Journal of Educational Technology Systems,
Год журнала:
2024,
Номер
unknown
Опубликована: Дек. 5, 2024
This
study
explores
preservice
education
student
perceptions
on
ChatGPT's
ability
to
write
lesson
plans
through
the
use
of
a
guided
analysis
process
with
59
undergraduate
and
graduate
students
enrolled
in
STEM,
TESOL,
Social
studies
methods
courses
for
grades
PreK-12.
A
pre-
post-survey
reflection
strengths
weaknesses
ChatGPT
were
written
by
participants.
Statistically
significant
findings
revealed
regarding
complete
plan
their
content
area
detailed
substitute
teacher.
In
both
cases,
students’
these
tasks
decreased
after
they
engaged
content.
Students
shared
that
planning
as
practicing
educator,
but
indicated
revision
output
is
necessary.
call
future
work
explored.
Education Sciences,
Год журнала:
2024,
Номер
14(6), С. 636 - 636
Опубликована: Июнь 13, 2024
The
use
of
generative
artificial
intelligence
(GenAI)
in
academia
is
a
subjective
and
hotly
debated
topic.
Currently,
there
are
no
agreed
guidelines
towards
the
usage
GenAI
systems
higher
education
(HE)
and,
thus,
it
still
unclear
how
to
make
effective
technology
for
teaching
learning
practice.
This
paper
provides
an
overview
current
state
research
on
HE.
To
this
end,
study
conducted
systematic
review
relevant
studies
indexed
by
Scopus,
using
preferred
reporting
items
reviews
meta-analyses
(PRISMA)
guidelines.
search
criteria
revealed
total
625
papers,
which
355
met
final
inclusion
criteria.
findings
from
showed
future
trends
documents,
citations,
document
sources/authors,
keywords,
co-authorship.
gaps
identified
suggest
that
while
some
authors
have
looked
at
understanding
detection
AI-generated
text,
may
be
beneficial
understand
can
incorporated
into
supporting
educational
curriculum
assessments,
teaching,
delivery.
Furthermore,
need
additional
interdisciplinary,
multidimensional
HE
through
collaboration.
will
strengthen
awareness
students,
tutors,
other
stakeholders,
instrumental
formulating
guidelines,
frameworks,
policies
usage.
Information Systems Frontiers,
Год журнала:
2025,
Номер
unknown
Опубликована: Фев. 13, 2025
Abstract
The
proliferation
of
generative
artificial
intelligence
(GenAI)
has
disrupted
academic
institutions
across
the
world,
presenting
transformative
challenges
for
decision
makers,
and
leading
to
questions
around
existing
methods
practices
within
higher
education
(HE).
widespread
adoption
GenAI
tools
processes
highlights
an
ongoing
change
perceptions
role
humans
machines.
Academics
have
expressed
concerns
relating
to:
integrity,
undermining
critical
thinking,
lowering
standards
threat
models.
This
study
presents
a
mixed
approach
developing
valuable
insight
key
underlying
impacting
HE.
results
highlight
many
makers
in
formation
policy
strategic
direction.
findings
identify
significant
interdependencies
between
associated
with
We
further
discuss
implications
high
levels
driving
power
factors:
(i)
perceived
risks
from
Large
Language
Model
training
learning;
(ii)
reliability
outputs
context
impact
on
creativity
making;
(iii)
poor
platform
regulation.
posit
this
research
as
offering
new
perspective
changing
landscape
HE
through
GenAI.
Health Science Reports,
Год журнала:
2025,
Номер
8(2)
Опубликована: Фев. 1, 2025
The
integration
of
generative
artificial
intelligence
(AI)
technologies,
such
as
GPT-3,
Wordtune,
and
Jenni,
into
academic
settings
has
revolutionized
content
creation,
raising
significant
questions
about
authorship
originality.
While
AI
offers
benefits
in
efficiency
productivity,
it
presents
substantial
challenges
to
integrity.
This
paper
examines
these
the
need
for
new
frameworks
policies
ensure
ethical
use.
Our
study
aims
develop
promoting
use
safeguarding
work
authenticity.
We
employed
project-based
learning
(PBL)
methodology
enhance
student
engagement
performance.
A
total
179
students
participated.
PBL
involves
real-world
projects,
fostering
critical
thinking
research
skills.
Turnitin
was
used
evaluate
similarity
percentage
submitted
papers,
with
a
maximum
allowable
20%.
Results
showed
that
had
higher
performance
(82.5
vs.
66.5)
lower
percentages
(4.5%
13%)
compared
traditional
literature
review
assessments.
effectively
identified
AI-generated
content,
although
struggled
more
sophisticated
texts.
findings
highlight
effectiveness
originality
reducing
plagiarism.
Integrating
methodologies,
along
education,
can
help
institutions
maintain
integrity
while
leveraging
benefits.
Future
should
refine
strategies
adapt
evolving
educational
landscape.
Education Sciences,
Год журнала:
2025,
Номер
15(3), С. 329 - 329
Опубликована: Март 7, 2025
The
integration
of
generative
artificial
intelligence
(GenAI)
in
higher
education
has
opened
new
avenues
for
enhancing
academic
writing
through
student–chatbot
interactions.
While
initial
research
explored
this
potential,
deeper
insights
into
the
nature
these
interactions
are
needed.
This
study
characterizes
graduate
students’
with
AI
chatbots
writing,
focusing
on
types
assistance
they
sought
and
their
communication
style
tone
patterns.
To
achieve
this,
individual
online
sessions
were
conducted
43
students,
chatbot
analyzed
using
qualitative
quantitative
methods.
analysis
identified
seven
distinct
by
students.
most
frequent
requests
involved
content
generation
expansion,
followed
source
verification,
then
concept
clarification
definitions.
Students
also
support
consultation,
text
refinement
formatting,
and,
less
frequently,
rephrasing
modifying
translation
assistance.
was
“requesting,”
marked
direct
appeals
assistance,
“questioning”
“declarative”
styles.
In
terms
tone,
“neutral”
“praising”
dominated
interactions,
reflecting
engagement
appreciation
responses,
while
“reprimanding”
tones
relatively
low.
These
findings
highlight
need
tailored
interventions
that
encourage
students
to
seek
a
broader
more
in-depth
range
tasks.
Advances in educational technologies and instructional design book series,
Год журнала:
2025,
Номер
unknown, С. 181 - 208
Опубликована: Янв. 17, 2025
This
chapter
explores
the
integration
of
Artificial
Intelligence
(AI)
in
higher
education
with
an
emphasis
on
pedagogy,
instruction,
and
administration
for
student
learning
achievement.
The
paradigm
shift
moved
focus
from
teacher-centered
to
learner-centered
systems
involving
AI-powered
tools
personalized
such
as
intelligent
tutoring,
adaptive
systems,
natural
language
processing
(NLP),
machine
(ML),
robotics,
automated
grading,
feedback
offer
enhanced
opportunities
teaching
learning.
However,
AI
technological
transformation
presented
challenges
form
ethical
considerations,
algorithm
biases,
curriculum
development,
lack
infrastructure,
accessibility
issues.
discusses
history
evolution
AI,
technologies
education,
enhancing
pedagogy
faculty
support,
administrative
efficiency.
Additionally,
it
addresses
considerations
future
trends
adoption
education.
Electronics,
Год журнала:
2025,
Номер
14(7), С. 1258 - 1258
Опубликована: Март 22, 2025
This
research
aims
to
explore
the
use,
perceptions,
and
challenges
associated
with
generative
AI
(GenAI)
among
higher
education
students.
As
GenAI
technologies,
such
as
language
models,
image
generators,
code
assistants,
become
increasingly
prevalent
in
academic
settings,
it
is
essential
understand
how
students
engage
these
tools
their
impact
on
learning
process.
The
study
investigates
students’
awareness,
adoption
patterns,
perceptions
of
AI’s
role
tasks,
alongside
benefits
they
identify
face,
including
ethical
concerns,
reliability,
accessibility.
Through
quantitative
methods,
provides
a
comprehensive
analysis
student
experiences
education.
findings
aim
inform
educators,
technologists,
institutions
about
opportunities
barriers
integrating
technologies
into
educational
practices
guide
development
strategies
that
support
effective
responsible
use
academia.
