Investigating the use of AI tools in English language learning: A phenomenological approach
Contemporary Educational Technology,
Год журнала:
2025,
Номер
17(2), С. ep578 - ep578
Опубликована: Март 20, 2025
This
investigation
utilized
a
phenomenological
approach
to
investigate
the
experience
of
English
language
educators
in
employing
artificial
intelligence
(AI)
tools
into
learning.
The
study
used
purposive
sampling
and
20
participants
were
interviewed.
data
analysis
was
guided
by
Bronfenbrenner’s
(1979)
ecological
systems
theory,
particularly
microsystem,
exosystem,
macrosystem.
findings
demonstrated
that
AI
enable
interactive,
personalized,
gamified
learning
experiences
enhance
student
engagement,
motivation,
proficiency.
also
emphasized
importance
technological
content
knowledge
pedagogical
improving
instructional
methodologies.
Challenges,
including
AI-related
distractions
reduced
direct
interaction
between
students,
identified,
necessitating
balanced
integration
these
despite
inherent
advantages.
Furthermore,
research
underscored
significance
institutional
support,
which
encompasses
ongoing
professional
development
technical
assistance,
facilitate
successful
education.
Язык: Английский
Artificial Intelligence in Higher Education: Trends, Possibilities and Challenges
Lecture notes in networks and systems,
Год журнала:
2025,
Номер
unknown, С. 216 - 227
Опубликована: Янв. 1, 2025
Язык: Английский
Building bridges to the future of learning: Exploring artificial intelligence research using R-Studio assisted bibliometrics
Cogent Education,
Год журнала:
2024,
Номер
11(1)
Опубликована: Окт. 25, 2024
Artificial
intelligence
(AI)
has
transformed
education
by
enhancing
personalization
and
learning
efficiency.
However,
the
application
of
AI
in
addressing
its
challenges
potential
remains
suboptimal.
This
study
aims
to
provide
a
bibliometric
analysis
Education
research,
focusing
on
publications
from
2017
2023
sourced
Scopus-indexed
journals.
Using
R-Studio-assisted
bibliometrics,
uses
descriptive
co-authorship
explore
publication
trends,
citation
patterns,
affiliations,
institutions,
collaboration
networks.
Analyzing
161
documents,
identifies
key
trends
growth
areas
AI-based
learning.
The
findings
this
indicate
an
increase
research
publications,
especially
2022
2023.
also
show
that
developed
countries
such
as
United
States,
China,
Kingdom
dominate
education.
Their
contributions
include
technology
development
international
collaboration.
Then,
offers
insight
into
global
landscape
highlighting
require
further
exploration
optimize
function
role
process.
In
addition,
regarding
impact
cognitive,
affective,
psychomotor
domains
need
be
identified
ensure
effective
integration
context
educational
sustainability.
Язык: Английский