bioRxiv (Cold Spring Harbor Laboratory),
Journal Year:
2023,
Volume and Issue:
unknown
Published: Sept. 26, 2023
ABSTRACT
Background
Students
employ
a
variety
of
study
strategies
to
learn
and
master
content
in
their
courses.
Strategies
vary
widely
effectiveness
for
promoting
deep,
long-term
learning,
yet
most
students
use
ineffective
frequently.
Efforts
educate
about
effective
have
revealed
that
knowledge
is
by
itself
insufficient
encouraging
widespread
lasting
changes.
An
important
next
step
uncover
factors
influence
the
decisions
make
strategy
use.
We
explored
association
between
beliefs
intelligence
(mindset,
universality,
brilliance)
strategies.
The
are
error-prone,
carry
implications
whether
errors
normal
even
beneficial
part
learning
process
(e.g.,
growth
mindset)
or
signs
fixed
mindset).
Therefore,
we
hypothesized
reactions
would
mediate
relationship
tested
this
hypothesis
surveying
345
undergraduates
enrolled
an
introductory
biology
class
at
public,
research-active
university
northwestern
United
States.
Results
Confirmatory
factor
analysis
indicated
internal
structure
all
measures
functioned
as
expected
our
sample.
fit
structural
equation
model
evaluate
model.
found
mindset,
but
not
universality
nor
brilliance,
predicts
variance
both
errors.
In
turn,
adaptive
(but
errors)
associated
with
highly
spacing
sessions.
There
was
significant
indirect
mindset
Conclusions
Our
results
provide
evidence
mechanism
explaining
students’
academic
outcomes:
believing
improvable
more
making
errors,
which
correlates
choosing
error-prone
therefore
Future
interventions
aimed
improving
may
be
if
they
simultaneously
target
reacting
adaptively
emphasize
improvable.
Sustainability,
Journal Year:
2023,
Volume and Issue:
15(18), P. 13493 - 13493
Published: Sept. 8, 2023
Artificial
intelligence
(AI)
and
deep
learning
(DL)
have
shown
tremendous
potential
in
driving
sustainability
across
various
sectors.
This
paper
reviews
recent
advancements
AI
DL
explores
their
applications
achieving
sustainable
development
goals
(SDGs),
renewable
energy,
environmental
health,
smart
building
energy
management.
has
the
to
contribute
134
of
169
targets
all
SDGs,
but
rapid
these
technologies
necessitates
comprehensive
regulatory
oversight
ensure
transparency,
safety,
ethical
standards.
In
sector,
been
effectively
utilized
optimizing
management,
fault
detection,
power
grid
stability.
They
also
demonstrated
promise
enhancing
waste
management
predictive
analysis
photovoltaic
plants.
field
integration
facilitated
complex
spatial
data,
improving
exposure
modeling
disease
prediction.
However,
challenges
such
as
explainability
transparency
models,
scalability
high
dimensionality
with
next-generation
wireless
networks,
ethics
privacy
concerns
need
be
addressed.
Future
research
should
focus
on
developing
scalable
algorithms
for
processing
large
datasets,
exploring
addressing
considerations.
Additionally,
efficiency
models
is
crucial
use
technologies.
By
fostering
responsible
innovative
use,
can
significantly
a
more
future.
International Journal of STEM Education,
Journal Year:
2024,
Volume and Issue:
11(1)
Published: May 30, 2024
Abstract
Background
Students
employ
a
variety
of
study
strategies
to
learn
and
master
content
in
their
courses.
Strategies
vary
widely
effectiveness
for
promoting
deep,
long-term
learning,
yet
most
students
use
ineffective
frequently.
Efforts
educate
about
effective
have
revealed
that
knowledge
is
by
itself
insufficient
encouraging
widespread
lasting
changes.
An
important
next
step
uncover
factors
influence
the
decisions
make
strategy
use.
We
explored
association
between
beliefs
intelligence
(mindset,
universality,
brilliance)
strategies.
The
are
error-prone,
carry
implications
whether
errors
normal
even
beneficial
part
learning
process
(e.g.,
growth
mindset)
or
signs
fixed
mindset).
Therefore,
we
hypothesized
reactions
would
mediate
relationship
tested
this
hypothesis
surveying
345
undergraduates
enrolled
an
introductory
biology
class
at
public,
research-active
university
northwestern
United
States.
Results
Confirmatory
factor
analysis
indicated
internal
structure
all
measures
functioned
as
expected
our
sample.
fit
structural
equation
model
evaluate
model.
found
mindset,
but
not
universality
nor
brilliance,
predicts
variance
both
errors.
In
turn,
adaptive
(but
errors)
associated
with
highly
spacing
sessions.
There
was
significant
indirect
mindset
Conclusions
Our
results
provide
evidence
mechanism
explaining
students’
academic
outcomes:
believing
improvable
more
making
errors,
which
correlates
choosing
error-prone
therefore
Future
interventions
aimed
improving
may
be
if
they
simultaneously
target
reacting
adaptively
emphasize
improvable.
Periodicals of Engineering and Natural Sciences (PEN),
Journal Year:
2023,
Volume and Issue:
11(2), P. 262 - 262
Published: April 11, 2023
Digital
Citizenship
(DC)
is
a
set
of
rules,
controls,
standards,
norms,
ideas,
and
principles
followed
in
the
optimal
proper
use
technology,
which
citizens,
young
old,
need
to
contribute
progress
nation.
In
short,
it
guidance
protection,
benefits
modern
technologies,
protection
from
their
dangers.
Or
more
precisely,
smart
approach
technology.
The
concept
digital
citizenship
has
strong
relationship
with
education
system,
so
academics
higher
scientific
research
institutions
must
be
most
experienced,
effective
among
students
this
field.
Especially
after
Corona
pandemic
trend
that
universe
gone
through
towards
using
internet
all
areas
life,
including
education,
especially
integrated
become
very
important
for
citizen
digital.
This
study
dealt
sample
university
professors
(200)
questionnaires.
All
who
belong
colleges
human
specialization
possess
citizenship.
There
are
no
differences
between
gender
except
axis,
was
favor
teaching
staff
male.
addition
specialization,
science.
International Journal of Engineering Pedagogy (iJEP),
Journal Year:
2024,
Volume and Issue:
14(1), P. 39 - 49
Published: Jan. 30, 2024
Active
learning
is
a
teaching
method
that
involves
students
actively
participating
in
activities,
exercises,
and
projects
within
rich
diverse
educational
environment.
The
teacher
plays
role
encouraging
to
take
responsibility
for
their
own
education
under
scientific
pedagogical
supervision
motivates
them
achieve
ambitious
goals
focus
on
developing
an
integrated
personality
today’s
tomorrow’s
leaders.
It
important
understand
the
impact
of
two
proposed
strategies
based
active
academic
performance
first-class
intermediate
computer
subjects
social
intelligence.
research
sample
was
intentionally
selected,
consisting
99
students.
experimental
group
comprised
33
from
division
(B)
who
were
taught
according
first
strategy,
while
second
group,
represented
by
(A),
also
consisted
control
made
up
(C),
using
usual
method.
Two
tools
have
been
prepared:
achievement
test
with
40
items
measure
intelligence
20
items.
results
indicated
groups,
which
utilized
learning,
outperformed
group.
As
result,
several
conclusions,
recommendations,
proposals
made.
International Journal of Interactive Mobile Technologies (iJIM),
Journal Year:
2024,
Volume and Issue:
18(05), P. 62 - 76
Published: March 5, 2024
This
study
examines
the
impact
of
inquiry-based
learning
(IBL)
on
academic
performance
third-grade
students
in
science
unit
“Materials”
from
textbook
schools
under
Directorate
Education
Irbid,
Jordan.
A
sample
71
was
selected
and
separated
into
two
groups:
an
experimental
group
36
a
control
35
students.
The
empirical
used
IBL,
while
reference
taught
using
conventional
teaching
techniques.
An
achievement
test
multiple-choice
questions
prepared
for
study,
comprising
24
items.
test’s
content
validity
confirmed
through
expert
judgment,
its
reliability
assessed
Cronbach’s
alpha
coefficient,
which
found
to
be
0.83.
Data
were
collected
processed
SPSS
software.
findings
showed
statistically
significant
differences
average
scores
participants
post-test
based
technique
variable,
indicating
preference
survey-based
learning.
Based
these
findings,
investigation
recommends
providing
in-service
pre-service
training
IBL
supervisors
teachers
at
primary
education
level.
Research and Practice in Technology Enhanced Learning,
Journal Year:
2024,
Volume and Issue:
20, P. 010 - 010
Published: May 20, 2024
This
study
investigates
the
usefulness
of
integrating
Kahoot
application
as
an
instructional
tool
to
boost
motivation
and
academic
achievement
among
10th-grade
mathematics
students
in
Abu
Dhabi
Emirate
Schools.
A
sample
60
was
deliberately
selected
randomly
assigned
either
experimental
group
(30
students)
instructed
with
Kahoot,
or
a
control
taught
using
traditional
methods.
quasi-experimental
approach
for
this
investigate
cause-and-effect
relationship
between
utilization
mathematical
education
its
impact
on
student
achievement.
comprehensive
statistical
analysis,
specifically
employing
independent
samples
t-test
scale
one-way
ANCOVA
performance,
revealed
statistically
significant
differences
favouring
group.
These
results
signify
that
integration
holds
promise
positively
influencing
research
underscores
potential
valuable
educational
tool,
offering
insights
educators
policymakers
seeking
enhance
through
technology-integrated
instruction.
International Journal of Emerging Technologies in Learning (iJET),
Journal Year:
2023,
Volume and Issue:
18(07), P. 103 - 115
Published: April 5, 2023
The
aim
of
the
research
is
to
identify
effect
a
scenario-based
learning
in
mathematics
achievement
and
mental
motivation
for
fifth
-
scientific
grade
students
high
school.
To
achieve
it,
researchers
adopted
experimental
method
with
two
groups
(experimental
control)
post-test.
community
was
identified,
which
represents
from
first
Karkh
Education
Directorate.
sample
(60)
were
chosen
intentionally,
divided
into
groups:
an
group
that
studied
according
model;
control
usual
method.
For
purpose
collecting
data
experiment,
test
built,
its
final
form,
consisting
(10)
items
type
essay,
scale,
items.
Appropriate
statistical
analyzes
conducted,
psychometric
properties
scale
confirmed.
results
indicated
who
model
outperformed
traditional
International Journal of Emerging Technologies in Learning (iJET),
Journal Year:
2023,
Volume and Issue:
18(09), P. 203 - 215
Published: May 10, 2023
To
identify
the
impact
of
cognitive
modeling
in
mathematics
achievement,
creative
intelligence
for
secondary
school
students
during
2022/2023
academic
year.
achieve
aim
research,
researchers
adopted
experimental
research
method
with
two
groups
(experimental;
control)
a
post-test.
Community
was
identified,
which
represented
by
second
intermediate
grade
/first
KED.
(70)
male
were
intentionally
chosen
as
sample
study,
and
they
divided
into
groups:
an
who
taught
according
to
modeling,
other
control
group
studied
usual
method.
Equivalence
made
between
chronological
age,
level
intelligence,
previous
achievement
mathematics.
For
purpose
collecting
data
experiment,
test
built
its
final
form
(20)
also
out
(25)
paragraph
from
thematic
type
both
them.
Appropriate
statistical
analyzes
carried
out,
besides
done
making
sure
psychometric
properties
tests.
Based
on
findings,
excelled
over
those
traditional.
Human
action
recognition
is
an
intriguing
and
demanding
area
of
study
in
computer
vision.
Robotics,
intelligent
surveillance,
security,
healthcare,
education,
human-computer
interfaces
are
just
a
few
the
many
applications
for
it.
It
possible
to
evaluate
students'
attitudes
abilities
by
seeing
analyzing
their
behavior
classroom.
Consequently,
great
deal
research
has
used
student
pinpoint
activities.
However,
most
this
focused
on
specific
behavior,
such
raising
hands,
sleeping,
or
yawning.
For
benefit
welfare
framework
recognizing
certain
behaviors
classroom
must
be
developed.
In
research,
we
use
specialized
kind
deep
learning
called
CNN
algorithm
detect
was
developed
mainly
requiring
detection,
segmentation,
classification
images.
security
camera
systems,
other
real-world
applications.
When
shows
behaviors,
as
yawning,
nail-biting,
alarm
sounds
out.
can
handle
better
detection
performance
compared
with
tiny
target
algorithms
YOLO
technique.
Being
aware
how
students
interact
classroom,
when
they
uncomfortable,
distracted,
disengaged,
reacting
accordingly
may
end
up
enjoyable
environment
enhanced
educational
quality.
Using
feature
extraction
approach
study,
create
categorize
like
biting
nails,
yawning
based
eye
mouth
traits.
International Journal of Education and Humanities,
Journal Year:
2024,
Volume and Issue:
15(2), P. 121 - 130
Published: July 27, 2024
In
the
era
of
digital
transformation,
integration
information
technology
into
learning
has
posed
challenges
and
opportunities.
Navigating
global
knowledge
economy
requires
individuals
to
acquire
skills
facilitating
adaptation
evolving
economic
societal
landscapes.
Deep
learning,
recognized
as
pivotal
for
addressing
real-world
fostering
adaptive
capabilities,
garnered
attention
in
educational
research.
This
study
investigates
effect
a
deep
teaching
approach
on
academic
achievement
computer
science
students
at
higher
vocational
institution.
Employing
an
experimental
research
method
with
control
group,
involved
pre-
post-tests
first-grade
students.
Results
from
quasi-experimental
analysis
college
reveal
that
implementation
methods
significantly
enhanced
both
levels
performance
surpassing
outcomes
group
under
traditional
methods.
Statistical
analyses,
including
paired
samples
t-tests
independent
t-tests,
underscore
ineffectiveness
levels.
The
provides
robust
evidence
supporting
practical
substantial
benefits
integrating
practices,
emphasizing
their
potential
enhancing
student
outcomes.
