Smart Learning Environments,
Год журнала:
2024,
Номер
11(1)
Опубликована: Дек. 9, 2024
Abstract
Despite
the
increased
adoption
of
Artificial
Intelligence
in
Education
(AIED),
several
concerns
are
still
associated
with
it.
This
has
motivated
researchers
to
conduct
(systematic)
reviews
aiming
at
synthesizing
AIED
findings
literature.
However,
these
diversified
terms
focus,
stakeholders,
educational
level
and
region,
so
on.
made
understanding
overall
landscape
challenging.
To
address
this
research
gap,
study
proceeds
one
step
forward
by
systematically
meta-synthesizing
literature
reviews.
Specifically,
143
were
included
analyzed
according
technology-based
learning
model.
It
is
worth
noting
that
most
been
from
China
U.S.
Additionally,
when
discussing
AIED,
strong
focus
was
on
higher
education,
where
less
attention
paid
special
education.
The
results
also
reveal
AI
used
mostly
support
teachers
students
education
other
stakeholders
(e.g.
school
leaders
or
administrators).
provides
a
possible
roadmap
for
future
agenda
facilitating
implementation
effective
safe
AIED.
Artificial intelligence,
Год журнала:
2024,
Номер
unknown
Опубликована: Апрель 3, 2024
This
conceptual
chapter
discusses
how
requirements
for
teacher
educator
professionalism
may
be
impacted
by
the
integration
of
Artificial
Intelligence
(AI)
in
education.
With
aim
to
continuously
facilitate
high-quality
education,
education
institutions
must
evolve
alignment
with
rapidly
changing
landscape
AI
and
respective
shifting
educational
needs.
Amidst
this
evolution,
we
argue
that
profound
Literacy
AI-related
ethical
knowledge
constitute
two
additional
inextricably
intertwined
facets
essential
an
effective
into
teaching
practices
–
thus
crucial
high
quality
The
paper
explores
avenues
through
which
these
professional
competence
can
fostered
on
micro,
meso
macro
levels
institutional
By
consolidating
specific
a
framework
age
AI,
highlight
necessity
continuous
adaptation
institutions,
ongoing
multidisciplinary
collaboration,
provision
periodic
development
educators.
Finally,
presents
concrete
practical
example
future
research
directions
contribute
advancement
era.
International Journal of Human-Computer Interaction,
Год журнала:
2024,
Номер
unknown, С. 1 - 22
Опубликована: Июнь 7, 2024
Artificial
intelligence
generates
vibrant
characters,
encompassing
teachers,
peer
students,
and
advisors
within
diverse
educational
media.
However,
the
impact
of
perceived
embodiment
such
characters
in
language
learning
videos
on
students'
technology
acceptance
adoption
is
unclear.
Integrating
structural
equation
modeling
into
thematic
analysis,
this
study
analyzes
1042
valid
responses
from
higher
education
students
to
bridge
research
gap.
Our
reveals
that
four
subdimensions
(human-likeness,
credibility,
facilitation,
engagement)
significantly
positively
predict
higher-education
ease
use
usefulness
artificial
intelligence-generated
virtual
teachers
videos.
Notably,
an
exception
arises,
as
human-likeness
does
not
our
context.
Students'
systemic
interactivity
process
emerge
pivotal
mediators.
The
qualitative
analysis
identifies
concerns
about
classroom
administration,
developmental
support,
technical
issues,
deprived
interpersonal
collaboration,
liberal
attainment
cultivation
with
teacher
presence.
This
can
illuminate
designs
applications
education.
International Journal of Educational Technology in Higher Education,
Год журнала:
2024,
Номер
21(1)
Опубликована: Окт. 16, 2024
Abstract
Faculty
perspectives
on
the
use
of
artificial
intelligence
(AI)
in
higher
education
are
crucial
for
AI’s
meaningful
integration
into
teaching
and
learning,
yet
research
is
scarce.
This
paper
presents
a
study
designed
to
gain
insight
faculty
members’
(
N
=
122)
AI
self-efficacy
distinct
latent
profiles,
perceived
benefits,
challenges,
use,
professional
development
needs
related
AI.
The
respondents
saw
greater
equity
as
greatest
benefit,
while
students
lack
literacy
was
among
with
majority
interested
development.
Latent
class
analysis
revealed
four
member
profiles:
optimistic,
critical,
critically
reflected,
neutral.
optimistic
profile
moderates
relationship
between
usage.
adequate
support
services
suggested
successful
sustainable
digital
transformation.
European Journal of Contemporary Education and E-Learning,
Год журнала:
2024,
Номер
2(3), С. 27 - 43
Опубликована: Май 1, 2024
The
purpose
of
this
study
is
to
serve
as
the
central
notion
that
whole
research
endeavour
revolves
around.
It
provides
a
framework
for
examining
potential
applications
artificial
intelligence
(AI)
teachers
operating
in
field
scientific
education.
A
clear
an
in-depth
analysis
tries
shed
light
on
opportunities
and
challenges
associated
with
use
AI
technology
primary
education
provided
by
thesis
statement,
which
specifies
well
scope
investigation.
project's
objective
broaden
existing
body
knowledge
provide
insights
into
ways
educators
might
make
technologies
are
powered
enhance
instructional
techniques
they
outcomes
student
learning.
In
order
do
this,
well-prepared
statement
will
ideally
be
used.
Smart Learning Environments,
Год журнала:
2025,
Номер
12(1)
Опубликована: Янв. 3, 2025
Abstract
This
review
was
conducted
in
order
to
determine
the
specific
role
of
intelligent
technologies
individual
learning
experience.
The
research
work
included
consider
articles
published
between
2014
and
2024,
found
Web
Science,
Scopus,
ERIC
databases,
selected
among
933
мarticles
on
topic.
Materials
were
checked
for
compliance
with
criteria
headings,
annotations
full
texts
then
further
analyzed.
study
includes
38
that
based
a
rigorous
evaluation
selection
process
accordance
PRISMA
methodology
AMSTAR2
critical
assessment
strategy.
As
result
analysis,
it
scope
application
education
is
diverse,
results
this
topic
are
heterogeneous.
article
identifies
aspects
effective
use
education,
emerging
difficulties
limitations,
as
well
provides
examples
successful
implementation
various
educational
institutions.
Although
there
advantages
using
smart
general,
we
should
not
ignore
what
needs
be
considered.
On
point,
presents
arise
when
ways
prevent
them.
Information Development,
Год журнала:
2025,
Номер
unknown
Опубликована: Янв. 17, 2025
Scant
information
exists
about
how
AI
with
its
different
technologies
might
affect
learning
achievement
in
educational
fields
across
levels
and
geographical
distributions
of
students.
Closing
this
gap
can
therefore
help
stakeholders
understand
under
which
conditions
artificial
intelligence
education
(AIEd)
work
or
not,
hence
achieving
better
achievement.
To
address
research
gap,
study
conducted
a
meta-analysis
synthesis
the
effects
application
on
students’
Additionally,
one
step
forward
to
analyze
field
education,
level
mode,
intervention
duration,
distribution
as
moderating
variables
effect
AIEd.
The
Hedges’
g
was
computed
for
sizes,
where
85
quantitative
studies
(
N
=
10,469
participants)
were
coded
analyzed.
results
indicated
that
total
AIEd
is
very
large
1.10,
p
<
0.001).
Particularly,
chatbots
achieved
effect,
while
Intelligent
Tutoring
Systems
(ITS)
personalized
systems
had
effects.
also
show
moderated
by
findings
be
useful
both
researchers
practitioners
they
highlight
when
integration
effective,
being
beneficial
enhance
Review of Education,
Год журнала:
2025,
Номер
13(1)
Опубликована: Янв. 21, 2025
Abstract
More
and
more
systematic
reviews
(SRs)
are
being
published
in
the
educational
sciences.
This
umbrella
mapping
review
examines
576
SRs
between
2018
2022
field
of
open,
distance,
digital
education
(ODDE)
to
investigate
publication
authorship
patterns
evaluate
quality
these
SRs.
A
index
score
was
calculated
for
each
included
study
based
on
PRISMA
reporting
items
(including
elements
such
as
search
strategy,
eligibility
criteria,
protocol
registration,
appraisal,
interrater
reliability,
etc.).
Almost
many
were
previous
four
years
most
rigorous
come
from
medical
education.
However,
results
show
that
there
is
room
improvement
ODDE.
content
analysis
explored
thematic
scope
showed
majority
addressed
topics
related
learning
design,
AI
education,
effectiveness
online
teaching
interventions.
Research
during
this
time
period
strongly
influenced
by
experiences
with
COVID‐19
pandemic.
The
should
help
improve
towards
reproducible
Context
implications
Rationale
study:
Open,
Distance,
Digital
Education
transition
an
warranted
given
dynamic
growth
literature.
Why
new
findings
matter:
limits
reproducibility
validity
presented
research
evidence—the
present
appraisal
call
Implications
researchers
:
Conducting
a
fruitful
exercise
individual
institutions
gain
solid
overview
topic.
must
be
trained
appropriate
methodology
valid.
practitioners
policy‐makers
Systematic
can
valuable
source
inform
practice
policy‐making.
attention
paid
reviews;
if
method
not
carried
out
accurately,
interpreted
caution.
Journal
editors:
As
gatekeepers
responsible
ensuring
journal
quality,
editors
invite
experts
SR
members
editorial
team
handle
peer‐review
process
submissions.
It
guaranteed
only
methodologically
sound
published.
