From Excitement to Anxiety: Exploring English as a Foreign Language Learners' Emotional Experiences in the Artificial Intelligence‐Powered Classrooms
European Journal of Education,
Год журнала:
2024,
Номер
unknown
Опубликована: Дек. 31, 2024
ABSTRACT
The
use
of
artificial
intelligence
(AI)
technologies
in
second/foreign
language
education
has
recently
gained
a
bulk
attention.
However,
the
emotional
experiences
English
as
foreign
(EFL)
learners
AI‐mediated
classes
have
been
ignored.
To
fill
this
gap,
present
qualitative
study
examined
34
Chinese
EFL
students'
perceptions
AI‐induced
emotions
and
regulation
strategies.
A
semi‐structured
interview
narrative
frame
were
used
to
collect
data.
gathered
data
thematically
analysed
through
latest
version
MAXQDA
software
(v.
2023).
findings
revealed
that
students
had
mostly
experienced
positive
‘motivation’,
‘excitement’,
‘engagement’
‘confidence’.
On
negative
side,
they
reported
experiencing
‘frustration’,
‘anxiety’
‘stress’
more
frequently
their
classes.
Furthermore,
indicated
participants
six
strategies,
namely
‘seeking
help
from
others’,
‘shifting
attention’,
‘cognitive
change’,
‘persistent
practice’,
‘staying
positive’
‘suppression’
regulate
emotions.
are
discussed
implications
provided
for
educators
understand
aspect
AI
injection
into
L2
education.
Язык: Английский
AI in the classroom: Exploring students’ interaction with ChatGPT in programming learning
Education and Information Technologies,
Год журнала:
2025,
Номер
unknown
Опубликована: Янв. 15, 2025
Язык: Английский
EFL students’ perceptions about the role of generative artificial intelligence (GAI)-mediated instruction in their emotional engagement and goal orientation: A motivational climate theory (MCT) perspective in focus
Learning and Motivation,
Год журнала:
2025,
Номер
90, С. 102114 - 102114
Опубликована: Фев. 27, 2025
Язык: Английский
Unboxing the intersections between self‐esteem and academic mindfulness with test emotions, psychological wellness and academic achievement in artificial intelligence‐supported learning environments: Evidence from English as a foreign language learners
British Educational Research Journal,
Год журнала:
2025,
Номер
unknown
Опубликована: Фев. 22, 2025
Abstract
The
integration
of
artificial
intelligence
(AI)
into
language
education
is
rapidly
transforming
English
as
a
foreign
(EFL)
learning
environments,
presenting
both
opportunities
and
challenges.
While
AI‐supported
tools
offer
potential
benefits,
they
can
also
trigger
complex
test‐related
emotions
that
may
impact
learners’
psychological
academic
well‐being.
Therefore,
understanding
the
interplay
between
internal
resources
like
self‐esteem
mindfulness,
alongside
these
emotions,
becomes
crucial.
This
study
investigated
correlations
mindfulness
with
test
well‐being
achievement
among
EFL
learners
in
contexts
China.
To
meet
this
purpose,
quantitative
approach
was
employed,
using
data
collected
from
sample
305
university
students
(155
males
150
females)
China
selected
through
stratified
random
sampling.
analysis
conducted
via
confirmatory
factor
structural
equation
modelling
SMART
PLS
software.
results
indicated
were
strong
predictors
wellness
achievement.
Higher
levels
linked
to
higher
These
findings
stress
necessity
incorporating
socio‐emotional
skills
AI‐enhanced
learning,
considering
students’
when
deploying
AI
designing
interventions
address
emotional
challenges
within
environments.
Язык: Английский
AI-Driven Literary Analysis: Exploring the Impact of Artificial Intelligence on Text Interpretation and Criticism
R D Gomathi,
J. Senthil Murugan,
P. Kavitha
и другие.
Journal of Machine and Computing,
Год журнала:
2025,
Номер
unknown, С. 1124 - 1139
Опубликована: Апрель 5, 2025
Artificial
Intelligence
(AI)
in
literary
studies
has
disrupted
traditional
schools
of
thought
regarding
textual
analysis,
interpretation,
and
criticism.
This
research
establishes
a
framework
that
is
AI-powered:
the
Literary
Interpretative
Neural
Algorithm
(LINA),
which
shows
promise
for
analysis
complex
linguistic
patterns,
thematic
structures,
stylistic
elements
teaching
learning
language.
With
its
hybrid
approach
integrating
Natural
Language
Processing
(NLP),
transformer-based
deep
models,
sentiment
LINA
assesses
texts
ranging
across
historical
contemporary
genres.
Contrasting
conventional
methods
often
judged
through
lens
subjective
enables
data-driven,
unbiased
analyses
themes,
character
development,
intertextual
relationships.
The
further
examines
capability
AI
to
reveal
those
aspects
have
remained
obscure:
establish
hidden
authorial
intent,
evolution
genre
over
aeons.
effectiveness
model
validated
contrast
heterogeneous
corpus
works,
including
insights
derived
from
proposed
against
critical
methods.
study
concludes
by
emphasizing
AI-enhanced
could
serve
advance
academic
discourse,
automate
tasks
classification,
provide
additional
layers
text
interpretation.
Contributions
will
lie
at
interaction
between
humanities
translation
publications,
stressing
need
interdisciplinary
approaches
digital
age.
Future
work
characterize
refined
deeper
semantic
understanding
ethical
issues
automated
Язык: Английский
AI-powered personalized learning: Enhancing self-efficacy, motivation, and digital literacy in adult education through expectancy-value theory
Learning and Motivation,
Год журнала:
2025,
Номер
90, С. 102129 - 102129
Опубликована: Апрель 15, 2025
Язык: Английский
The Role of AI Implementation in Higher Education in Achieving the Sustainable Development Goals: A Case Study from Slovenia
Sustainability,
Год журнала:
2024,
Номер
17(1), С. 183 - 183
Опубликована: Дек. 29, 2024
Artificial
intelligence
(AI)
holds
immense
potential
to
drive
sustainable
development
by
enabling
progress
toward
the
realization
of
17
Sustainable
Development
Goals
(SDGs)
outlined
in
2030
Agenda.
This
is
emphasized
concept
twin
transitions,
where
digital
and
green
transformations
reinforce
each
other.
study
examines
integration
AI
26
courses
at
University
Ljubljana,
Slovenia,
focusing
on
its
impact.
Using
an
exploratory
case
a
comprehensive
content
analysis
framework,
identifies
inhibiting
factors
interplay
transitions
education.
The
results
reveal
that
higher
education
can
facilitate
achieving
11
SDGs
28
targets
promoting
innovation,
equality,
literacy.
At
same
time,
however,
it
also
harbors
risks
hinder
7
targets,
particularly
terms
data
protection
equal
access.
By
highlighting
synergies
between
transformations,
this
provides
actionable
insights
for
educators
policy
makers
who
want
harness
transformative
while
addressing
challenges
calls
future
research
broader
educational
landscape.
Язык: Английский
Which features of AI-based tools are important for students? A choice-based conjoint analysis
Jörg von Garrel,
Jana Mayer
Computers and Education Artificial Intelligence,
Год журнала:
2024,
Номер
unknown, С. 100311 - 100311
Опубликована: Сен. 1, 2024
Язык: Английский
ChatGPT Use
Advances in educational technologies and instructional design book series,
Год журнала:
2024,
Номер
unknown, С. 309 - 330
Опубликована: Окт. 11, 2024
This
work
employs
intersectionality
and
capital
theory
as
theoretical
interpretive
lenses
for
exploring
ChatGPT
use
drivers
barriers
in
English
academic
purposes
among
students
whose
voice
is
downplayed
relevant
literature.
Data
were
drawn
from
in-depth
interviews
with
11
second-generation
migrant
engineering
learning
disabilities
at
three
higher
education
institutions
Greece.
Thematic
analysis
revealed
intersectional
driver
themes:
a)
fear
failure,
b)
fast
help,
c)
non-judgmental
friend
teacher.
Barrier
themes
included
plagiarism
paraphrasing
struggles,
low
marks,
addiction.
Findings
unveil
the
overt
covert
of
using
EAP
courses
through
eyes
marginalized
provide
insight
that
may
help
practitioners
design
inclusive
utilizing
ChatGPT.
Язык: Английский