Pre-service teachers’ attitudes towards artificial intelligence and its integration into EFL teaching and learning
Journal of language and cultural education,
Год журнала:
2023,
Номер
11(3), С. 100 - 114
Опубликована: Дек. 1, 2023
Abstract
Even
though
artificial
intelligence
(AI)
is
no
new
occurrence,
with
its
beginnings
dating
back
to
the
1950s,
use
has
gained
popularity
worldwide,
especially
in
recent
years,
and
presence
importance
grown
many
areas
of
human
lives,
including
education.
Surveys
conducted
internationally
have
found
generally
positive
attitudes
university
students
towards
inclusion
into
various
fields
research
study.
However,
only
few
probes
been
among
philology
future
language
teachers.
No
such
or
pre-service
EFL
teachers
Central
Europe.
This
paper
aims
fill
this
gap
educational
knowledge,
as
knowing
teachers’
teacher
students’
AI
can
be
a
key
factor
success
failure
applying
Therefore,
aim
study
determine
level
knowledge
dominant
general,
learning/teaching
training
curriculum
Slovakia.
To
collect
data
from
respondents,
cross-sectional
survey
form
KAP
questionnaire
was
November-December
2022.
137
English
responded
pre-tested
online
consisting
19
closed-ended
(5-point
Likert
scale)
items
one
open-ended
question.
Slovak
were
equally
interested
(38.67%)
uninterested
(39.42%)
ongoing
discussion
about
Overall,
they
self-reported
having
(61.31%)
unsatisfactory
(21.17%)
understanding
basic
computational
principles
AI.
On
other
hand,
significantly
more
satisfied
their
AI-based
applications
for
teaching,
which
considered
adequate
(35.04%).
Nevertheless,
almost
half
(45.25%)
rated
inadequate.
It
therefore
encouraging
learn
that
64.24%
respondents
agreed
education
should
included
had
predominantly
expectations
application
63.50%
them
statement
will
improve
general
(compared
18.98%
who
disagreed).
They
shared
attitude
incorporation
showed
optimistic
regarding
impact
on
teaching
learning
foreign
language.
did
not
express
any
concerns
profession.
majority
(53.28%)
might
lose
some
skills
when
using
practice
significant
number
(42.33%)
feared
would
make
less
personal.
These
findings
are
consistent
previous
internationally.
Язык: Английский
Medical imaging and radiation science students' use of artificial intelligence for learning and assessment
Radiography,
Год журнала:
2024,
Номер
30, С. 60 - 66
Опубликована: Окт. 19, 2024
Язык: Английский
Restorative Justice as an Alternative Response to Student Academic Dishonesty in South African Higher Education Institutions
Potchefstroom Electronic Law Journal/Potchefstroomse Elektroniese Regsblad,
Год журнала:
2024,
Номер
27
Опубликована: Окт. 24, 2024
Academic
dishonesty
among
students
is
a
persistent
problem
in
higher
education
institutions
throughout
the
world,
including
South
Africa.
The
traditional
methods
of
dealing
with
academic
have
not
succeeded
curtailing
rise
this
phenomenon.
Dissatisfied
methods,
some
countries
started
searching
for
other
ways
responding
to
dishonesty.
One
such
way
restorative
justice,
which
new
phenomenon
history
disciplinary
problems
environment.
International
research
shows
its
potential
enhance
honesty
students.
This
article
examines
justice
as
an
alternative
method
student
African
institutions.
After
reviewing
literature
concludes
firstly
that
can
reduce
dishonesty,
and
secondly,
inculcate
good
behaviour
recommends
be
adopted
one
measures
deal
Язык: Английский
Learning for an uncertain future: artificial intelligence a challenge for Pakistani education system in the era of digital transformation
Qualitative Research Journal,
Год журнала:
2024,
Номер
unknown
Опубликована: Ноя. 18, 2024
Purpose
The
rapid
advancement
of
AI
in
education
brings
both
significant
challenges
and
opportunities.
In
Pakistan,
where
the
educational
system
is
facing
numerous
issues,
integration
has
raised
concerns.
Therefore,
this
study
aims
to
explore
poses
Pakistani
era
digital
transformation.
Design/methodology/approach
A
focus
group
was
conducted
with
13
participants,
including
educators
heads
departments
from
universities
located
Rawalpindi
Islamabad.
Thematic
analysis
used
generate
themes
data.
Findings
findings
indicated
that
can
provide
personalized
adaptive
learning
teaching
experiences
by
bridging
divide
through
easy
access
quality
education.
Participants
also
highlighted
anxieties
related
as
a
great
challenge
for
Pakistan.
automation
raising
concerns
about
job
displacement
educators.
Originality/value
It
into
bring
To
tackle
these
potential
strategies
such
professional
development
training
programs
develop
literacy
among
need
be
introduced.
Язык: Английский
Understanding Student Attitudes toward GenAI Tools: A Comparative Study of Serbia and Austria
International Journal of Cognitive Research in Science Engineering and Education,
Год журнала:
2024,
Номер
12(3), С. 583 - 611
Опубликована: Дек. 30, 2024
This
study
explores
university
students’
attitudes
toward
generative
AI
technology
and
tools
in
two
European
countries.
Driven
by
the
increasing
integration
of
education
limited
research
on
student
perceptions,
particularly
contexts,
this
aimed
to
understand
how
students
view
GenAI
its
implications
for
higher
education.
The
employed
a
quantitative
approach,
using
surveys
collect
data
across
different
fields
study,
genders,
A
key
innovation
is
development
novel
“Attitude
AI”
scale,
designed
provide
robust
theoretically
grounded
instrument
measuring
perceptions
GenAI.
scale
offers
valuable
tool
evaluating
effectiveness
results
showed
that
differed
significantly
based
their
field
gender.
Male
technical
sciences
had
most
positive
adoption,
indicating
potential
drive
changes
implementation.
While
effect
size
was
small,
finding
underscores
importance
considering
individual
factors
when
designing
interventions
promote
acceptance.
underscored
prior
experience
shapes
attitudes,
highlighting
need
resources
familiarize
with
ethics.
significant
contribution
addressing
lack
reliable
instruments
assessing
GenAI,
enabling
deeper
understanding
influencing
informing
targeted
groups.
Further
needed
GenAI’s
long-term
impact.
Язык: Английский