Third-party evaluators perceive AI as more compassionate than expert humans
Communications Psychology,
Journal Year:
2025,
Volume and Issue:
3(1)
Published: Jan. 10, 2025
Abstract
Empathy
connects
us
but
strains
under
demanding
settings.
This
study
explored
how
third
parties
evaluated
AI-generated
empathetic
responses
versus
human
in
terms
of
compassion,
responsiveness,
and
overall
preference
across
four
preregistered
experiments.
Participants
(
N
=
556)
read
empathy
prompts
describing
valenced
personal
experiences
compared
the
AI
to
select
non-expert
or
expert
humans.
Results
revealed
that
were
preferred
rated
as
more
compassionate
responders
(Study
1).
pattern
results
remained
when
author
identity
was
made
transparent
2),
crisis
3),
disclosed
all
participants
4).
Third
perceived
being
responsive—conveying
understanding,
validation,
care—which
partially
explained
AI’s
higher
compassion
ratings
Study
4.
These
findings
suggest
has
robust
utility
contexts
requiring
interaction,
with
potential
address
increasing
need
for
supportive
communication
contexts.
Language: Английский
Capacity Building for Student Teachers in Learning, Teaching Artificial Intelligence for Quality of Education
Societies,
Journal Year:
2024,
Volume and Issue:
14(8), P. 148 - 148
Published: Aug. 10, 2024
The
future
of
education
relies
on
the
integration
information
technologies,
emphasizing
importance
equity
and
inclusiveness
for
quality
education.
Teacher
programs
are
essential
fostering
qualified
educators
future.
Integrating
AI
in
is
crucial
to
ensure
inclusivity
comprehensive
services
all.
This
study
aims
evaluate
student
teachers’
perceptions
using
learning
teaching,
provide
suggestions
enhancing
sustainable
through
technologies.
A
qualitative
research
design
was
adopted
gather
experiences
from
240
teachers
who
participated
a
seminar
usage
completed
self-reflection
tasks.
These
teachers,
enrolled
various
teaching
methods
principal
courses,
contributed
thematic
analysis.
reveals
that
should
be
carefully
planned
incorporated
into
lesson
plans
enhance
personalized
learning.
Student
reported
supports
motivates
process,
effectively
transforming
students’
needs
experiences.
However,
they
also
noted
potential
drawbacks,
such
as
imposing
restrictions
profession,
replacing
producing
biased
results.
suggests
capacity-building
strategies
enriched
across
different
courses
raise
awareness
about
AI’s
applications.
Language: Английский
University students' religiosity in the United Kingdom and Poland: An exploration of sociodemographic determinants
British Educational Research Journal,
Journal Year:
2025,
Volume and Issue:
unknown
Published: Jan. 30, 2025
Abstract
The
present
paper
aims
to
determine
and
compare
religiosity
levels
in
university
students
(
n
=
2098)
from
the
United
Kingdom
1010)
Poland
attempt
an
explanation
of
how
nationality
differences
cultural
context
affiliations
with
different
religious
traditions
influence
their
religiosity.
current
global
trends
regarding
are
marked
by
diversity,
increasing
polarisation
between
deeply
non‐religious
individuals.
This
phenomenon
differs
across
national
contexts,
which
makes
its
analysis
crucial
for
contemporary
sociology
religion.
ANOVA
multiple
linear
regression
were
performed
effect
sociodemographic
factors
on
revealed
significant
level
groups,
highest
among
nationalities
other
than
British
or
Polish.
Command
English,
age,
gender,
development
academic
performance
influenced
level.
results
suggest
that
students'
is
a
complex
phenomenon,
shaped
numerous
variables,
including
nationality,
affiliation
personal
experience.
understanding
these
relationships
may
contribute
better
role
religion
life
societies
help
adjust
educational
social
policies
diverse
needs.
Language: Английский
Spiritual confusion in the era of artificial intelligence: a psychology of religion perspective
International Review of Psychiatry,
Journal Year:
2025,
Volume and Issue:
unknown, P. 1 - 14
Published: April 11, 2025
Language: Английский
How sociodemographic factors relate to trust in artificial intelligence among students in Poland and the United Kingdom
Scientific Reports,
Journal Year:
2024,
Volume and Issue:
14(1)
Published: Nov. 20, 2024
Abstract
The
article
aims
to
determine
the
sociodemographic
factors
associated
with
level
of
trust
in
artificial
intelligence
(AI)
based
on
cross-sectional
research
conducted
late
2023
and
early
2024
a
sample
2098
students
Poland
(1088)
United
Kingdom
(1010).
In
times
AI
progressively
penetrating
people’s
everyday
life,
it
is
important
identify
predictors
this
increasingly
dynamically
developing
technology.
theoretical
framework
for
extended
Unified
Theory
Acceptance
Use
Technology
(UTAUT),
which
highlights
significance
variables
as
AI.
We
performed
multivariate
ANOVA
regression
analysis,
comparing
between
from
UK
significant
were
nationality,
gender,
length
study,
place
religious
practices,
development.
There
need
into
expanding
UTAUT
include
new
variables.
Language: Английский
The AI-mediated intimacy economy: a paradigm shift in digital interactions
AI & Society,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Dec. 4, 2024
Language: Английский
YAPAY ZEKA UYGULAMASI VERİLERİNİN DİN EĞİTİMİ BİLİMİN TEMEL KONULARINDAKİ GÜVENİRLİĞİ
Dinbilimleri Akademik Araştırma Dergisi,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Dec. 29, 2024
Bu
çalışma,
yapay
zekâ
(YZ)
uygulamalarının
din
eğitimi
biliminin
temel
konularındaki
veri
güvenilirliğini
incelemektedir.
Araştırmada,
ChatGPT'nin
ücretsiz
(3.5
versiyonu)
ve
ücretli
(4.0
sürümlerinin
performansı,
Revize
Bloom
Taksonomisinin
hatırlama,
anlama,
uygulama,
analiz,
değerlendirme
yaratma
düzeylerine
göre
karşılaştırılmıştır.
Bulgular,
sürümün
genellikle
daha
detaylı
kapsamlı
cevaplar
sunduğunu
göstermektedir.
Örneğin,
sürüm
medrese
gibi
kavramlara
dair
tarihsel
analizlerde
derin
bilgiler
sağlarken,
çoğunlukla
yüzeysel
genel
sunmaktadır.
Bununla
birlikte
her
iki
de
kaynak
uydurma
yanlış
atıflar
önemli
eksiklikler
içermektedir.
Aynı
şekilde
versiyonda
da
zaman
bilgi
konuyla
ilgisiz
açıklamalara
rastlamak
mümkündür.
durum,
YZ’nin
bağlamında
akademik
güvenilirlik
açısından
dikkatle
değerlendirilmesi
gerektiğini
ortaya
koymaktadır.
Çalışmada
ChatGPT’nin
hassas
bir
alandaki
potansiyeli
sınırlılıkları
tartışılmaktadır.
Sonuç
olarak,
YZ
araçlarının
alanında
bireysel
öğrenmeyi
destekleme
bulunsa
doğruluğu,
etik
sorunlar
algoritmik
önyargılar
konuların
ele
alınması
gerekmektedir.
bağlamda,
gelecekte
YZ'nin
bu
uygulamalarını
iyileştirmek
için
setleri
çerçevelerin
geliştirilmesi
önemlidir.