Motivate students for better academic achievement: A systematic review of blended innovative teaching and its impact on learning
Computer Applications in Engineering Education,
Год журнала:
2024,
Номер
32(4)
Опубликована: Март 11, 2024
Abstract
This
systematic
literature
review
explores
the
impact
of
innovative
teaching
approaches
on
student
motivation
and
academic
achievement
in
online
blended
learning.
A
thorough
search
five
electronic
databases
for
studies
published
between
January
2009
May
2023
yielded
1468
records.
Following
Preferred
Reporting
Items
Systematic
Reviews
Meta‐Analyses
(PRISMA)
Population,
Intervention,
Comparison,
Outcome
Study‐design
(PICOS)
frameworks
as
basis
eligibility
criteria,
47
were
eligible
reviewed.
The
findings
revealed
that
effects
influenced
by
various
factors,
such
course
design,
instructor's
support,
learning
environment
student's
characteristics.
common
techniques
tools
which
advanced
better
found
to
be
interactive
lessons,
use
virtual
reality
technology,
artificial
intelligence,
project‐based
learning,
inquiry‐based
jigsaw,
cloud
computing,
flipped
classroom,
peer
teaching,
feedback,
crossover
personalised
teaching.
These
positively
significantly
affected
achievement.
Furthermore,
results
also
suggest
educators
should
carefully
consider
needs
preferences
their
students
when
designing
courses
curricula
motivate
support
achieve
full
potential.
Based
these
findings,
instructor
through
is
vital
sustaining
meaningful,
interactions
promote
achievements
Therefore,
this
study
proposed
a
framework
illustrates
are
well
motivated,
they
develop
personal
qualities
interest,
confidence,
belonging,
cooperation
trust
educational
experiences,
resulting
Язык: Английский
Machine learning applied to tourism: A systematic review
Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery,
Год журнала:
2024,
Номер
14(5)
Опубликована: Июль 4, 2024
Abstract
The
application
of
machine
learning
techniques
in
the
field
tourism
is
experiencing
a
remarkable
growth,
as
they
allow
to
propose
efficient
solutions
problems
present
this
sector,
by
means
an
intelligent
analysis
data
their
specific
context.
increase
work
requires
exhaustive
through
quantitative
approach
research
activity,
contributing
deeper
understanding
progress
field.
Thus,
different
approaches
will
be
analyzed,
such
planning,
forecasting,
recommendation,
prevention,
and
security,
among
others.
As
result
analysis,
other
findings,
greater
impact
supervised
tourism,
more
specifically
those
based
on
neural
networks,
has
been
confirmed.
results
study
would
researchers
not
only
have
most
up‐to‐date
accurate
overview
but
also
identify
appropriate
apply
domain
interest,
well
similar
with
which
compare
own
solutions.
This
article
categorized
under:
Application
Areas
>
Society
Culture
Technologies
Machine
Learning
Business
Industry
Язык: Английский
Big Data and Business Intelligence in Tourism: Analyzing Trends and Enhancing Customer Satisfaction Through Online Review Analytics
Springer proceedings in business and economics,
Год журнала:
2025,
Номер
unknown, С. 507 - 536
Опубликована: Янв. 1, 2025
Язык: Английский
Enhancing the Intention to Use E-Tourism among Tourists in the Digital Era
International Journal of Academic Research in Economics and Management Sciences,
Год журнала:
2024,
Номер
13(2)
Опубликована: Май 19, 2024
This
study
delves
into
the
complex
interplay
of
direct
and
indirect
relationships
among
perceived
ease
use,
usefulness,
intention
to
with
trust
attitude
acting
as
mediators
within
tourist
context.
Grounded
in
Technology
Acceptance
Model
(TAM)
theory,
research
employed
a
meticulous
survey
questionnaire
gather
data,
resulting
robust
dataset
417
valid
responses.
Utilizing
advanced
analytical
tools
SmartPLS
4,
results
highlight
key
determinants,
exerting
significant
influence
relationship
between
use.
The
implications
these
findings
are
far-reaching,
suggesting
targeted
interventions
enhance
use
usefulness
through
mediating
factors
attitude,
ultimately
boosting
tourists'
e-tourism
services.
underscores
importance
travel
agencies
promoting
e-tourism,
while
also
calling
for
further
impact
new
technologies
organizational
culture
on
evolving
landscape
artificial
intelligence
tourism.
By
taking
comprehensive
approach,
provides
actionable
recommendations
both
individuals
organizations,
facilitating
development
holistic
strategies
technology
adoption
modern
digital
Язык: Английский
AN ANALYTICAL STUDY OF CONSUMER BEHAVIOUR TOWARDS E-SERVICES OF THE TOURISM INDUSTRY WITH SPECIAL REFERENCE TO UTTAR PRADESH
U. K. Srivastava,
Bajrang Yadav
Deleted Journal,
Год журнала:
2024,
Номер
07(03(I)), С. 85 - 90
Опубликована: Сен. 11, 2024
The
exponential
expansion
of
E-services
in
the
tourism
sector
has
completely
transformed
customer
interfaces
and
buying
patterns,
providing
convenience,
personalisation,
ease
access.
objective
this
study
is
to
examine
consumer
behaviour
relation
within
industry,
particularly
Uttar
Pradesh,
a
historically
culturally
significant
state.
Язык: Английский