Proceedings of the AAAI Symposium Series,
Год журнала:
2024,
Номер
3(1), С. 297 - 303
Опубликована: Май 20, 2024
The
majority
of
current
research
on
the
application
artificial
intelligence
(AI)
and
machine
learning
(ML)
in
science,
technology,
engineering,
mathematics
(STEM)
education
relies
centralized
model
training
architectures.
Typically,
this
involves
pooling
data
at
a
location
alongside
an
ML
module,
such
as
cloud
server.
However,
approach
necessitates
transferring
student
across
network,
leading
to
privacy
concerns.
In
paper,
we
explore
federated
(FL),
highly
recognized
distributed
technique,
within
educational
ecosystem.
We
highlight
potential
benefits
FL
offers
students,
classrooms,
institutions.
Also,
identify
range
technical,
logistical,
ethical
challenges
that
impede
sustainable
implementation
sector.
Finally,
discuss
series
open
directions,
focusing
nuanced
aspects
contexts.
These
directions
aim
address
complexities
applying
varied
settings,
ensuring
its
deployment
is
technologically
sound,
beneficial,
equitable
for
all
stakeholders
involved.
Australasian Journal of Educational Technology,
Год журнала:
2023,
Номер
39(5), С. 1 - 19
Опубликована: Дек. 22, 2023
This
research
explored
the
potential
of
artificial
intelligence
(AI)-assisted
learning
using
ChatGPT
in
an
engineering
course
at
a
university
South-east
Asia.
The
study
investigated
benefits
and
challenges
that
students
may
encounter
when
utilising
ChatGPT-3.5
as
tool.
developed
AI-assisted
flow
empowers
learners
lecturers
to
integrate
into
their
teaching
processes.
was
subsequently
used
validate
assess
variety
exercises,
tutorial
tasks
assessment-like
questions
for
under
study.
Introducing
self-rating
system
allowed
facilitate
users
assessing
generative
responses.
findings
indicate
has
significant
assist
students;
however,
there
is
necessity
training
offering
guidance
on
effective
interactions
with
ChatGPT.
contributes
evidence
identifies
areas
future
refining
use
AI
tools
better
support
students'
educational
journey.
Implications
practice
or
policy
Educators
administrators
could
review
usage
technology
implications
higher
education.
Academics
adapt
modify
proposed
this
paper
suit
classroom.
Students
can
adopt
studies.
Researchers
follow
up
application
learning:
quality
student
experience,
academic
integrity
assessment
design.
European Journal of Education,
Год журнала:
2025,
Номер
60(1)
Опубликована: Янв. 7, 2025
ABSTRACT
Artificial
intelligence
(AI)
has
extensively
developed,
impacting
different
sectors
of
society,
including
higher
education,
and
attracted
the
attention
various
educational
stakeholders,
leading
to
a
growing
number
research
on
its
integration
into
education.
Hence,
this
systematic
literature
review
examines
impact
integrating
AI
tools
in
education
students'
personal
collaborative
learning
environments.
Analysis
148
articles
published
between
2021
2024
indicates
that
Tools
improve
personalised
assessments,
communication
engagement,
scaffolding
performance
motivation.
Additionally,
they
promote
environment
by
providing
peer‐learning
opportunities,
enhanced
learner‐content
interaction
cooperative
support.
Indeed,
strategies
such
as
skills
development,
ethical
use,
academic
integrity
instructional
content
design.
Acknowledged
limitations
include
considerations,
particularly
privacy
bias,
which
require
ongoing
attention.
it
is
recommended
create
good
balance
AI‐mediated
human
environments,
key
area
future
exploration.
Information,
Год журнала:
2024,
Номер
15(6), С. 345 - 345
Опубликована: Июнь 12, 2024
The
use
of
large
language
models
(LLMs)
is
now
spreading
in
several
areas
research
and
development.
This
work
concerned
with
systematically
reviewing
LLMs’
involvement
engineering
education.
Starting
from
a
general
question,
two
queries
were
used
to
select
370
papers
the
literature.
Filtering
them
through
inclusion/exclusion
criteria
led
selection
20
papers.
These
investigated
based
on
eight
dimensions
identify
disciplines
that
involve
LLMs,
where
they
are
most
present,
how
this
takes
place,
which
LLM-based
tools
used,
if
any.
Addressing
these
key
issues
allowed
three
more
specific
questions
be
answered,
offering
clear
overview
current
LLMs
outcomes
provide
insights
into
potential
challenges
transforming
education,
contributing
its
responsible
effective
future
implementation.
review’s
could
help
address
best
ways
education
activities
measure
their
effectiveness
as
time
progresses.
For
reason,
study
addresses
suggestions
improve
systematic
review
conforms
rules
literature
regarding
quality
assessments
order
make
results
objective
possible
easily
replicable.
Australasian Journal of Educational Technology,
Год журнала:
2023,
Номер
39(5), С. 1 - 7
Опубликована: Дек. 22, 2023
Generative
artificial
intelligence
(AI)
has
had
a
significant
impact
in
tertiary
education
for
practitioners
and
researchers
during
2023.
We
review
the
way
which
academics
have
made
sense
of
generative
AI,
revisit
our
proposed
research
agenda
reflect
on
changing
roles
as
relation
to
learning,
teaching,
design
policy.
Advances in computational intelligence and robotics book series,
Год журнала:
2025,
Номер
unknown, С. 295 - 326
Опубликована: Март 20, 2025
AI
has
recently
emerged
as
an
assistive
tool
in
the
education
sector,
aiding
academics
executing
their
administrative
responsibilities
and
intellectual
endeavours.
The
ethical
application
of
tools
possesses
significant
potential
to
create
engaging
educational
resources
that
enhance
student
engagement
with
study
materials
alleviate
instructor
fatigue
by
reducing
excessive
workloads.
Nonetheless,
despite
accessibility
these
tools,
are
not
fully
using
them
due
concerns,
technical
proficiency,
sufficient
knowledge.
This
chapter
examines
justification
for
employing
address
teacher
burnout
issues.
It
emphasises
significance
this
technology
through
theoretical
discourse
on
teachers'
burnout.
subsequently
offers
suggestions
utilising
various
such
ChatGPT,
Invideo
AI,
D-ID,
Canva,
instructional
materials,
enhancing
efficiency
conserving
time
effort.
Iberoamerican Journal of Science Measurement and Communication,
Год журнала:
2024,
Номер
4(1), С. 1 - 16
Опубликована: Апрель 5, 2024
Objective.
The
rapid
integration
of
Generative
Artificial
Intelligence
(AI),
especially
tools
like
ChatGPT,
into
educational
sectors
has
spurred
significant
academic
interest.
This
review
article
provides
a
systematic
examination
the
current
scholarly
landscape
concerning
use
ChatGPT
within
higher
education.
Design/Methodology/Approach.
Drawing
from
range
databases
between
2022
and
2024,
we
meticulously
adhere
to
PRISMA
guidelines,
evaluating
final
set
28
out
1740
initial
articles
based
on
predetermined
inclusion
exclusion
criteria.
Results/Discussion.
Our
analysis
reveals
diverse
global
contributions
predominantly
Asia
identifies
prevalent
quantitative
research
approach
among
studies.
We
delve
selected
articles'
geographical
distribution,
methodologies,
thematic
outcomes,
highlighting
notable
lack
Latin
America.
critically
assesses
validity,
utility,
time
optimization
aspects
in
settings,
uncovering
positive
impact
student
learning
management.
However,
pinpoint
gap
rigorous
experimental
research,
underscoring
need
for
studies
with
random
sampling
controlled
settings
enhance
external
validity
findings.
Additionally,
call
attention
ethical
considerations
necessity
education
institutions
adapt
teaching
methodologies
incorporate
AI
effectively.
Conclusion.
concludes
recommendations
future
address
identified
gaps
optimize
generative
technologies
ChatGPT.
