Intersections between cognitive‐emotion regulation, critical thinking and academic resilience with academic motivation and autonomy in EFL learners: Contributions of AI‐mediated learning environments
British Educational Research Journal,
Год журнала:
2025,
Номер
unknown
Опубликована: Фев. 24, 2025
Abstract
The
rapid
and
pervasive
integration
of
artificial
intelligence
(AI)
technologies
into
education
presents
both
unprecedented
opportunities
significant
challenges.
While
AI‐powered
tools
offer
personalised
learning
experiences
access
to
vast
knowledge
repositories,
their
successful
implementation
hinges
on
a
nuanced
understanding
how
learners'
psychological
cognitive
processes
interact
within
these
dynamic
environments.
This
study
delved
the
intricate
interplay
between
cognitive‐emotion
regulation,
critical
thinking,
academic
resilience,
motivation
autonomy
in
cohort
English
as
foreign
language
(EFL)
learners
engaged
AI‐mediated
learning.
For
this,
sample
302
EFL
was
recruited
using
stratified
random
sampling
method.
data
were
analysed
structural
equation
modelling
confirmatory
factor
analysis
through
SMART
PLS
software.
Findings
revealed
that
there
correlation
regulation
among
Moreover,
results
showed
thinking
existed.
Additionally,
outcomes
indicated
resilience
significantly
correlated
with
autonomy.
These
findings
underscored
by
cultivating
ability
effectively
manage
emotions,
engage
inquiry
exercise
autonomy,
educators
can
empower
them
navigate
complexities
AI‐integrated
environments,
achieve
success
develop
essential
skills
for
lifelong
digital
age.
Язык: Английский
Influence of AI-driven educational tools on critical thinking dispositions among university students in Malaysia: a study of key factors and correlations
Education and Information Technologies,
Год журнала:
2024,
Номер
unknown
Опубликована: Ноя. 9, 2024
Язык: Английский
Business English Teaching with Intelligent Assistance—Research on Case-driven and Artificial Intelligence Application Improvement
Journal of Educational Research and Policies,
Год журнала:
2024,
Номер
6(10), С. 71 - 74
Опубликована: Окт. 30, 2024
This
paper
explores
a
new
model
of
business
English
teaching
in
an
intelligent-assisted
environment.
Through
the
application
case-driven
and
artificial
intelligence
technology,
it
aims
to
improve
effectiveness
learning
efficiency.
The
article
first
analyzes
current
status
problems
teaching,
then
introduces
detail
specific
method
technology
teaching.
Finally,
this
is
verified
through
empirical
research,
prospects
for
future
research
are
proposed.
Resources.
Язык: Английский