Generative AI in teacher education: Teacher educators’ perception and preparedness
Journal of Digital Educational Technology,
Год журнала:
2025,
Номер
5(1), С. ep2508 - ep2508
Опубликована: Янв. 28, 2025
This
rapid
study
explores
teacher
educators’
perceptions
of
generative
artificial
intelligence
(GenAI)
in
education,
conducted
through
a
descriptive
survey
involving
55
educators
from
two
colleges
education
Ghana.
A
convenience
sampling
technique
was
adopted
for
data
collection,
and
analysis
using
<i>exploratory
factor
analysis</i>
used
to
identify
primary
factors
shaping
preparedness
GenAI
integration.
Key
findings
reveal
generally
positive
perception
among
the
educators,
who
recognize
GenAI’s
potential
support
academic
achievement,
increase
student
engagement,
improve
communication
within
settings.
The
further
indicate
that
background
factors,
such
as
age,
years
teaching
experience,
department,
college,
do
not
significantly
predict
their
GenAI.
Since
none
these
measured
were
significant
predictors,
this
suggests
training
resources
should
be
broadly
prioritized,
accessible,
heavily
tailored
specific
demographic
groups.
However,
identified
concerns
<i>barriers
challenges</i>
including
ethical
issues,
fairness
assessment,
possible
adverse
effects
on
educator-student
relationship.
<i>communication
independence</i>
highlight
need
professional
development,
with
emphasizing
importance
usage
optimize
its
educational
potential.
concludes
while
benefits,
there
are
essential
practical
challenges
address.
Recommendations
include
establishing
clear
policies
guidelines
guide
implementation
ensure
usage.
We
recommend
expansion
research
larger
sample
gather
comprehensive
insights
acceptance
levels
Язык: Английский
Cross-Continental Insights: Comparative Analysis of Using AI for Information System Stakeholder Analysis in Undergraduate Courses in the EU and USA
Опубликована: Янв. 1, 2025
Язык: Английский
Improving LLM Reliability with RAG in Religious Question-Answering: MufassirQAS
Turkish Journal of Engineering,
Год журнала:
2025,
Номер
9(3), С. 544 - 559
Опубликована: Март 15, 2025
Religious
teachings
can
sometimes
be
complex
and
challenging
to
grasp,
but
chatbots
serve
as
effective
assistants
in
this
domain.
Large
Language
Model
(LLM)
based
chatbots,
powered
by
Natural
Processing
(NLP),
connect
related
topics
provide
well-supported
responses
intricate
questions,
making
them
valuable
tools
for
religious
education.
However,
LLMs
are
prone
hallucinations
they
generate
inaccurate
or
irrelevant
information,
these
include
sensitive
content
that
could
offensive,
inappropriate,
controversial.
Addressing
such
without
inadvertently
promoting
hate
speech
disrespecting
certain
beliefs
remains
a
significant
challenge.
As
solution
issues,
we
introduce
MufassirQAS,
system
enhances
LLM
accuracy
transparency
using
vector
database-driven
Retrieval-Augmented
Generation
(RAG)
approach.
We
built
dataset
comprising
fundamental
books
containing
Turkish
translations
interpretations
of
Islamic
texts.
This
database
is
leveraged
answer
inquiries
while
ensuring
remain
reliable
contextually
grounded.
Our
also
presents
the
relevant
sections
alongside
LLM-generated
answers,
reinforcing
transparency.
carefully
designed
prompts
prevent
harmful,
disrespectful
outputs,
align
with
ethical
respectful
discourse.
Moreover,
MufassirQAS
provides
supplementary
details,
source
page
numbers
referenced
articles,
enhance
credibility.
To
evaluate
its
effectiveness,
tested
against
ChatGPT
our
demonstrated
superior
performance
maintaining
reliability.
Future
work
will
focus
on
improving
refining
prompt
engineering
techniques
further
minimize
biases
ensure
even
more
responses.
Язык: Английский
Pre-service science teachers’ perception on using generative artificial intelligence in science education
Contemporary Educational Technology,
Год журнала:
2025,
Номер
17(3), С. ep579 - ep579
Опубликована: Март 27, 2025
The
development
of
generative
artificial
intelligence
(AI)
has
started
a
conversation
on
its
possible
uses
and
inherent
difficulties
in
the
field
education.
It
becomes
essential
to
understand
perceptions
pre-service
teachers
about
integration
this
technology
into
teaching
practices
as
AI
models
including
ChatGPT,
Claude,
Gemini
acquire
popularity.
This
investigation
sought
create
valid
trustworthy
instrument
for
evaluating
science
teachers’
opinions
implementation
educational
settings
related
science.
work
was
undertaken
within
faculty
education
at
Kazan
Federal
University.
total
number
participants
is
401
undergraduate
students.
process
scale
encompassed
expert
evaluation
content
validity,
exploratory
factor
analysis,
confirmatory
assessments
reliability.
resultant
consisted
four
dimensions:
optimism
utility
education,
readiness
openness
integration,
AI’s
role
inclusivity
engagement,
concerns
skepticism
demonstrated
robust
psychometric
properties,
evidenced
by
elevated
reliability
coefficients.
Cluster
analysis
unveiled
distinct
profiles
based
their
responses,
encompassing
spectrum
from
enthusiastic
skeptical
disengaged
individuals.
study
provides
comprehensive
perceptions,
thereby
informing
teacher
programs
professional
initiatives
regarding
responsible
AI.
Recommendations
entail
validation
across
varied
contexts,
exploration
longitudinal
changes,
subject-specific
applications
Язык: Английский
Higher Education Students’ Perceptions of GenAI Tools for Learning
Information,
Год журнала:
2024,
Номер
15(7), С. 416 - 416
Опубликована: Июль 18, 2024
Students’
perceptions
of
tools
with
which
they
learn
affect
the
outcomes
this
learning.
GenAI
are
new
that
have
promise
for
students’
learning,
especially
higher
education
students.
Examining
as
learning
can
help
instructors
better
plan
activities
utilize
these
in
context.
The
present
research
considers
four
components
tools:
efficiency,
interaction,
affect,
and
intention.
To
triangulate
data,
it
combines
quantitative
qualitative
methodologies,
by
using
a
questionnaire
conducting
interviews.
A
total
153
students
responded
to
questionnaire,
while
10
participated
interview.
results
indicated
means
efficiency
were
significantly
medium,
mean
intention
was
high.
findings
showed
intention,
male
had
AI
than
female
students,
but
interaction
component,
two
genders
did
not
differ
significantly.
Moreover,
degree
affected
only
perception
where
value
different
between
B.A.
Ph.D.
favor
medium-technology-knowledge
high-technology-knowledge
differed
their
working
component
only,
difference
Furthermore,
knowledge
high-AI-knowledge
over
low-AI-knowledge
well
medium-AI-knowledge
Язык: Английский
Perceptions and Preparedness: Exploring Teacher Educators' Views on Integrating Generative AI in Colleges of Education, Ghana
SSRN Electronic Journal,
Год журнала:
2023,
Номер
unknown
Опубликована: Янв. 1, 2023
This
research
investigated
the
perceptions
of
teacher
educators
from
colleges
education
in
Ghana
towards
generative
Artificial
Intelligence
(GAI)
technologies,
specifically
focusing
on
ChatGPT
and
GPT-4.
Following
their
engagement
an
online
seminar
AI's
application
education,
study
delves
into
viewpoints
preparedness.
The
adopted
a
descriptive
survey
method,
employing
Likert-type
questionnaire.
primary
population
comprised
two
Northern
Region
colleges.
Data
51
respondents
was
gathered
using
Google
Forms
analyzed
descriptively
for
closed-ended
questions,
thematically
open-ended
items.The
key
findings
revealed
positive
perception
GAI
among
participants.
However,
there
were
also
significant
reservations
about
disrupting
traditional
teaching
methodologies.
results
emphasized
necessity
continuous
professional
development
importance
balanced
approach
to
integrating
without
overshadowing
existing
practices.
There
fear
that
students'
expose
tools
may
affect
active
participation
classroom
instruction
schooling
general.
Moreover,
regarding
benefits
challenges
seem
be
largely
uniform,
regardless
individual
factors
like
years
or
departmental
affiliations.
collective
sentiment
warrants
further
exploration
overarching
views
Ghana's
educational
realm.
Язык: Английский
Comparing Human and AI’s (GPT-4 and Gemini) Understanding of the Nature of Science
SSRN Electronic Journal,
Год журнала:
2023,
Номер
unknown
Опубликована: Янв. 1, 2023
Язык: Английский
Gender perceptions of generative AI in higher education
Journal of Applied Research in Higher Education,
Год журнала:
2024,
Номер
unknown
Опубликована: Сен. 19, 2024
Purpose
This
study
explored
the
themes
and
sentiments
of
online
learners
regarding
use
Generative
Artificial
Intelligence
(AI)
or
“generative
AI”
technology
in
higher
education.
Design/methodology/approach
English-language
tweets
were
subjected
to
topic
modelling
sentiment
analysis.
Three
prevalent
identified
discussed:
curriculum
development
opportunities,
lifelong
learning
prospects
challenges
associated
with
generative
AI
use.
Findings
The
results
also
indicated
a
range
topics
emotions
towards
education,
which
predominantly
positive
but
varied
across
male
female
users.
Originality/value
findings
provide
insights
for
educators,
policymakers
researchers
on
opportunities
integration
educational
settings.
includes
importance
identifying
AI-supported
teaching
practices
that
align
gender-specific
preferences
offer
more
inclusive
tailored
approach
learning.
Язык: Английский
Lecturers’ Awareness of Artificial Intelligence Tools for Teaching and Research in Alvan Ikoku Federal University of Education, Nigeria
Deleted Journal,
Год журнала:
2024,
Номер
17(1), С. 1 - 14
Опубликована: Ноя. 8, 2024
Technology
integration
into
curriculum
no
doubt
has
so
many
benefits
that
lecturers
in
tertiary
educational
institutions
can
derive.
This
study
examined
lecturers’
awareness
of
Artificial
Intelligence
(AI)
tools
for
teaching
and
research
at
Alvan
Ikoku
Federal
University
Education
Owerri
Nigeria.
The
AI
the
include
ChatGPT,
PowerPoint
Speaker
Coach
Quillbot,
Perplexity,
Scholarcy,
Gradescope,
Mendeley
Gemini,
MATHia,
ChatPDF,
Consensus,
Research
Rabbit,
Class
Point
Scite.
Three
questions
two
hypotheses
guided
study.
population
comprised
university.
Data
was
collected
using
researchers
developed
questionnaire
tagged
Lecturers’
Awareness
Tools
Teaching
Questionnaire
(LAAITTRQ)
on
WhatsApp.
Mean
standard
deviation
were
used
to
answer
while
independent
samples
t-test
statistics
Analysis
Variance
(ANOVA)
test
employed
formulated
a
0.05
level
significance.
Findings
reveal
are
aware
research.
Furthermore,
it
discovered
there
significant
difference
according
gender.
However,
differences
exist
experience
with
least
experienced
having
mean
scores
higher
than
most
moderately
experienced.
Based
findings,
recommended
workshops
training
use
should
be
organized
university
boost
their
knowledge
skills
among
others.
Язык: Английский
Creativity and Generative AI for Preservice Teachers
IntechOpen eBooks,
Год журнала:
2024,
Номер
unknown
Опубликована: Ноя. 11, 2024
In
this
chapter,
we
explore
the
dual
role
of
Generative
AI
in
both
harnessing
and
hampering
creativity
preservice
teacher
(PST)
education.
On
one
hand,
(GAI)
tools,
such
as
ChatGPT,
Adobe
Firefly
other
programs,
offer
novel
opportunities
for
enhancing
PST
creativity.
By
providing
automated
assistance
generating
ideas,
solving
problems,
producing
artistic
content,
these
technologies
can
empower
PSTs
to
new
avenues
expression
innovation.
Used
effectively,
they
foster
a
conducive
environment
creative
exploration
self-expression.
widespread
adoption
GAI
education
raises
concerns
regarding
its
potential
negative
impacts
on
student
An
overreliance
AI-generated
content
may
inhibit
intrinsic
motivation,
critical
thinking
skills,
originality,
leading
reduction
autonomy
self-efficacy.
share
PSTs’
impressions
experiences
related
their
use
ChatGPT
design
lesson
plans.
Язык: Английский