The Pinnacle A Journal by Scholar-Practitioners,
Год журнала:
2024,
Номер
2(3)
Опубликована: Ноя. 1, 2024
This
video
presentation
provides
an
overview
of
methods
and
best
practices
for
using
AI
in
academic
research,
emphasizing
its
significance
from
a
library
perspective.
It
introduces
key
concepts,
strategies,
the
importance
literacy,
incorporating
brief
review
frameworks
evaluation
use
technologies.
also
offers
concise
summary
popular
research
tools
based
on
select
recommendations
reputable
institutions
industry
scholarship.
The
inclusion
visual
auditory
elements
detailing
matters
pertaining
to
higher
education
contributes
multimodal
diversified
approach
designed
broader
audience.
Video
formats
may
complement
other
traditional
forms
publication
by
providing
explanations
that
are
intended
enhance
accessibility
engagement
with
complex
concepts
scholarly
discourse.
Electronics,
Год журнала:
2025,
Номер
14(5), С. 1053 - 1053
Опубликована: Март 6, 2025
In
this
paper,
we
investigated
the
role
of
generative
AI
in
education
academic
publications
extracted
from
Web
Science
(3506
records;
2019–2024).
The
proposed
methodology
included
three
main
streams:
(1)
Monthly
analysis
trends;
top-ranking
research
areas,
keywords
and
universities;
frequency
over
time;
a
keyword
co-occurrence
map;
collaboration
networks;
Sankey
diagram
illustrating
relationship
between
AI-related
terms,
publication
years
areas;
(2)
Sentiment
using
custom
list
words,
VADER
TextBlob;
(3)
Topic
modeling
Latent
Dirichlet
Allocation
(LDA).
Terms
such
as
“artificial
intelligence”
“generative
artificial
were
predominant,
but
they
diverged
evolved
time.
By
2024,
applications
had
branched
into
specialized
fields,
including
educational
research,
computer
science,
engineering,
psychology,
medical
informatics,
healthcare
sciences,
general
medicine
surgery.
sentiment
reveals
growing
optimism
regarding
education,
with
steady
increase
positive
2023
to
while
maintaining
predominantly
neutral
tone.
Five
topics
derived
based
on
an
most
relevant
terms
by
LDA:
Gen-AI’s
impact
research;
ChatGPT
tool
for
university
students
teachers;
Large
language
models
(LLMs)
prompting
computing
education;
(4)
Applications
patient
(5)
ChatGPT’s
performance
examinations.
identified
several
emerging
topics:
discipline-specific
application
LLMs,
multimodal
gen-AI,
personalized
learning,
peer
or
tutor
cross-cultural
multilingual
tools
aimed
at
developing
culturally
content
supporting
teaching
lesser-known
languages.
Further,
gamification
involves
designing
interactive
storytelling
adaptive
games
enhance
engagement
hybrid
human–AI
classrooms
explore
co-teaching
dynamics,
teacher–student
relationships
classroom
authority.
Problems and Perspectives in Management,
Год журнала:
2025,
Номер
23(1), С. 101 - 114
Опубликована: Янв. 15, 2025
One
of
the
main
challenges
in
higher
education
management
is
complexity
resource
optimization
and
increasing
volumes
data,
which
limits
efficiency
accuracy
decision-making.
The
application
artificial
intelligence
can
address
these
issues.The
present
study
aims
to
identify
key
trends,
knowledge
gaps,
opportunities
for
further
research
into
economic
effects
using
ChatGPT
tools
education.
For
this
purpose,
a
systematic
literature
review
was
conducted
screen
scientific
articles
related
topic
indexed
Web
Science
Scopus
from
1986
2024.
A
total
234
were
selected,
all
demonstrating
positive
growth
both
scholarly
output
citation
count.
identified
contributors
on
by
region
(the
United
States,
China,
India).
It
concluded
that
relevant
centers
are
still
at
an
early
stage
their
development.
Based
bibliometric
clusters
formed
co-occurrence
relations,
three
areas
defined:
1)
decision-making;
2)
process
automation
digital
transformation
educational
institutions;
3)
technologies
highlights
education,
including
reducing
administrative
costs,
saving
time
teachers
students,
improving
quality
accessibility
process.
AcknowledgmentsThe
publication
part
“Economic
Basics
Technology
Diffusion
National
Economy
Ukraine
Considering
Best
International
Practices”
(№0124U003482).
Young Consumers Insight and Ideas for Responsible Marketers,
Год журнала:
2025,
Номер
26(2), С. 296 - 313
Опубликована: Янв. 22, 2025
Purpose
Integrating
social
comparison
and
identity
theories,
this
study
aims
to
examine
students’
emotional
behavioral
responses
the
use
of
ChatGPT
in
academic
settings,
focusing
on
intrinsic
motivation,
dissonance,
envy,
schadenfreude
artificial
intelligence
(AI)
usage
intentions.
Design/methodology/approach
The
research
design
consisted
two
sequential
survey-based
studies
with
undergraduate
business
students.
Study
1,
analyzed
SmartPLS,
measured
cognitive
engagement,
dispositional
dissonance
experienced
response
dishonesty
related
ChatGPT.
2
explored
motivations
behind
future
AI
tools,
examining
ethical
considerations
responses.
Findings
1
determined
that
higher
levels
engagement
reduce
envy
among
highly
motivated
Nevertheless,
driven
by
it
was
established
students
experience
when
others
are
caught
misusing
In
contrast,
low-motivated
only
feel
as
a
product
envy.
focus
adoption
Results
indicate
is
for
students,
whereas
less
key
Originality/value
study’s
originality
lies
its
exploration
context
highlighting
how
motivation
influence
Drawing
sheds
new
light
dynamics
integrity
landscape
surrounding
tools
like
ChatGPT,
thus
filling
gap
understanding
student
behavior
perceptions
education.
IGI Global eBooks,
Год журнала:
2025,
Номер
unknown, С. 503 - 530
Опубликована: Фев. 13, 2025
Virtual
Reality
(VR)
technology
has
significantly
advanced,
creating
new
opportunities
for
immersive
user
interactions,
yet
the
integration
of
Artificial
Intelligence
(AI)
chatbots
in
these
environments
remains
underexplored.
As
VR
becomes
more
prevalent,
it
is
crucial
to
investigate
how
AI
can
enhance
engagement
and
interaction
within
virtual
spaces.
This
study
addresses
this
need
by
evaluating
impact
on
experience.
Our
findings
reveal
that
deployed
settings
improve
delivering
dynamic
contextually
relevant
responses,
which
leads
higher
satisfaction
compared
traditional
interfaces.
By
utilizing
advanced
algorithms,
we
integrated
into
various
scenarios,
including
social,
educational,
customer
service
contexts.
The
results
demonstrated
increased
engagement,
frequency,
better
task
completion
rates,
highlighting
chatbots'
effectiveness
enriching
Heliyon,
Год журнала:
2025,
Номер
11(4), С. e42814 - e42814
Опубликована: Фев. 1, 2025
In
educational
settings,
the
socialization,
externalization,
combination,
and
internalization
(SECI)
model
promotes
collaboration,
creation
of
new
knowledge,
integration
individual
collective
experiences,
thereby
enriching
learning
with
greater
depth
meaning.
The
objective
this
study
was
to
identify
factors
that
contribute
optimal
development
SECI
through
use
ChatGPT,
understand
their
interaction.
experiment
included
undergraduate
students
business
sciences
at
public
private
universities
in
Cusco,
Huancayo,
Lima,
Peru.
were
divided
into
control
experimental
groups,
100
each
group.
main
selection
criteria
prior
knowledge
willingness
ChatGPT
being
enrolled
a
finance
course.
phases
evaluated
using
group
discussions,
brainstorming
sessions,
manual,
assessments,
exploring
impact
usage
on
learning.
A
comparison
description
phase
conducted.
Results
revealed
while
improved
quality
interaction
externalization
compared
group,
it
did
not
have
notable
combination
or
knowledge.
multinomial
logistic
regression
analyzed
phase.
Findings
showed
without
explained
63.4
%
change
internalization,
41.3
%.
positive
correlation
observed
between
performance
tests
during
phases.
However,
enhanced
generation
ideas
early
stages
learning,
necessarily
increase
tacit
importance
tools
such
as
carefully
selectively,
especially
context
acquiring
specialized
emphasized.
Applied Sciences,
Год журнала:
2025,
Номер
15(7), С. 3882 - 3882
Опубликована: Апрель 2, 2025
Generative
Artificial
Intelligence
(AI)
has
transformed
personal
and
professional
domains
by
enabling
creative
content
generation
problem-solving.
However,
the
influence
of
users’
grammatical
abilities
on
AI-generated
responses
remains
unclear.
This
exploratory
study
examines
how
language
grammar
in
Spanish
affect
quality
from
ChatGPT
(version
3.5).
Despite
robust
performance
Large
Language
Models
(LLMs)
various
tasks,
they
face
challenges
with
moods
specific
to
non-English
languages,
such
as
subjunctive
Spanish.
Higher
education
students
were
chosen
participants
due
their
familiarity
AI
its
potential
use
learning.
The
assessed
ChatGPT’s
ability
process
instructions
Chilean
Spanish,
analyzing
linguistic
complexity,
variations,
informal
impacted
output
quality.
results
indicate
that
varied
verbal
complex
sentence
structures
significantly
prompt
evaluation,
response
quality,
length.
Based
these
findings,
a
framework
is
proposed
guide
higher
communities
promoting
digital
literacy
integrating
into
teaching
EDUCATION SCIENCES AND SOCIETY,
Год журнала:
2025,
Номер
2, С. 219 - 238
Опубликована: Янв. 1, 2025
La
recente
crisi
pandemica
provocata
dalla
diffusione
del
COVID-19
ha
determinato
un'escalation
di
rinnovato
interessamento
globale
nei
confronti
una
progressiva
digitalizzazione
dei
vari
percorsi
formativi.
Infatti,
grazie
agli
studi
prodotti
comunità
scientifica
pedagogica,
diversi
contributi
hanno
messo
in
luce
i
vantaggi
derivanti
da
maggiore
integrazione
dell'e-learning
all'interno
delle
università.
Considerando
la
nuova
frontiera
dell'innovazione,
determinata
principalmente
dai
sistemi
Intelligenza
Artificiale
(AI),
ci
si
domanda
quale
misura
queste
nuove
tecnologie
innovative
possano
tradursi
interfacce
utili
per
gli
studenti.
Attraverso
il
metodo
della
literature
review
verranno
confrontate
riflessioni
e
analisi
condotte
sia
a
livello
nazionale
che
internazionale.
L'obiettivo
è
un
focus
sul
ruolo
potranno
avere
personalizzazione
formativi
degli
studenti,
senza
tralasciare
possibili
rischi
dietro
utilizzo
integrato
questi
tutor
virtuali.
Üniversite Araştırmaları Dergisi,
Год журнала:
2025,
Номер
8(1), С. 139 - 148
Опубликована: Март 20, 2025
Bu
makale,
yapay
zekânın
üniversitelerdeki
kullanımına
dair
kapsamlı
bir
inceleme
sunmaktadır.
Yapay
eğitimde
kişiselleştirilmiş
öğrenme,
veriye
dayalı
karar
alma,
akademik
çalışmalara
hız
kazandırma
ve
toplumsal
sorunlara
çözüm
geliştirme
konularındaki
potansiyeli
ele
alınmıştır.
Ayrıca,
üniversitelerin
zekâ
entegrasyonu
sırasında
karşılaşabilecekleri
altyapı
eksiklikleri,
etik
sorunlar
erişim
eşitsizlikleri
gibi
zorluklara
yönelik
stratejiler
tartışılmaktadır.
çalışma
betimleyici
araştırma
olup
üniversitelerde
odaklanmaktadır;
öğrenme
yöntemleri
süreçleri
üzerindeki
olası
etkileri,
fırsatları
zorlukları
alarak
bu
süreçte
nasıl
adaptasyon
stratejisi
geliştirmeleri
gerektiğini
tartışmaktadır.
Çalışma,
ayrıca
geleceğin
üniversitelerine
etkisini
anlamak
teknolojinin
eğitim
süreçlerindeki
rolünü
optimize
etmek
için
rehber
olarak
düşünülebilir.