technologies,
Год журнала:
2024,
Номер
unknown
Опубликована: Авг. 6, 2024
Abstract
There
is
a
widespread
agenda
of
improving
teaching
and
learning
in
higher
education
by
engaging
students
with
educational
technology.
Based
on
large-scale
literature
review,
the
article
presents
61
specific,
research-based
recommendations
for
realising
engagement
potential
eight
types
technologies
education.
These
can
be
used,
example,
educators
to
incorporate
available
into
their
or
as
an
development
method
enhance
particular
forms
student
engagement.
evidence,
points
out
that
some
have
more
documented
sometimes
also
broader
engage
behaviourally,
affectively,
and/or
cognitively
than
others
this
likely
related
extent
technology
supports
structure,
active
learning,
communication,
interaction,
activities
levels
taxonomies.
