Metaverse Education Research Across Latin America: A Systematic Mapping Study
Communications in computer and information science,
Journal Year:
2025,
Volume and Issue:
unknown, P. 3 - 18
Published: Jan. 1, 2025
Language: Английский
Knowledge management in metaverse: does knowledge storage matter as a factor affecting adoption and acceptance?
International journal of organizational analysis,
Journal Year:
2025,
Volume and Issue:
unknown
Published: April 8, 2025
Purpose
This
study
aims
to
examine
the
behavioral
intention
of
educators
in
higher
education
institutions
regarding
adoption
knowledge
management-driven
metaverse
technology
(KM-D-MT).
Grounded
unified
theory
acceptance
and
use
2
(UTAUT2),
this
research
enhance
understanding
factors,
examining
correlations
among
key
constructs
such
as
performance
expectancy
(PE),
effort
(EE),
social
influence
(SI),
facilitating
conditions
(FC),
perceived
value
(PV),
hedonic
motivation
(HM),
stability
storage.
Design/methodology/approach
Using
a
cross-sectional
design
quantitative
approach,
collects
278
responses
from
medical
college
employs
structural
equation
modeling-partial
least
squares
analyze
data,
assessing
reliability
validity
instruments.
Findings
The
findings
reveal
significant
positive
impacts
PE,
SI,
FC,
PV
HM
on
adopt
KM-D-MT.
Stability
is
identified
factor
positively
influencing
In
addition,
storage
shows
with
intention.
highlights
transformative
potential
reshaping
management
processes.
Originality/value
terms
originality,
contributes
significantly
theoretical
perspectives
by
advancing
research,
extending
UTAUT2
frameworks
context
contributing
paradigms.
study’s
exploration
Iraqi
colleges
provides
valuable
insights
for
global
practical
applications.
Language: Английский
A Bibliometric Review of Studies about the Acceptance of Artificial Intelligence Technologies in Teaching and Learning in Higher Education
International Journal of Learning Teaching and Educational Research,
Journal Year:
2024,
Volume and Issue:
23(3), P. 275 - 292
Published: March 30, 2024
The
growing
incorporation
of
artificial
intelligence
(AI)
tools
in
higher
education
(HE)
has
led
to
the
use
indicators
that
allow
real
impact
these
be
identified
teaching
and
learning
process.
In
this
sense,
study
developed
a
bibliometric
review
on
acceptance
AI
technologies
HE,
providing
an
analysis
scientific
production,
with
aim
identifying
prevalent
thematic
areas
knowledge
gaps.
From
methodological
point
view,
was
carried
out
using
quantitative
approach
descriptive
level,
utilising
56
publications
drawn
from
Scopus
database.
results
show
sustained
evolution
trend
production
since
2021.
most
predominant
area
is
evaluation
making
greater
Technology
Acceptance
Model
(TAM)
Unified
Use
theory
(UTAUT).
Therefore,
it
concluded
existing
literature
shows
interest
investigating
due
importance
determining
generated
by
their
applications
different
contexts
or
scenarios
reality
HE
regard
extent
technology
developed.
This
because,
some
occasions,
its
application
does
not
necessarily
lead
meeting
expectations
raised
processes.
Finally,
gaps
need
addressed
future
research
are
"cultural
contextual
diversity
acceptance",
"emerging
models
"critical
elements
influencing
technologies",
HE.
Language: Английский
ChatGPT in Action: Unraveling its Impact on Student Motivation in English Language Learning
Scope Journal of English Language Teaching,
Journal Year:
2024,
Volume and Issue:
8(2), P. 448 - 448
Published: May 30, 2024
The
utilization
of
Natural
Language
Processing
(NLP)
technology
has
emerged
as
a
valuable
instrument
for
students
due
to
its
considerable
potential
in
transforming
the
educational
process.
proliferation
and
acceptance
AI
settings
have
garnered
attention
from
scholars,
prompting
comprehensive
investigation.
This
study
employs
an
experimental
design
utilizing
One
Group
Pretest-Posttest
arrangement
assess
impact
ChatGPT
on
student
motivation
learning
English
language.
participants
comprised
40
Fisheries
Academy
Biak,
Papua,
Indonesia,
selected
based
criteria
such
possession,
language
proficiency,
willingness
partake.
Data
collection
was
conducted
through
proficiency
assessments
questionnaires,
subsequently
analyzed
employing
SPSS
25.0
software.
Results
revealed
notable
enhancement
subsequent
implementation
ChatGPTin
learning.
Both
test
outcomes
questionnaire
responses
exhibited
significant
elevations
pre-test
post-test
phase.
Statistical
scrutiny
verified
substantial
disparities
between
scores,
affirming
efficacy
augmenting
motivation.
Factors
contributing
this
elevation
encompass
personalized
real-time
interactions,
adaptive
methodologies,
user-friendly
nature
technology.
Language: Английский