In
recent
years,
there
has
been
a
constant
effort
to
integrate
artificial
intelligence
(AI)
and
other
advancement
into
educational
setting
enhance
learning
experience.
This
paper
presents
comprehensive
review
of
the
substantial
impact
ChatGPT,
AI
language
model
for
conversations,
on
modern
education
landscape.
As
paradigm
continues
evolve
in
digital
age,
Artificial
Intelligence
is
playing
an
increasingly
pivotal
role,
with
ChatGPT
at
forefront
this
transformative
shift.
Through
detailed
analysis
diverse
range
applications,
study
delves
multifaceted
role
that
assumes
redefining
traditional
teaching
methodologies.
Its
versatility
exemplified
across
scenarios,
comprising
personalized
tutoring,
text
generation,
acquisition,
even
assistance
creative
writing.
offers
exceptional
capabilities
student
engagement
meet
variety
demands
by
enabling
quick
responses
engaging
logical
conversations.
Moreover,
critically
examines
ethical
considerations
challenges
emerge
when
deploying
contexts.
Striking
balance
between
advantages
AI-driven
support
concerns
related
potential
biases,
data
privacy
authenticity
underscores
complex
landscape
educators,
students
researchers
must
navigate.
Education Sciences,
Год журнала:
2024,
Номер
14(8), С. 814 - 814
Опубликована: Июль 25, 2024
This
paper
investigates
the
integration
of
ChatGPT
into
educational
environments,
focusing
on
its
potential
to
enhance
personalized
learning
and
ethical
concerns
it
raises.
Through
a
systematic
literature
review,
interest
analysis,
case
studies,
research
scrutinizes
application
in
diverse
contexts,
evaluating
impact
teaching
practices.
The
key
findings
reveal
that
can
significantly
enrich
education
by
offering
dynamic,
experiences
real-time
feedback,
thereby
boosting
efficiency
learner
engagement.
However,
study
also
highlights
significant
challenges,
such
as
biases
AI
algorithms
may
distort
content
inability
replicate
emotional
interpersonal
dynamics
traditional
teacher–student
interactions.
acknowledges
fast-paced
evolution
technologies,
which
render
some
obsolete,
underscoring
need
for
ongoing
adapt
strategies
accordingly.
provides
balanced
analysis
opportunities
challenges
education,
emphasizing
considerations
strategic
insights
responsible
technologies.
These
are
valuable
educators,
policymakers,
researchers
involved
digital
transformation
education.
Data Intelligence,
Год журнала:
2023,
Номер
6(1), С. 240 - 296
Опубликована: Ноя. 7, 2023
ABSTRACT
This
paper
investigates
the
capabilities
of
ChatGPT
as
an
automated
assistant
in
diverse
domains,
including
scientific
writing,
mathematics,
education,
programming,
and
healthcare.
We
explore
potential
to
enhance
productivity,
streamline
problem-solving
processes,
improve
writing
style.
Furthermore,
we
highlight
risks
associated
with
excessive
reliance
on
these
fields.
These
limitations
encompass
factors
like
incorrect
fictitious
responses,
inaccuracies
code,
limited
logical
reasoning
abilities,
overconfidence,
critical
ethical
concerns
copyright
privacy
violation.
outline
areas
objectives
where
proves
beneficial,
applications
it
should
be
used
judiciously,
scenarios
its
reliability
may
limited.
In
light
observed
limitations,
given
that
tool's
fundamental
errors
pose
a
special
challenge
for
non-experts,
strategic
methodology.
By
drawing
from
comprehensive
experimental
studies,
offer
methods
flowcharts
effectively
using
ChatGPT.
Our
recommendations
emphasize
iterative
interaction
independent
verification
outputs.
Considering
importance
utilizing
judiciously
expertise,
recommend
usage
experts
who
are
well-versed
respective
domains.
Sustainability,
Год журнала:
2024,
Номер
16(11), С. 4451 - 4451
Опубликована: Май 24, 2024
In
an
era
marked
by
unprecedented
global
challenges,
including
environmental
degradation,
social
inequalities,
and
the
rapid
evolution
of
technology,
need
for
innovative
educational
approaches
is
critical.
This
conceptual
paper
explores
intersection
sustainability,
creativity,
technology
education,
focusing
on
artificial
intelligence
(AI)
as
example.
We
propose
a
framework
that
synthesizes
sustainability
principles
creative
pedagogies,
detailing
its
components
to
guide
integration
AI
into
education.
The
illustrates
how
blending
pedagogies
with
notion
frame
mind
offers
allows
teachers
support
learning
problem
solving,
through
technology.
Using
example
we
illustrate
potential
benefits
inherent
challenges
integrating
new
technologies
Generative
cogent
example,
it
presents
unique
opportunities
personalizing
engaging
students
in
solving
around
issues.
However,
also
introduces
significant
ethical
concerns
navigate.
Exploring
balance
between
technological
innovation
imperatives,
this
outlines
incorporating
education
promotes
care
exploration.
Through
synthesis
highlight
using
offering
strategic
insights
leverage
sustainable
just
future.
Frontiers in Artificial Intelligence,
Год журнала:
2025,
Номер
7
Опубликована: Янв. 14, 2025
Introduction
Generating
physician
letters
is
a
time-consuming
task
in
daily
clinical
practice.
Methods
This
study
investigates
local
fine-tuning
of
large
language
models
(LLMs),
specifically
LLaMA
models,
for
letter
generation
privacy-preserving
manner
within
the
field
radiation
oncology.
Results
Our
findings
demonstrate
that
base
without
fine-tuning,
are
inadequate
effectively
generating
letters.
The
QLoRA
algorithm
provides
an
efficient
method
intra-institutional
LLMs
with
limited
computational
resources
(i.e.,
single
48
GB
GPU
workstation
hospital).
fine-tuned
LLM
successfully
learns
oncology-specific
information
and
generates
institution-specific
style.
ROUGE
scores
generated
summary
reports
highlight
superiority
8B
LLaMA-3
model
over
13B
LLaMA-2
model.
Further
multidimensional
evaluations
10
cases
reveal
that,
although
has
capacity
to
generate
content
beyond
provided
input
data,
it
salutations,
diagnoses
treatment
histories,
recommendations
further
treatment,
planned
schedules.
Overall,
benefit
was
rated
highly
by
experts
(average
score
3.4
on
4-point
scale).
Discussion
With
careful
review
correction,
automated
LLM-based
significant
practical
value.
Advanced Electronic Materials,
Год журнала:
2025,
Номер
unknown
Опубликована: Янв. 13, 2025
Abstract
Brain‐inspired
(or
neuromorphic)
computing
circumvents
costly
bottlenecks
in
conventional
Von
Neumann
architectures
by
collocating
memory
and
processing.
This
is
accomplished
through
dynamic
material
architectures,
strengthening
or
weakening
internal
conduction
pathways
similar
to
synaptic
connections
within
the
brain.
A
new
class
of
neuromorphic
materials
approximates
interfaces
using
lipid
membranes
assembled
via
droplet
interface
bilayer
(DIB)
technique.
These
DIB
have
been
studied
as
novel
memristors
memcapacitors
owing
soft,
reconfigurable
nature
both
membrane
geometry
embedded
ion‐conducting
channels.
In
this
work,
a
biomolecular
approach
expanded
from
model
synapses
charge‐integrating
neuron
.
these
serial
networks,
it
possible
create
distributions
voltage‐sensitive
gates
capable
trapping
ionic
charge.
trapped
charge
creates
transmembrane
potential
differences
that
drive
changes
system's
net
capacitance
electrowetting,
providing
weight
response
history
timing
input
signals.
fundamental
change
interfacial
(dimensions
membrane)
(charge
droplets)
provides
functional
plasticity
multiple
weights,
longer‐term
retention
roughly
an
order
magnitude
greater
than
stored
alone,
programming‐erasure.
British Journal of Biomedical Science,
Год журнала:
2025,
Номер
81
Опубликована: Фев. 5, 2025
The
emergence
of
ChatGPT
and
similar
new
Generative
AI
tools
has
created
concern
about
the
validity
many
current
assessment
methods
in
higher
education,
since
learners
might
use
these
to
complete
those
assessments.
Here
we
review
evidence
on
this
issue
show
that
for
assessments
like
essays
multiple-choice
exams,
concerns
are
legitimate:
can
them
a
very
high
standard,
quickly
cheaply.
We
consider
how
assess
learning
alternative
ways,
importance
retaining
foundational
core
knowledge.
This
is
considered
from
perspective
professional
regulations
covering
registration
Biomedical
Scientists
their
Health
Care
Professions
Council
(HCPC)
approved
education
providers,
although
it
should
be
broadly
relevant
across
education.
ChatGPT
represents
a
groundbreaking
AI
application
that
has
garnered
significant
attention
since
its
inception.
However,
despite
promising
potential,
ethical
implications
have
sparked
considerable
debate.
This
study
aims
to
examine
the
key
concerns
surrounding
governance
of
by
conducting
bibliometric
analysis
and
cluster-based
content
relevant
scientific
literature.
The
identifies
influential
authors,
countries,
pivotal
publications,
revealing
three
primary
categories
issues
associated
with
ChatGPT:
human-related
ethics,
academic
integrity
technical
literacy,
artificial
intelligence
(AI)
technology
ethics
derived
concerns.
Additionally,
further
refines
these
synthesizing
frequently
occurring
keywords.
Building
on
this
framework,
provides
comprehensive
discussion
major
challenges
faced
ChatGPT,
as
well
outlining
future
research
priorities.
Furthermore,
investigates
knowledge
base
underlying
ChatGPT's
governance,
exploring
high-citation
high-link-strength
literature
through
co-citation
analysis,
thereby
mapping
landscape
highlighting
areas
growing
scholarly
interest.
offers
valuable
insights
for
policymakers,
researchers,
practitioners,
emphasizing
need
more
stringent
policies,
guidelines,
robust
design
in
development
similar
technologies.
Journal of Educational Computing Research,
Год журнала:
2025,
Номер
unknown
Опубликована: Апрель 2, 2025
This
editorial
considers
the
ethical,
social,
and
global
consequences
of
educational
computing
technologies,
emphasizing
need
to
move
beyond
just
a
focus
innovation
critically
engage
with
these
issues.
It
highlights
Journal’
s
expanded
aims,
which
now
include
scholarship
that
examines
ethical
foundations
their
social
impact,
role
in
addressing
inequities.
The
calls
for
research
explores
justice,
representation,
access,
particularly
marginalized
communities.
Additionally,
it
introduces
new
article
types,
including
Review
Articles
Systems
Tools,
encouraging
greater
diversity
contributions
evaluate
implications
technologies
multiple
contexts.