Emerging E-learning trends: A study of faculty perceptions and impact of collaborative techniques using fuzzy interface system
Social Sciences & Humanities Open,
Journal Year:
2024,
Volume and Issue:
10, P. 101035 - 101035
Published: Jan. 1, 2024
This
study
explores
the
emerging
trends
in
e-learning
from
perspective
of
university
faculty,
who
play
a
crucial
role
shaping
future
education.
The
rapid
shift
to
digital
education
during
and
after
COVID-19
has
presented
challenges
for
faculty
grapple
with
new
technologies.
A
qualitative
research
design
was
used
develop
deep
insights
into
upcoming
trends.
Data
were
collected
sample
70
teachers
(35
males
35
females)
through
random
sampling
capital
territory
Pakistan.
data
semi-structured
interviews
analyzed
qualitatively
thematic
analysis
using
fuzzy
inference
system
on
MATLAB,
resulting
accuracy
92%
miss
rate
8%.
identified
important
such
as
artificial
intelligence,
video-based
learning,
social
collaboration,
mobile
gamification,
micro-learning,
emphasizing
their
potential
engagement
outcomes.
implementation
these
strategies
can
significantly
impact
system,
particularly
learning
systems.
findings
underscore
importance
universities
focusing
strategic
planning
development.
Moreover,
institutes
that
adopt
ethical
policies
transform
academic
environment
establish
innovative
structures
benefit
both
teachers'
work
foster
students'
engagement,
ultimately
leading
improved
efficiency
effectiveness.
study's
are
its
system.
Language: Английский
Mapping Artificial Intelligence Integration in Education: A Decade of Innovation and Impact (2013–2023)—A Bibliometric Analysis
IEEE Access,
Journal Year:
2024,
Volume and Issue:
12, P. 113275 - 113299
Published: Jan. 1, 2024
Language: Английский
An Artificial Intelligence‐Based Interactive Learning Environment for Music Education in China: Traditional Chinese Music and Its Contemporary Development as a Way to Increase Cultural Capital
European Journal of Education,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Dec. 5, 2024
ABSTRACT
This
quasi‐experimental
study
aims
to
investigate
the
effectiveness
of
artificial
intelligence
(AIVA
app)
within
an
interactive
music‐learning
environment.
The
ANCOVA
was
used
compare
performance
students
using
Artificial
Intelligence
Virtual
Artist
(AIVA)
and
those
studying
with
traditional
lecture‐based
instructions.
Students
in
AIVA
group
quickly
mastered
new
material
reported
interest
theoretical
part
course.
lecture
showed
opposite
trend.
Future
research
can
involve
a
larger
sample
3–5
universities
student
across
Europe,
Asia
Americas.
It
is
also
worth
considering
main
shortcomings
existing
online
systems
for
music
generation.
results
suggest
that
instructions
are
less
effective
than
teaching
music.
However,
it
seems
important
have
direct
interactions
during
class;
otherwise,
will
lose
interest,
pay
attention
report
fatigue.
Language: Английский
Unveiling Digital Transformation and Teaching Prowess in English Education During COVID‐19 With Structural Equation Modelling
European Journal of Education,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Nov. 13, 2024
ABSTRACT
The
present
research
looks
at
the
reputation
of
digital
platforms
in
online
pedagogical
English
education
Pakistan,
and
use
technology
virtual
classrooms
during
public
health
emergencies.
It
explores
how
faculty
members
their
teaching
approaches
by
analysing
technological
skill
level.
To
achieve
study's
objectives,
an
survey
was
undertaken
to
gather
primary
data.
University
teachers
delivering
courses
COVID‐19
several
cities
throughout
Punjab
Province
answered
questionnaire
survey.
Smart‐PLS
3.3.9
structural
equation
modelling
(SEM)
were
used
investigate
recommended
framework.
SEM
analysis
results
showed
that
all
proposed
hypotheses
confirmed.
This
presents
overview
members'
abilities
COVID‐19.
findings
are
critical
for
determining
incorporate
pandemic
period
integrate
into
higher
new
normal.
Language: Английский
Lexical Demands and Features of English Textbooks for Vietnamese 10th Graders: An In-depth Comparison of Listening Sections
SAGE Open,
Journal Year:
2024,
Volume and Issue:
14(4)
Published: Oct. 1, 2024
English
textbooks
are
the
most
pivotal
learning
materials
in
EFL
context.
However,
Vietnam,
for
general
education
randomized
by
schools,
which
arouses
a
problem
of
whether
they
equivalent
students
to
gain
same
proficiency.
This
study
attempts
report
differences
lexical
demands
and
features,
including
length,
sophistication,
diversity,
these
textbooks.
To
this
end,
researchers
compiled
corpus
54,566
tokens
extracted
from
their
listening
transcripts.
Results
profiled
AntwordProfiler
showed
that
1,000,
2,000
3,000,
3,000
4,000
word
families
BNC/COCA
wordlist
plus
four
supplementary
lists
proper
nouns
(PNs),
marginal
words
(MWs),
transparent
compounds
(TCs),
acronyms
were
necessary
comprehend
85%,
95%,
98%
all
textbooks,
correspondingly.
Moreover,
results
pairwise
comparisons
run
Jamovi
indicated
significant
text
length
diversity
between
but
not
sophistication.
In
short,
grade-10
could
support
vocabulary
although
impede
using
them
randomly.
Hence,
heightens
roles
teachers
classroom
paves
way
who
fond
Language: Английский