Risks of AI-Assisted Learning on Student Critical Thinking
International Journal of Risk and Contingency Management,
Год журнала:
2024,
Номер
12(1), С. 1 - 19
Опубликована: Авг. 5, 2024
Artificial
Intelligence
(AI)
has
increasingly
become
a
transformative
force
in
the
education
sector,
offering
unprecedented
opportunities
to
enhance
learning
experiences
and
outcomes.
This
study
examines
potential
adverse
effects
of
AI-assisted
on
critical
cognitive
skills,
particularly
thinking
problem-solving,
within
context
Albania's
educational
landscape.
Employing
quantitative
methodology,
survey
53
students
was
conducted
across
various
institutions
Albania
gather
data
their
perceptions
regarding
learning.
The
findings
indicate
no
significant
difference
skills
between
with
prior
exposure
AI
tools
those
without.
However,
there
is
statistically
negative
correlation
reliance
for
assignments
students'
problem-solving
suggesting
that
excessive
dependence
can
hinder
development
independent
abilities.
Conversely,
strong
positive
found
frequency
tool
usage
academic
performance
assignment
efficiency,
highlighting
benefits
enhancing
these
aspects
experience.
These
results
emphasize
need
balanced
integration
ensure
they
complement
rather
than
replace
traditional
methods.
study's
have
implications
educators
policymakers,
while
certain
outcomes,
it
essential
address
its
risks
promote
skills.
Future
research
should
focus
larger,
more
diverse
samples,
incorporate
objective
measures
explore
long-term
impacts
Язык: Английский
Enhancing education for children with ASD: a review of evaluation and measurement in AI tool implementation
Disability and Rehabilitation Assistive Technology,
Год журнала:
2025,
Номер
unknown, С. 1 - 18
Опубликована: Март 13, 2025
This
article
addresses
the
gaps
in
current
research
regarding
use
of
artificial
intelligence
(AI)
tools
to
educate
children
with
autism
spectrum
disorder
(ASD).
The
proposed
metrics
are
specifically
designed
evaluate
progress
learning
AI-assisted
education,
considering
unique
needs
this
demographic.
review
highlights
potential
long-term
impact
studies
determine
lasting
effects
AI
on
social
skills,
emotional
development,
and
overall
academic
achievement.
ethical
considerations
surrounding
intervention
autistic
education
thoroughly
examined.
By
combining
diverse
methodologies
utilized
existing
studies,
a
comprehensive
analysis
challenges
is
presented,
along
interdisciplinary
approaches
for
improvement
that
can
serve
as
roadmap
future
research.
manuscript
provides
innovative
perspectives,
bridges
gaps,
advocates
effective
integration
educating
ASD.
Язык: Английский
Exploring factors influencing university students’ intentions to use ChatGPT: analysing task-technology fit theory to enhance behavioural intentions in higher education
Future Business Journal,
Год журнала:
2024,
Номер
10(1)
Опубликована: Ноя. 27, 2024
Abstract
The
increasing
integration
of
AI
technologies
such
as
ChatGPT
in
educational
systems
calls
for
an
in-depth
understanding
the
factors
influencing
students’
intentions
to
use
these
tools.
This
study
explores
shaping
university
by
analysing
three
key
dimensions:
task
characteristics,
technology
characteristics
and
individual
characteristics.
Using
task-technology
fit
(TTF)
framework,
research
examined
how
elements
impact
alignment
between
tasks
ChatGPT’s
capabilities,
ultimately
driving
behavioural
intentions.
A
survey
393
students
from
a
Saudi
Arabian
was
conducted,
structural
equation
modelling
applied
assess
relationships
among
variables.
Results
indicated
that
all
significantly
influenced
TTF,
which
turn
had
positive
on
ChatGPT.
highlighted
importance
achieving
strong
TTF
encourage
effective
tools
academic
settings.
implications
this
suggest
institutions
should
focus
aligning
with
learning
enhance
their
intent
tools,
thereby
improving
performance.
Furthermore,
extended
model
context
AI-powered
particularly
line
Arabia’s
Vision
2030.
is
one
first
investigate
within
unique
cultural
technological
higher
education
system.
By
integrating
framework
local
regional
factors,
provides
novel
insights
into
drivers
usage
education,
offering
guidance
policy
broad
practices.
Язык: Английский
Management trends and implementation of AI in university management
Data & Metadata,
Год журнала:
2025,
Номер
4, С. 866 - 866
Опубликована: Март 6, 2025
The
objective
of
this
article
was
to
explore
managerial
trends
and
the
implementation
artificial
intelligence
in
university
management,
with
a
particular
focus
on
Latin
American
context.
To
end,
mixed
study
designed,
operationalized
through
documentary
review
bibliometric
procedures,
qualitative
thematic
analysis,
triangulation
system,
an
integration
data
supported
by
external
sources.
results
were
organized
into
five
management
strategies,
three
emerging
trends,
recommendations
for
managers,
main
themes.
These
reflect
significant
progress,
but
also
pose
challenges,
especially
regions
structural
inequalities
resource
constraints.
analyzed
indicate
need
balanced
approach
that
combines
technological
innovation
ethical
social
considerations.
Furthermore,
findings
emphasize
importance
international
collaboration
local
capacity
building
ensure
equitable
sustainable
AI.
It
is
concluded
it
cardinal
underline
potential
AI
transform
higher
education,
provided
technical,
ethical,
challenges
are
addressed
comprehensively.
Язык: Английский
Ethical considerations of AI through a socio-technical lens: insights from ELT context as a higher education system
Cogent Education,
Год журнала:
2025,
Номер
12(1)
Опубликована: Апрель 8, 2025
Язык: Английский
Advanced Research in Technology and Information Systems
Electronics,
Год журнала:
2025,
Номер
14(8), С. 1677 - 1677
Опубликована: Апрель 21, 2025
The
fields
of
information
systems
and
technology
continue
to
evolve
at
a
rapid
pace,
offering
new
research
directions
expanding
career
opportunities
[...]
Язык: Английский
Artificial Intelligence Adoption Practices in Scholarly Publishing of Early-Stage Academic Researchers
Journal of Learning Theory and Methodology,
Год журнала:
2025,
Номер
6(1), С. 42 - 52
Опубликована: Апрель 30, 2025
Background.
Artificial
intelligence
has
drastically
changed
work
environments,
resulting
in
skill
shifts
the
workforce.
With
catch-up
formal
instructions
on
AI
utilisation,
adult
learners
rely
self-directed
and
experiential
learning
for
upskilling
reskilling
of
technology
adoption
their
workflows.
In
higher
education,
students
faculty
employ
various
strategies
adopting
academic
course
requirements
research
undertakings.
Developing
a
theory
planned
behaviour
generative
an
educational
setting
requires
investigation
perceived
actual
behavioural
controls
non-users
users
applications.
Objectives.
This
study
investigated
practices
early-stage
researchers
teaching-focused
institution
scholarly
publishing.
Materials
methods.
The
intention
utilisation
were
examined
50
graduate
from
education
institution.
An
framework
was
adapted
to
investigate
four
components
publishing:
conception,
writing,
editing
proofreading,
Descriptive
statistics
used
present
analyse
patterns
writing
Results.
Findings
show
that
only
half
respondents
idea
extraction,
grammar
checking,
paraphrasing.
Furthermore,
there
general
perception
satisfactory
ability
editing,
proofreading.
Conclusions.
As
implication
methodology,
provides
valuable
insights
integrating
literacy
into
contemporary
frameworks.
Язык: Английский