Each
person
has
their
own
characteristics
in
learning
process,
such
as
background,
experiences,
interests,
and
goals,
well
specific
traits
related
to
age,
style,
motivation
learn.
Characteristics
that
are
recovered
structured
a
learner
model,
adapt
the
needs
of
learners.
Thus,
this
paper
presents
first
approximation
design
an
adaptive
system
uses
model
non-literate
older
adult,
offer
different
types
adaptation
contents;
by
levels
abilities,
activities,
resources,
scaffolding,
routes,
environment;
is
deployed
through
m-learning
application,
using
mobile
devices
cell
phones,
facilitating
literacy
adults.
Electronics,
Год журнала:
2024,
Номер
13(18), С. 3762 - 3762
Опубликована: Сен. 22, 2024
This
paper
reviews
the
literature
on
integrating
AI
in
e-learning,
from
viewpoint
of
cognitive
neuropsychology,
for
Personalized
Learning
(PL)
and
Adaptive
Assessment
(AA).
review
follows
PRISMA
systematic
methodology
synthesizes
results
85
studies
that
were
selected
an
initial
pool
818
records
across
several
databases.
The
indicate
can
improve
students’
performance,
engagement,
motivation;
at
same
time,
some
challenges
like
bias
discrimination
should
be
noted.
covers
historic
development
education,
its
theoretical
grounding,
practical
applications
within
PL
AA
with
high
promise
ethical
issues
AI-powered
educational
systems.
Future
directions
are
empirical
validation
effectiveness
equity,
algorithms
reduce
bias,
exploration
implications
regarding
data
privacy.
identifies
transformative
potential
developing
personalized
adaptive
learning
(AL)
environments,
thus,
it
advocates
continued
as
a
means
to
outcomes.
British Journal of Educational Technology,
Год журнала:
2024,
Номер
55(4), С. 1398 - 1436
Опубликована: Апрель 9, 2024
Abstract
Adaptive
learning
technologies
are
closely
related
to
learners'
self‐regulatory
processes
in
individual
and
collaborative
learning.
This
study
presents
the
outcomes
of
a
systematic
literature
review
empirical
evidence
on
adaptive
environments
foster
self‐regulation
shared
regulation
settings.
We
provide
an
overview
what
how
have
been
used
understand
promote
self‐regulated
contexts.
A
search
resulted
38
papers
being
analysed.
Specifically,
we
identified
seven
main
objectives
(feedback
scaffolding,
skills
strategies,
trajectories,
processes,
adaptation
regulation,
self‐assessment,
help‐seeking
behaviour)
that
technology
research
has
focusing
on.
also
summarize
implications
derived
from
reviewed
frame
them
within
thematic
areas.
Finally,
this
stresses
future
should
consider
developing
converging
theoretical
framework
would
enable
concrete
monitoring
support
for
socially
Our
findings
set
baseline
adoption
proliferation
development.
Practitioner
notes
What
is
already
known
about
topic
By
providing
personalized
learner‐centric
(ADLEs),
can
(SRL)
practices.
It
possible
create
more
student‐centred
effective
environment
by
combining
Socially
regulatory
activities
involve
planning,
monitoring,
controlling
reflecting
group's
processes.
paper
adds
Provides
ADLEs,
SRL
(SSRL)
Summarizes
insights
(S)SRL
through
ADLEs
Identifies
challenges
opportunities
Implications
practice
and/or
policy
Learning
analytics
educational
researchers
will
be
able
use
as
guide
research.
practitioners
summary
field's
current
state.
Artificial Intelligence Review,
Год журнала:
2023,
Номер
56(12), С. 14907 - 14953
Опубликована: Июнь 14, 2023
Abstract
Online
learning
has
become
increasingly
important,
having
in
mind
the
latest
events,
imposed
isolation
measures
and
closed
schools
campuses.
Consequently,
teachers
students
need
to
embrace
digital
tools
platforms,
bridge
newly
established
physical
gap
between
them,
consume
education
various
new
ways.
Although
literature
indicates
that
development
of
intelligent
techniques
must
be
incorporated
e-learning
systems
make
them
more
effective,
exists
for
research
on
how
these
impact
whole
process
online
learning,
they
affect
learners’
performance.
This
paper
aims
provide
comprehensive
innovations
e-learning,
present
a
review
used
explore
their
potential
benefits.
presents
categorization
techniques,
explores
roles
environments.
By
summarizing
state
art
area,
authors
outline
past
research,
highlight
its
gaps,
indicate
important
implications
practice.
The
goal
is
understand
better
available
implementation
application
context,
improving
education.
Finally,
concludes
AI-supported
solutions
not
only
can
support
learner
teacher,
by
recommending
resources
grading
submissions,
but
offer
fully
personalized
experience.
Advances in educational technologies and instructional design book series,
Год журнала:
2025,
Номер
unknown, С. 187 - 238
Опубликована: Янв. 17, 2025
This
study
introduces
the
gamification
training
solutions
framework
(GTSF),
developed
using
design-based
research
(DBR),
to
address
corporate
challenges.
Integrating
self-determination
theory,
flow
and
zone
of
proximal
development,
GTSF
enhances
engagement
learning
outcomes.
Refined
through
GTSF's
seven
phases
aligned
with
DBR
principles
702
participants
eight
trainers,
it
achieved
a
98%
effectiveness
rating
97%
recommendation
rate,
demonstrating
cultural
adaptability
in
Malaysia.
Ethical
considerations
like
data
privacy
inclusivity
are
emphasized
discussions,
future
enhancements
exploring
artificial
intelligence
(AI)
virtual
reality
(VR)
for
scalability
personalization.
Bridging
theory
practice,
offers
strong
gamified
training,
on
its
long-term
business
impacts
global
recommended.
EDUCATION SCIENCES AND SOCIETY,
Год журнала:
2025,
Номер
2, С. 298 - 313
Опубликована: Янв. 1, 2025
Digital
Transformation
in
Education
increasingly
provides
innovative
and
effective
opportunities
to
reshape
traditional
educational
paradigms,
supporting
complex
ecological
systems
promoting
a
teaching
approach
that
effectively
responds
adapts
students'
needs.
This
paper
illustrates
possible
challenges
future
perspectives
for
Virtual
Reality,
Eduverse
Artificial
Intelligence
through
the
implementation
of
3D
Worlds
integrated
with
Intelligent
Tutoring
Systems
as
learning
tools
promote
sustainability
education.
These
may
represent
new
paradigm
capable
processes,
acting
on
motivation,
enhancing
digital
soft
skills
life
skills,
improving
outcomes
from
perspective
adaptive
learning.
Frontiers in Digital Health,
Год журнала:
2025,
Номер
7
Опубликована: Май 15, 2025
Introduction
The
impact
of
personalization
on
user
engagement
and
adherence
in
digital
mental
health
interventions
(DMHIs)
has
been
widely
explored.
However,
there
is
a
lack
clarity
regarding
the
prevalence
its
application,
as
well
dimensions
mechanisms
within
DMHIs
for
adolescents
youth.
Methods
To
understand
how
applied
young
people,
scoping
review
was
conducted.
Empirical
studies
youth
with
depression
anxiety,
published
between
2013
July
2024,
were
extracted
from
PubMed
Scopus.
A
total
67
included
review.
Additionally,
we
expanded
an
existing
framework,
which
originally
classified
into
four
(content,
order,
guidance,
communication)
(user
choice,
provider
rule-based,
machine
learning),
by
incorporating
non-therapeutic
elements.
Results
adapted
framework
includes
therapeutic
content,
communication,
interfaces
(customization
visual
or
interactive
components),
interactivity
(personalization
preferences),
while
retaining
original
mechanisms.
Half
studied
used
only
one
dimension
(51%),
more
than
two-thirds
mechanism.
This
found
that
content
(51%
interventions)
(25%)
favored.
User
choice
most
prevalent
mechanism,
present
60%
interventions.
learning
employed
substantial
number
cases
(30%),
but
no
instances
generative
artificial
intelligence
(AI)
among
studies.
Discussion
findings
suggest
although
elements
are
reported
articles,
their
younger
people's
experience
to
protocols
not
thoroughly
addressed.
Future
may
benefit
AI,
adhering
standard
clinical
research
practices,
further
personalize
experiences.
IEEE Access,
Год журнала:
2023,
Номер
11, С. 70912 - 70929
Опубликована: Янв. 1, 2023
Learner
engagement
is
a
critical
concept
that
can
lead
to
satisfaction,
motivation,
and
success
in
e-learning
courses.
It
covers
contextual,
emotional,
behavioral,
cognitive,
social
aspects.
The
instructors
have
difficulties
identifying
who
involved
the
courses
lack
of
face-to-face
interaction
with
learning
resource
act
upon
reduce
dropout
rate.
This
paper
presents
novel
approach
aims
predict
learner
online
quantify
relationship
between
learners’
their
engagement.
For
this
purpose,
we
used
traces
gathered
from
1
356
reactions
during
winters
2020,
2021,
2022,
implement
approach.
To
model
engagement,
variety
features
were
considered
such
as
total
number
posts
made
forums
time
spent
on
platform.
study
uses
BiLSTM
method
FastText
word
embedding
detect
emotions
forum
discussions.
Then,
an
unsupervised
clustering
technique
based
new
dataset
was
cluster
learners
into
groups
according
level.
Several
supervised
classification
algorithms
trained
performance
evaluated
using
cross-validation
techniques
diverse
precision
metrics.
findings
indicate
decision
tree
rule
more
relevant
than
others,
accuracy
98%
AUC
score
0.97.
conclusions
research
reveal
most
are
observers
there
nonlinear
correlation
Technology Knowledge and Learning,
Год журнала:
2024,
Номер
unknown
Опубликована: Июнь 13, 2024
Abstract
Although
much
research
has
focused
on
factors
that
contribute
to
effective
online
education
in
higher
(HE),
insights
remain
scattered.
In
this
study,
we
provide
a
more
holistic
perspective
how
facilitate
HE
by
concurrently
examining
were
hitherto
treated
separately.
our
meta-review,
synthesized
from
47
literature
reviews
and
meta-analyses
published
between
2010
2022
concerning
HE.
Factors
identified
at
the
level
of
course
(i.e.,
clear
structure;
challenging,
authentic,
inclusive
learning
activities;
high-quality
interaction;
multiple
assessment
formats),
student
high
self-regulation
skills,
sufficient
digital
literacy,
positive
attitude
towards
education),
teacher
teaching
competences
professional
development
opportunities),
institution
an
institution-wide
vision
education,
adequate
technological
infrastructure,
accommodating
support).
Further
is
needed
better
understand
these
may
interact
with
each
other.
International Journal of Emerging Technologies in Learning (iJET),
Год журнала:
2023,
Номер
18(05), С. 161 - 174
Опубликована: Март 7, 2023
Exploring
the
influence
of
positive
learning
emotion
on
college
students'
classroom
effect
facilitates
fully
understanding
online
and
emotional
state,
is
beneficial
to
improving
quality
teachers'
teaching
quality.
At
present,
few
scholars
have
summative
evaluation
from
perspective
emotions
prove
theory
practice
that
good
state
an
important
influencing
factor
improve
effect.
Therefore,
this
article
considers
emotion,
makes
a
research
prediction
Firstly,
defines
behavior
data
students
in
process
based
emotions,
studies
correlation
between
behaviors
Hawkes
process.
Then,
participation
under
different
quantified,
model
constructed
by
combining
sequence
analysis
results
represented
characteristic
information
themselves
courses.
The
experimental
verify
effectiveness
model,
significance
test
confirm
