International Journal on Recent and Innovation Trends in Computing and Communication,
Journal Year:
2023,
Volume and Issue:
11(9), P. 2085 - 2089
Published: Nov. 5, 2023
The
primary
goal
of
this
research
is
to
establish
a
methodology
that
gives
significant
weight
an
expert's
qualifications
and
experience
in
the
expertise
ranking
process.
This
aims
enhance
effectiveness
expert
identification
by
taking
into
account
background
credentials,
thus
yielding
more
realistic
rankings.
To
achieve
this,
we
incorporate
details
evaluation
process
assigning
assumed
values,
which
are
then
integrated
with
their
level.
These
combined
factors
subsequently
utilized
as
inputs
for
multiple
regression
analysis
generate
optimal
experts.
By
emphasizing
significance
process,
can
significantly
improve
precision
our
mechanism.
Our
approach
employs
identify
most
suitable
subject
user
query
transformation.
Electronics,
Journal Year:
2024,
Volume and Issue:
13(18), P. 3762 - 3762
Published: Sept. 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.
IEEE Access,
Journal Year:
2024,
Volume and Issue:
12, P. 34019 - 34041
Published: Jan. 1, 2024
This
review
delves
into
using
e-learning
technology
and
personalized
recommendation
systems
in
education.
It
examines
60
articles
from
prominent
databases
identifies
the
different
methods
used
systems,
such
as
collaborative
content-based
approaches
with
a
recent
shift
towards
machine
learning.
However,
current
system
faces
challenges
lack
of
understanding
content,
student
discontinuity,
language
barriers,
confusion
selecting
study
materials,
inadequate
infrastructure
funding.
The
proposes
new
digital
technologies
to
address
these
issues,
including
Fluxy
AI,
Twin
technology,
AI-powered
virtual
proctoring,
Alter
Ego.
These
can
create
dynamic
interactive
learning
environment,
providing
tailored
experiences
for
students
insights
educators
provide
targeted
support
guidance.
integration
improve
individualized
learning,
increase
capacity
enhance
experience
speech
disorders.
Trends in Higher Education,
Journal Year:
2025,
Volume and Issue:
4(2), P. 17 - 17
Published: March 26, 2025
The
integration
of
artificial
intelligence
in
education
has
the
potential
to
revolutionize
personalized
learning
by
adapting
instructional
methods,
content,
and
pace
individual
needs
students.
This
systematic
review
investigates
into
within
higher
education.
An
extensive
literature
search
was
conducted
across
multiple
databases,
yielding
17,899
records
from
which
45
studies
met
inclusion
criteria.
risk
bias
assessed
using
a
standardized
ranking
system.
follows
PRISMA
guidelines
ensure
transparency
study
selection,
data
extraction,
synthesis.
findings
are
synthesized
examine
how
AI-driven
solutions
enhance
adaptive
learning,
improve
student
engagement,
streamline
administrative
processes.
results
indicate
that
AI
technologies
can
significantly
optimize
educational
outcomes
tailoring
content
feedback
learner
needs.
However,
several
challenges
persist,
such
as
ethical
concerns,
privacy
issues,
necessity
for
effective
teacher
training
support
technology
integration.
analysis
reveals
considerable
transform
practices,
while
also
emphasizing
importance
establishing
evaluation
frameworks
conducting
longitudinal
studies.
implications
these
critical
educators,
policymakers,
university
administrators
aiming
leverage
innovation
sustainable
transformation.
Advances in computational intelligence and robotics book series,
Journal Year:
2025,
Volume and Issue:
unknown, P. 387 - 410
Published: March 13, 2025
This
chapter
delves
into
the
transformative
impact
of
generative
AI
on
personalized
STEAM
education.
It
explores
how
technologies
are
integrated
education
to
deliver
learning
experiences
that
cater
individual
student
needs.
The
benefits
highlighted,
including
enhanced
engagement,
improved
outcomes,
greater
accessibility,
and
stimulation
creativity
innovation.
also
examines
challenges
deploying
in
education,
such
as
resource
limitations,
data
privacy
concerns,
algorithmic
biases,
need
for
educator
training.
Future
trends
explored,
focusing
advancements
AI-driven
virtual
classrooms,
adaptive
technologies,
ethical
considerations.
By
harnessing
AI,
can
be
scaled
a
broader
audience,
delivering
equitable,
high-quality
prepare
students
complexities
contemporary
society.
Abstract
Generative
AI
in
financial
analytics
is
increasingly
vital
for
interpreting
vast,
complex
datasets
to
guide
strategic
decisions
dynamic,
real-time
markets,
yet
its
technical
complexity
often
limits
non-expert
engagement.
Traditional
methods,
rooted
structured
query
language
(SQL),
depend
heavily
on
specialized
expertise,
restricting
access
business
analysts
and
decision-makers
lacking
programming
skills.
These
conventional
systems
achieve
75
percent
80
accuracy
simple
queries
but
falter
significantly
with
complex,
nested
conditions
or
multi-operator
logic,
diminishing
their
utility
today’s
fast-paced
landscape.
We
present
Kestrel
AI,
a
pioneering
algorithm
harnessing
advanced
Natural
Language
Processing
(NLP)
Retrieval-Augmented
Generation
(RAG)
convert
natural
into
precise
SQL
commands
insightful
visualizations.
With
modular,
scalable
architecture
HighChart
integration,
delivers
an
outstanding
92
average
accuracy,
substantially
outperforming
traditional
approaches
across
diverse
types,
from
basic
intricate.
Experimental
validation
shows
execution
times
averaging
0.3
seconds,
highlighting
speed
efficiency,
while
user
studies
reveal
85
of
participants,
spanning
seasoned
complete
novices,
commend
intuitive
interface
rapid
insight
delivery.
The
system
adeptly
processes
unstructured
data,
allowing
users
blend
thorough
analysis,
adapts
seamlessly
market
shifts.
By
simplifying
data
interactions
enhancing
access,
fosters
inclusive,
data-driven
decision-making
contexts.
This
work
sets
new
standard
generative
AI-driven
analytics,
offering
transformative
tool
investment
research,
organizational
collaboration
that
bridges
barriers
user-friendly
design.
Health Technologies,
Journal Year:
2025,
Volume and Issue:
3(1), P. 26 - 35
Published: Feb. 27, 2025
Background
and
purpose
The
aim
of
this
research
is
to
investigate
the
effectiveness
various
technologies
in
facilitating
physical
education
for
university
students
online
learning
environments,
addressing
key
issue
how
digital
tools
can
enhance
engagement
activity
levels
among
who
are
traditionally
accustomed
in-person
instruction;
thoroughly
address
problem,
qualitative
data
from
student
feedback
quantitative
on
outcomes
will
be
required.
This
article
investigates
within
crucial
instruction.
Material
methods
We
analyzed
sources
scientific
literature
problem
teaching
exercises
using
four
leading
databases:
Scopus,
Web
Science,
PubMed,
Google
scholar.
used
EQUATOR
network
(Enhancing
QUAlity
Transparency
Of
health
Research)
recommendations
select
empirical
studies
PRISMA
theoretical
papers
(systematic
reviews
meta-analyses).
analysis
was
conducted
following
keywords:
education,
students,
online,
teaching,
technologies.
total
number
provided
by
databases
topic
4782.
At
next
stage,
we
selected
most
suitable
works
topic.
inclusion
criteria
our
systematic
review
were:
1
-
a
match
at
least
two
keywords,
2
randomized
control
with
determination
reliability
differences
between
groups,
3
diagnostic
studies.
excluding
that
only
assessment
parameters
under
study
without
data,
showed
percentage
changes
as
statistical
determining
differences,
relying
basic
conceptual
provisions.
Through
mixed-methods
approach,
incorporating
analyses
outcomes,
reveals
specific
technologies,
such
interactive
fitness
applications
virtual
reality
platforms,
significantly
improve
both
students'
their
levels.
Results
Notably,
findings
indicate
personalized
adaptive
experiences
foster
sense
community
motivation,
which
often
lacking
educational
settings.
implications
these
profound
context
healthcare,
increasing
may
contribute
improved
overall
reduced
disparities.
underscores
necessity
integrating
innovative
technological
solutions
into
curricula
promote
better
practices
young
adults.
Conclusions
By
identifying
effective
strategies
enhancing
contributes
valuable
insights
fields
promotion,
public
health,
suggesting
leveraging
play
pivotal
role
cultivating
more
physically
active
generation,
even
face
evolving
modalities.