Navigating AI writing tools in medical education: A SWOT analysis of L2 academic writing perspectives
Language Teaching Research,
Journal Year:
2025,
Volume and Issue:
unknown
Published: March 25, 2025
The
integration
of
artificial
intelligence
(AI)
writing
tools
in
second
language
(L2)
academic
presents
both
opportunities
and
challenges
for
medical
education.
This
study
employed
a
SWOT
(strengths–weaknesses–opportunities–threats)
analysis
to
examine
students’
perspectives
on
using
AI
their
practice.
Forty-two
students
from
major
Iranian
university
participated
the
study,
providing
weekly
reflections
final
over
15-week
course.
Thematic
revealed
that
offer
significant
strengths
linguistic
skill
development,
particularly
vocabulary
enhancement,
sentence
improvement,
grammar
proofreading.
However,
weaknesses
such
as
over-reliance
AI,
lack
contextual
understanding,
occasional
inaccuracies
suggestions
were
identified.
Opportunities
included
creative
enhancement
immediate
refinement,
while
threats
encompassed
human–computer
interaction,
including
potential
misinformation
dishonesty.
highlights
need
balanced
approach
integrating
into
L2
instruction,
emphasizing
role
supplementary
aids
rather
than
primary
resources.
Implications
pedagogy
include
developing
curricula
teach
critical
evaluation
AI-generated
content
implementing
tasks
require
higher-order
thinking
skills.
contributes
growing
body
literature
education
provides
valuable
insights
educators
policymakers
navigating
evolving
landscape
AI-assisted
Language: Английский
Influence of Self-Efficacy in the Use of Artificial Intelligence (AI) and Anxiety Toward AI Use on AI Dependence Among Peruvian University Students
Data & Metadata,
Journal Year:
2025,
Volume and Issue:
4, P. 210 - 210
Published: Jan. 12, 2025
Background:
The
advancement
of
artificial
intelligence
(AI)
in
education
has
transformed
the
way
students
interact
with
technological
tools,
creating
new
challenges
related
to
self-efficacy,
anxiety,
and
AI
dependence.
Self-efficacy
refers
one's
confidence
their
ability
use
AI,
while
AI-related
anxiety
pertains
fear
or
concern
when
interacting
these
systems.
These
variables
can
influence
dependence,
affecting
academic
performance
emotional
well-being.
Objective:
This
study
aims
examine
self-efficacy
toward
on
dependence
among
Peruvian
university
students.
Methods:
A
descriptive
cross-sectional
was
conducted
528
aged
18
37
years
(M
=
19.00,
SD
3.84).
Scales
were
used
measure
Correlation
multiple
regression
analyses
applied
identify
predictors
Results:
results
showed
that
positively
correlated
(r
0.43,
p
<
.01)
0.61,
.01).
Anxiety
also
significantly
0.71,
Multiple
analysis
revealed
both
(β
1.131,
.001)
0.610,
predicted
Additionally,
business
administration
exhibited
greater
compared
from
other
fields
1.025,
.05).
Conclusions:
Students
higher
tend
utilize
more
frequently
but
experience
AI.
Educational
interventions
should
focus
reducing
prevent
excessive
especially
Language: Английский