Computers,
Год журнала:
2025,
Номер
14(2), С. 68 - 68
Опубликована: Фев. 14, 2025
This
article
provides
a
comprehensive
analysis
of
the
research
dynamics
on
use
Educational
Data
Mining
(EDM)
and
predictive
modeling
(PM)
in
era
Artificial
Intelligence
(AI)
based
review
793
articles
published
between
2000
2024
Scopus
database.
The
study
employs
bibliometric
systematic
literature
to
identify
emerging
trends,
methodologies,
applications
these
fields.
main
objective
is
examine
primary
methodologies
innovations
within
AI,
especially
context
EDM
PM.
It
highlights
how
technologies
can
optimize
prediction
student
performance,
support
personalized
learning,
enable
timely
interventions
through
data.
also
examines
role
AI
improving
teaching
practices,
ensuring
that
educators
maintain
control
over
system
minimize
potential
biases.
Furthermore,
addresses
ethical
implications
implementation
education,
such
as
privacy
protection,
algorithm
transparency,
equity
access
learning.
findings
suggest
has
significantly
improve
educational
outcomes
tracking,
resource
allocation,
overall
effectiveness
institutions.
responsible
education
emphasized
ensure
inclusive
fair
environments
for
all
students.
International Journal of Educational Technology in Higher Education,
Год журнала:
2025,
Номер
22(1)
Опубликована: Фев. 9, 2025
Abstract
This
paper
presents
a
systematic
review
of
the
role
prompt
engineering
during
interactions
with
Generative
Artificial
Intelligence
(GenAI)
in
Higher
Education
(HE)
to
discover
potential
methods
improving
educational
outcomes.
Drawing
on
comprehensive
search
academic
databases
and
relevant
literature,
key
trends,
including
multiple
framework
designs,
are
presented
explored
role,
relevance,
applicability
purposefully
improve
GenAI-generated
responses
higher
education
contexts.
Multiple
experiments
using
variety
frameworks
compared,
contrasted
discussed.
Analysis
reveals
that
well-designed
prompts
have
transform
GenAI
teaching
learning.
Further
findings
show
it
is
important
develop
teach
pragmatic
skills
AI
interaction,
meaningful
engineering,
which
best
managed
through
for
creating
evaluating
applications
aligned
pre-determined
contextual
goals.
The
outlines
some
concepts
educators
should
be
aware
when
incorporating
into
their
practices,
students
necessary
successful
interaction.
Scientific Reports,
Год журнала:
2024,
Номер
14(1)
Опубликована: Авг. 5, 2024
The
emergence
of
ChatGPT
has
significantly
impacted
the
field
education.
While
much
existing
research
predominantly
examined
theoretical
implications
ChatGPT,
there
is
a
notable
absence
empirical
studies
substantiating
these
claims.
As
pivotal
stakeholders
in
education
and
primary
users
exploring
willingness
influencing
factors
higher
students
to
use
can
offer
valuable
insights
into
real-world
needs
student
users.
This,
turn,
serve
as
foundation
for
empowering
with
intelligent
technologies
future.
This
study
focuses
specifically
on
demographic
Chinese
who
have
utilized
ChatGPT.
Using
semi-structured
interviews
grounded
theory
methodology,
we
aim
comprehensively
understand
extent
which
embrace
new
technologies.
Our
objective
elucidate
behavioral
inclinations
findings
this
will
contribute
practical
refining
policy
frameworks,
expanding
dissemination
quality
resources,
optimizing
upgrading
products
an
enhanced
user
experience,
fostering
higher-order
thinking
skills
adeptly
navigate
evolving
technological
landscapes.
In
conclusion,
endeavors
bridge
gap
between
discussions
applications.
Journal of Educational Computing Research,
Год журнала:
2024,
Номер
62(5), С. 1234 - 1266
Опубликована: Апрель 1, 2024
The
emergence
of
Generative
Artificial
Intelligence
(GAI)
has
caused
significant
disruption
to
the
traditional
educational
teaching
ecosystem.
GAI
possesses
remarkable
capabilities
in
generating
human-like
text
and
boasts
an
extensive
knowledge
repository,
thereby
paving
way
for
potential
collaboration
with
humans.
However,
current
research
on
collaborating
within
context
remains
insufficient
methods
are
relatively
limited.
This
study
aims
utilize
such
as
Lag
Sequential
Analysis
(LSA)
Epistemic
Network
(ENA)
unveil
“black
box”
human-machine
collaborative
process.
In
this
research,
22
students
engaged
tasks
refine
instructional
design
schemes
authentic
classroom
setting.
results
show
that
participants
significantly
improved
quality
design.
Leveraging
improvement
demonstrated
students’
performance,
we
categorized
them
into
high-
low-performance
groups.
Through
analysis
learning
behavior,
it
was
observed
high-performance
group
adhered
a
structured
content
application
framework:
“generate
→
monitor
apply
evaluate.”
Moreover,
they
adeptly
employed
communication
strategies
emphasizing
exercising
cognitive
agency
actively
cultivating
environment.
conclusions
drawn
from
may
serve
reference
series
practical
applications
provide
directions
subsequent
studies.
International Journal For Multidisciplinary Research,
Год журнала:
2024,
Номер
6(3)
Опубликована: Май 4, 2024
This
integrative
literature
review
analyzes
how
AI,
specifically
Machine
Learning
(ML)
and
Large
Language
Models
(LLMs),
is
used
in
Moroccan
education.
The
study
emphasizes
the
significance
of
modernizing
traditional
educational
techniques.
It
investigates
artificial
intelligence
may
personalize
learning
experiences,
minimize
disparities,
foster
a
culturally
diverse
technologically
sophisticated
environment.
ILR
uses
conceptual
framework
that
highlights
customized
learning,
equitable
education,
technological
innovation,
systematic
methodology
incorporates
extensive
synthesis.
research
process
thoroughly
examines
multiple
academic
sources,
including
peer-reviewed
articles,
books,
conference
papers,
reports.
identifies
relevant
patterns,
barriers,
opportunities
associated
with
integrating
AI
education
by
carefully
studying
synthesizing
data.
findings
demonstrate
enormous
potential
ML
LLMs
revolutionizing
teaching
methods,
encouraging
active
student
participation,
closing
inequalities
across
Morocco.
paper
finishes
underlining
need
to
incorporate
into
practice
identifying
areas
for
future
research.
investigating
help
Morocco
other
countries
modernize
their
systems.
Nursing and Health Sciences,
Год журнала:
2025,
Номер
27(1)
Опубликована: Янв. 11, 2025
ABSTRACT
The
widespread
adoption
of
artificial
intelligence
(AI)
tools
in
academic
settings
has
the
potential
to
revolutionize
learning
experiences,
enhance
educational
outcomes,
and
streamline
processes.
aim
this
research
was
explore
perceptions
Lebanese
health
sciences
students
regarding
use
generative
AI
higher
education.
A
qualitative
descriptive
design
informed
by
phenomenology
employed.
Semi‐structured
interviews
were
carried
out
among
23
at
one
major
private
university
Beirut.
Inductive
thematic
analysis
conducted
over
period
3
months.
inductive
generated
two
themes,
eight
subthemes
highlighting
benefits
concerns
using
AI;
customized,
self‐paced,
autonomous
learning,
improved
language
writing
skills,
development
innovative
concepts,
enhanced
efficiency,
accuracy
information,
overreliance
on
AI,
equitable
access,
unclear
policies.
Results
from
study
emphasized
importance
combined
efforts
across
sectors
close
access
gaps,
encourage
inclusiveness,
develop
well
framed
policies
that
enable
utilize
these
new
technologies
for
their
maximum
benefits.
Advances in finance, accounting, and economics book series,
Год журнала:
2025,
Номер
unknown, С. 395 - 414
Опубликована: Янв. 14, 2025
The
incorporation
of
digital
technology
into
the
educational
sector
marks
remarkable
change
in
how
teaching
and
learning
systems
are
operational
today.
present
study
targets
to
scrutinize
AI
tools,
like
virtual
education
platforms
smart
systems,
significantly
influence
students'
understanding
attainment.
findings
point
out
that
artificial
intelligence
(AI)
tools
could
lead
a
noteworthy
revolution
schooling
by
supporting
transformation
journeys,
thereby
enlightening
their
professions
overall
academic
realization.
In
conclusion,
it's
essential
be
familiar
with
aspects
such
ethical
concerns,
as
approaches,
technological
restrictions
when
incorporating
environments,
illustrated
study.
