Artificial Intelligence in MOOCs
IJERI International Journal of Educational Research and Innovation,
Год журнала:
2025,
Номер
23
Опубликована: Фев. 26, 2025
In
a
climate
of
media
interest
in
artificial
intelligence
(AI),
growth
services
and
applications
associated
with
this
technology
intense
debates
on
its
use,
the
educational
offer
topic
is
full
bloom.
sense,
focusing
attention
MOOCs
(massive
open
online
courses),
an
exponential
AI
has
been
observed
recent
years.
This
research
part
broader
investigation
into
technical
pedagogical
dimensions
MOOCs.
The
main
objective
study
to
understand
predominant
profile
Using
statistically
representative
sample
292
based
category
system
content,
descriptive
factorial
statistical
analysis
data
carried
out.
concludes
that
three
MOOC
profiles
are:
focused
coding,
learning
value.
Язык: Английский
AI Literacy in Teacher Education: Empowering Educators Through Critical Co-Discovery
Journal of Teacher Education,
Год журнала:
2025,
Номер
unknown
Опубликована: Март 18, 2025
Teacher
education
increasingly
requires
educators
to
engage
with
generative
AI
technologies,
yet
critical
and
reflective
engagement
opportunities
remain
scarce.
While
is
often
framed
as
a
tool
for
automation,
its
broader
pedagogical
ethical
implications
receive
less
attention.
To
address
this
gap,
we
implemented
co-discovery
approach
within
an
online
in
Education
(AIEd)
course
enhance
educators’
literacy.
This
illustrative
case
study
examines
which
literacy
components
can
be
developed
through
how
fosters
reflective,
critical,
participatory
AI.
Findings
revealed
that
activities,
co-constructed
understanding
of
concepts,
considerations,
context-specific
applications.
The
highlights
the
need
prolonged
by
integrating
it
into
teacher
program
ensure
critically
navigate
assert
their
agency
AI’s
complex
role
education.
Язык: Английский
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
Current Trends in Artificial Intelligence Application for Pre-Service Teacher Training in Africa
IGI Global eBooks,
Год журнала:
2025,
Номер
unknown, С. 259 - 280
Опубликована: Март 21, 2025
The
rapid
evolution
of
Artificial
Intelligence
(AI)
presents
significant
opportunities
for
advancing
inclusive
education
(IE),
particularly
in
the
training
pre-service
teachers.
This
chapter
explores
current
trends
AI
technologies
and
their
application
preparing
future
teachers
to
support
diverse
learners'
learning
needs
effectively.
As
educational
institutions
increasingly
embrace
digital
tools,
AI-driven
platforms
are
emerging
as
pivotal
resources
enhancing
teacher
programmes.
provides
operational
definitions,
theoretical
background,
a
literature
review
examining
most
recent
relevant
available
recommendations
consider
when
implementing
artificial
intelligence
use
with
learners
special
needs,
classrooms,
brief
conclusion.
Язык: Английский
The impact of TPACK on teachers’ willingness to integrate generative artificial intelligence (GenAI): The moderating role of negative emotions and the buffering effects of need satisfaction
Yiming Yang,
Qi Xia,
C. C. Liu
и другие.
Teaching and Teacher Education,
Год журнала:
2024,
Номер
154, С. 104877 - 104877
Опубликована: Ноя. 26, 2024
Язык: Английский
AI and education: combination to enhance knowledge
Deleted Journal,
Год журнала:
2024,
Номер
4, С. 37 - 37
Опубликована: Окт. 11, 2024
Artificial
intelligence
(AI)
has
revolutionized
numerous
fields,
education
is
one
of
the
most
benefited.
Technologies
like
Chat
GPT
have
marked
a
before
and
after
in
evolution
AI,
providing
tools
to
automate
repetitive
tasks,
allowing
educators
dedicate
more
time
students.
In
addition
optimizing
resource
management,
AI
personalizes
through
advanced
algorithms
data
analysis,
adapting
resources
methodologies
individual
needs
each
student.
This
facilitates
learning,
promotes
inclusion
offers
effective
education,
especially
for
people
with
disabilities
or
diverse
learning
styles.
this
article,
bibliometric
review
was
carried
out
on
relationship
between
education.
The
essential
requirements
search
were
scientific
texts
published
last
five
years
(2020-2024)
be
found
Scopus
Web
Science
databases,
fundamentally.
opens
new
perspectives
educational
research,
allows
detailed
analysis
large
volumes
can
identify
previously
undetected
areas
improvement
Язык: Английский
Systematically Visualizing ChatGPT Used in Higher Education: Publication Trend, Disciplinary Domains, Research Themes, Adoption and Acceptance
Computers and Education Artificial Intelligence,
Год журнала:
2024,
Номер
unknown, С. 100336 - 100336
Опубликована: Дек. 1, 2024
Язык: Английский
Revolutionising education: In the midst of the COVID-19 crisis and its global implications, China pioneers online learning strategies
Ming Lojunt,
Shanshan lie Lie,
F. Li
и другие.
Advances Educational Innovation.,
Год журнала:
2024,
Номер
1(2), С. 52 - 63
Опубликована: Ноя. 10, 2024
Objective:
This
study
investigates
the
effectiveness
and
global
implications
of
China's
innovative
online
education
strategies
implemented
during
COVID-19
pandemic,
with
a
focus
on
academic
performance,
engagement,
equity
in
learning
outcomes.Methods:
A
quasi-experimental
design
was
employed,
utilizing
data
from
700
undergraduate
students
Wuhan,
China,
collected
2019
to
2024.
Statistical
analyses,
including
paired
t-tests
regression
models,
were
conducted
evaluate
differences
performance
across
demographic
groups
assess
correlation
between
engagement
levels
outcomes.Results:
The
findings
revealed
that
large-scale
initiatives
significantly
enhanced
especially
among
urban
students.
However,
challenges
such
as
digital
divide
persisted,
disproportionately
affecting
rural
learners.
These
insights
emphasize
importance
equitable
resource
distribution
education.Novelty:
research
provides
unique
perspective
rapid
adaptation
educational
systems
crisis,
highlighting
unprecedented
efforts
maintain
continuity.
It
identifies
both
strengths
limitations
learning,
offering
solutions
for
bridging
gaps
education.Theory
Policy
Implications:
results
validate
key
theoretical
frameworks,
Technology
Acceptance
Model
Engagement
Theory,
while
providing
actionable
recommendations
policymakers.
include
enhancing
infrastructure,
improving
accessibility,
fostering
sustainable
models
globally
Язык: Английский