Cogent Education,
Journal Year:
2024,
Volume and Issue:
11(1)
Published: July 20, 2024
This
study
investigates
the
integration
of
Artificial
Intelligence
(AI)
tools
within
School
Arts
at
a
private
university
in
Latin
America,
focusing
on
student
perceptions
and
emotional
reactions.
The
research
addresses
two
primary
questions:
how
students
perceive
AI
their
educational
experience,
AI-enhanced
classes
affect
students'
reactions
compared
to
traditional
lecture-based
classes.
To
explore
first
question,
we
constructed
Synthetic
Index
Use
Tools
(SIUAIT)
measure
perceived
effects
usage
across
five
dimensions:
effectiveness
tools,
implementation
ChatGPT,
proficiency,
instructor
advanced
skills.
Confirmatory
Factor
Analysis
(CFA)
validated
SIUAIT,
revealing
an
increase
from
58.84
semester
60.60
second
2023,
indicating
growing
acceptance
utility
arts
education.
address
employed
neuromarketing
technologies,
including
eye
tracking
facial
expression
analysis,
assess
versus
findings
showed
that
elicited
more
positive
emotions,
such
as
joy
surprise,
methods.
Statistical
analyses,
Pearson
correlation,
Student's
t-test,
Kruskal-Wallis
test,
confirmed
significance
these
differences.
comprehensive
approach
provides
valuable
insights
into
benefits
challenges
integrating
highlights
AI's
potential
enhance
experiences
engagement
while
emphasizing
need
for
ongoing
training
addressing
ethical
concerns
ensure
effective
equitable
use
tools.
Journal of Intelligent Communication,
Journal Year:
2024,
Volume and Issue:
4(1)
Published: April 26, 2024
The
emergence
of
generative
artificial
intelligence
(AI)
technologies,
such
as
large
language
models
(LLMs)
like
ChatGPT,
has
precipitated
a
paradigm
shift
in
the
realms
academic
writing,
plagiarism,
and
intellectual
property.
This
article
explores
evolving
landscape
English
composition
courses,
traditionally
designed
to
develop
critical
thinking
through
writing.
As
AI
becomes
increasingly
integrated
into
sphere,
it
necessitates
reevaluation
originality
purpose
learning
research
frameworks
governing
property
(IP)
plagiarism.
paper
commences
with
statistical
analysis
contrasting
actual
use
LLMs
dishonesty
educator
perceptions.
It
then
examines
repercussions
AI-enabled
content
proliferation,
referencing
limitation
three
books
self-published
per
day
September
2023
by
Amazon
due
suspected
influx
AI-generated
material.
discourse
extends
potential
accelerating
akin
contributions
digital
humanities
computational
linguistics,
highlighting
its
accessibility
general
public.
further
delves
implications
on
pedagogical
approaches
contemplating
impact
communication
skills,
while
also
considering
role
bridging
divide
socio-economic
disparities.
Finally,
proposes
revisions
writing
curricula,
adapting
transformative
influence
contexts.
International Journal of Technology in Education,
Journal Year:
2024,
Volume and Issue:
7(1), P. 107 - 127
Published: Feb. 4, 2024
In
this
research,
we
aimed
to
determine
whether
students'
math
achievements
improved
using
ChatGPT,
one
of
the
chatbot
tools,
prepare
lesson
plans
in
primary
school
courses.
The
research
was
conducted
with
a
pretest-posttest
control
group
experimental
design.
study
comprises
39
third-grade
students
(experimental
=
24,
15).
implementation
process
lasted
five
weeks
and
25
hours.
group,
lessons
were
taught
according
prepared
while
existing
used.
Students'
academic
achievement
measured
multiple-choice
test
questions
two
separate
for
each
learning
objective.
According
results,
increased
significantly
(d
1.268)
ChatGPT.
Although
there
difference
between
post-test
scores
favor
it
determined
that
not
significant.
These
results
show
teaching
ChatGPT
is
effective
achievement.
Teachers
should
consider
their
plans,
combining
them
benefiting
from
both
process.
Systems,
Journal Year:
2024,
Volume and Issue:
12(10), P. 385 - 385
Published: Sept. 24, 2024
This
research
explores
the
use
of
Generative
Artificial
Intelligence
(GenAI)
tools
among
higher
education
students
in
Saudi
Arabia,
aiming
to
understand
their
current
perceptions
these
technologies.
study
utilizes
Technology
Acceptance
Model
(TAM)
and
theory
Task-Technology
Fit
(TTF)
examine
students’
utilization,
perceived
benefits,
challenges
associated
with
tools.
A
cross-sectional
survey
was
conducted,
yielding
859
responses.
The
findings
indicate
that
78.7%
frequently
GenAI
tools,
while
21.3%
do
not,
often
due
a
lack
knowledge
or
interest.
ChatGPT
emerged
as
most
widely
used
tool,
utilized
by
86.2%
respondents,
followed
other
like
Gemini,
Socratic,
CoPilot.
Students
primarily
for
defining
clarifying
concepts,
translation,
generating
ideas
writing,
summarizing
academic
literature.
They
cite
benefits
such
ease
access,
time-saving,
instant
feedback.
However,
they
express
concerns
about
challenges,
including
subscription
fees,
unreliable
information,
plagiarism,
reduced
human-to-human
interaction,
impacts
on
learning
autonomy.
underscores
need
increased
awareness,
ethical
guidelines,
robust
integrity
measures
ensure
responsible
educational
settings.
These
highlight
balanced
utilization
maximizes
addressing
potential
guides
development
policies,
curricula,
support
systems.
Information,
Journal Year:
2024,
Volume and Issue:
15(6), P. 325 - 325
Published: June 2, 2024
In
the
digital
age,
intersection
of
artificial
intelligence
(AI)
and
higher
education
(HE)
poses
novel
ethical
considerations,
necessitating
a
comprehensive
exploration
this
multifaceted
relationship.
This
study
aims
to
quantify
characterize
current
research
trends
critically
assess
discourse
on
AI
applications
within
HE.
Employing
mixed-methods
design,
we
integrated
quantitative
data
from
Web
Science,
Scopus,
Lens
databases
with
qualitative
insights
selected
studies
perform
scientometric
content
analyses,
yielding
nuanced
landscape
utilization
in
Our
results
identified
vital
areas
through
citation
bursts,
keyword
co-occurrence,
thematic
clusters.
We
provided
conceptual
model
for
integration
HE,
encapsulating
dichotomous
perspectives
AI’s
role
education.
Three
clusters
were
identified:
frameworks
policy
development,
academic
integrity
creation,
student
interaction
AI.
The
concludes
that,
while
offers
substantial
benefits
educational
advancement,
it
also
brings
challenges
that
necessitate
vigilant
governance
uphold
standards.
implications
extend
policymakers,
educators,
developers,
highlighting
need
guidelines,
literacy,
human-centered
tools.
International Journal of Information and Learning Technology,
Journal Year:
2024,
Volume and Issue:
41(4), P. 371 - 393
Published: July 11, 2024
Purpose
Artificial
intelligence
(AI)
is
constantly
evolving
and
poised
to
significantly
transform
the
world,
affecting
nearly
every
sector
aspect
of
society.
As
AI
continues
evolve,
it
expected
create
a
more
dynamic,
efficient
personalized
education
system,
supporting
lifelong
learning
adapting
needs
pace
each
student.
In
this
research,
we
focus
on
testing
model
acceptance
in
higher
(HE)
through
human
interaction-based
factors
including
attitudes,
competencies
openness
experience.
Perceived
benefits
were
our
expectation
enhance
HE.
Design/methodology/approach
To
test
model,
collected
data
from
Arab
HE
institutions
by
spreading
an
online
questionnaire.
The
sample
consisted
1,152
teaching
staff
students
region,
which
selected
randomly.
Partial
least
squares
structural
equation
modeling
(PLS-SEM)
was
employed
determine
interrelated
dependence
relationships
among
variables.
Furthermore,
processing
analysis
conducted
ensure
reliability
validity
questionnaires,
multicollinearity
factor
loading,
items
tested
one
time
their
after
translation
into
language.
Findings
Results
reveal
that
adopted
attitude,
digital
competency
experience
have
positive
significant
relationship
with
both
perceived
region.
results
also
demonstrate
indirect
impact
existence
benefits,
important
validation
model.
Originality/value
research
contributes
theory
providing
evidence
generative
applications
continue
expand
change,
way
accept
interact
them
will
be
different.
This
could
authorities
facilitate
institutions.
Frontiers in Education,
Journal Year:
2024,
Volume and Issue:
9
Published: Aug. 7, 2024
Background
The
use
of
ChatGPT
among
university
students
has
gained
a
recent
popularity.
current
study
aimed
to
assess
the
factors
driving
attitude
and
usage
as
an
example
generative
artificial
intelligence
(genAI)
in
United
Arab
Emirates
(UAE).
Methods
This
cross-sectional
was
based
on
previously
validated
Technology
Acceptance
Model
(TAM)-based
survey
instrument
termed
TAME-ChatGPT.
self-administered
e-survey
distributed
by
emails
for
enrolled
UAE
universities
during
September–December
2023
using
convenience-based
approach.
Assessment
demographic
academic
variables,
TAME-ChatGPT
constructs’
roles
conducted
univariate
followed
multivariate
analyses.
Results
final
sample
comprised
608
participants,
91.0%
whom
heard
while
85.4%
used
before
study.
Univariate
analysis
indicated
that
positive
associated
with
three
constructs
namely,
lower
perceived
risks,
anxiety,
higher
scores
technology/social
influence.
For
usage,
being
male,
nationality,
point
grade
average
(GPA)
well
four
usefulness,
risks
use,
behavior/cognitive
construct
ease-of-use
construct.
In
analysis,
only
explained
variance
towards
(80.8%)
its
(76.9%).
Conclusion
findings
is
commonplace
UAE.
determinants
included
cognitive
behavioral
factors,
ease
determined
These
should
be
considered
understanding
motivators
successful
adoption
genAI
including
education.
Advances in Medical Education and Practice,
Journal Year:
2024,
Volume and Issue:
Volume 15, P. 857 - 871
Published: Sept. 1, 2024
Artificial
intelligence
(AI)
chatbots
excel
in
language
understanding
and
generation.
These
models
can
transform
healthcare
education
practice.
However,
it
is
important
to
assess
the
performance
of
such
AI
various
topics
highlight
its
strengths
possible
limitations.
This
study
aimed
evaluate
ChatGPT
(GPT-3.5
GPT-4),
Bing,
Bard
compared
human
students
at
a
postgraduate
master's
level
Medical
Laboratory
Sciences.
medRxiv (Cold Spring Harbor Laboratory),
Journal Year:
2024,
Volume and Issue:
unknown
Published: Jan. 9, 2024
Abstract
The
advances
in
large
language
models
(LLMs)
are
evolving
rapidly.
Artificial
intelligence
(AI)
chatbots
based
on
LLMs
excel
understanding
and
generation,
with
potential
utility
to
transform
healthcare
education
practice.
However,
it
is
important
assess
the
performance
of
such
AI
various
topics
highlight
its
strengths
possible
limitations.
Therefore,
this
study
aimed
evaluate
ChatGPT
(GPT-3.5
GPT-4),
Bing,
Bard
compared
human
students
at
a
postgraduate
master’s
(MSc)
level
Medical
Laboratory
Sciences.
design
was
METRICS
checklist
for
reporting
AI-based
studies
healthcare.
utilized
dataset
60
Clinical
Chemistry
multiple-choice
questions
(MCQs)
initially
conceived
assessment
20
MSc
students.
revised
Bloom’s
taxonomy
used
as
framework
classifying
MCQs
into
four
cognitive
categories:
Remember,
Understand,
Analyze,
Apply.
A
modified
version
CLEAR
tool
quality
AI-generated
content,
Cohen’s
κ
inter-rater
agreement.
Compared
mean
students’
score
which
40/60
(66.8%),
GPT-4
scored
54/60
(90.0%),
followed
by
Bing
(46/60,
76.7%),
GPT-3.5
(44/60,
73.3%),
(40/60,
66.7%).
Statistically
significant
better
noted
lower
domains
(Remember
Understand)
GPT-3.5,
GPT-4,
Bard.
scores
indicated
that
ChatGPT-4
“Excellent”
“Above
average”
ChatGPT-3.5,
findings
excelled
exam,
while
were
above-average.
Given
directed
high
degree
specialization,
these
remarkable.
Due
risks
academic
dishonesty
dependence
models,
appropriateness
an
higher
should
be
re-evaluated.
Research Square (Research Square),
Journal Year:
2024,
Volume and Issue:
unknown
Published: Feb. 1, 2024
Abstract
Background
The
use
of
ChatGPT
among
university
students
has
gained
popularity.
current
study
aimed
to
assess
the
factors
driving
attitude
and
usage
as
an
example
generative
artificial
intelligence
in
United
Arab
Emirates
(UAE).
Methods
This
cross-sectional
was
based
on
a
previously
validated
technology
acceptance
model
(TAM)-based
survey
instrument
termed
TAME-ChatGPT.
self-administered
e-survey
distributed
by
emails
for
enrolled
UAE
universities
during
September–December
2023
using
convenience-based
approach.
Assessment
demographic,
academic,
TAME-ChatGPT
constructs
role
conducted
univariate
followed
multivariate
analyses.
Results
final
sample
comprised
608
participants,
91.0%
which
heard
while
85.4%
used
before
study.
Univariate
analysis
indicated
that
positive
associated
with
three
namely
lower
perceived
risks,
anxiety,
higher
scores
technology/social
influence.
For
usage,
being
male,
nationality,
point
grade
average
well
four
usefulness,
risks
use,
behavior/cognitive
construct
ease
construct.
In
analysis,
only
explained
variance
towards
(80.8%)
its
(76.9%).
Conclusions
findings
is
commonplace
UAE.
determinants
included
cognitive
behavioral
factors,
determined
These
should
be
considered
understanding
motivators
successful
adoption
AI
including
education.
