Uso del deep learning para analizar Facebook y Google Classroom en el campo educativo
Pixel-Bit Revista de Medios y Educación,
Journal Year:
2023,
Volume and Issue:
67, P. 87 - 122
Published: Jan. 1, 2023
Actualmente,
las
herramientas
tecnológicas
están
propiciado
cambios
sustanciales
en
el
proceso
de
enseñanza-aprendizaje.
El
objetivo
este
estudio
cuantitativo
y
cualitativo
es
analizar
percepciones
los
estudiantes
sobre
uso
Facebook
Google
classroom
por
medio
algoritmos
deep
learning
árbol
decisión.
Los
participantes
son
54
(42
hombres
12
mujeres)
la
Facultad
Ciencias
Universidad
Nacional
Autónoma
México
durante
ciclo
escolar
2022.
En
estudio,
resultados
del
algoritmo
señalan
que
influyen
positivamente
motivación
participación
educación
a
distancia.
Asimismo,
decisión
facilitó
identificación
condiciones
predictivas
estas
considerando
características
estudiantes.
Las
limitaciones
tamaño
muestra
variables
dependientes.
Por
lo
tanto,
futuros
trabajos
pueden
incorporación
secundarias,
preparatorias
universidades
aspectos
desarrollo
habilidades
asimilación
conocimiento.
conclusión,
profesores
utilizar
para
favorecer
creación
nuevas
actividades
escolares,
promover
alumnos
desde
cualquier
lugar
motivar
aprendizaje
bajo
modalidad
Towards digital competence from the conception of students in language instruction: A study within the master's degree in teaching in Andalusia
Journal of Technology and Science Education,
Journal Year:
2024,
Volume and Issue:
14(1), P. 45 - 45
Published: Jan. 30, 2024
The
use
of
smart
mobile
devices
and
the
integration
social
networks
into
educational
setting
is
a
reality
that
has
been
widely
studied
by
research
community.
Their
environment
increased
following
declaration
COVID-19
pandemic.
In
light
need
to
explore
conceptions
future
educators
regarding
these
technologies
in
classroom
after
having
experienced
health
crisis,
this
study
aims
describe
basic
components
teacher
trainees
with
regard
usefulness
smartphones
media
language
teaching
master’s
degree
teaching.
During
2022-2023
academic
year,
total
139
registered
students
Spanish
literature
foreign
languages
specialties
as
part
Andalusian
Unified
District
(Distrito
Único
Andaluz,
DUA)
participated
study.
respondents
completed
Usefulness
Social
Media
Smartphones
for
Educational
Action
questionnaire
(known
CURSAE,
according
its
initials).
results
show
trend
toward
positively
viewing
an
element
establish
communication
various
agents.
gender
variable
showed
no
statistically
significant
differences,
opposed
age
specialization
studied,
which
did
reveal
such
differences.
was
more
accepted
younger
those
specializing
literature.
These
are
extremely
useful
improving
initial
training
secondary
education
baccalaureate
teachers.
Language: Английский
The Use of Deep Learning in Open Learning: A Systematic Review (2019 to 2023)
The International Review of Research in Open and Distributed Learning,
Journal Year:
2024,
Volume and Issue:
25(3), P. 370 - 393
Published: Aug. 26, 2024
No
records
of
systematic
reviews
focused
on
deep
learning
in
open
have
been
found,
although
there
has
some
focus
other
areas
machine
learning.
Through
a
review,
this
study
aimed
to
determine
the
trends,
applied
computational
techniques,
and
educational
use
The
PRISMA
protocol
was
used,
Web
Science
Core
Collection
(2019–2023)
searched.
VOSviewer
used
for
networking
clustering,
in-depth
analysis
employed
answer
research
questions.
Among
main
results,
it
is
worth
noting
that
scientific
literature
following
areas:
(a)
predicting
student
dropout,
(b)
automatic
grading
short
answers,
(c)
recommending
MOOC
courses.
It
concluded
pedagogical
challenges
included
effective
personalization
content
different
styles
need
address
possible
inherent
biases
datasets
(e.g.,
socio-demographics,
traces,
competencies,
objectives)
training.
Regarding
learning,
we
observed
an
increase
pre-trained
models,
development
more
efficient
architectures,
growing
interpretability
techniques.
Technological
related
large
datasets,
intensive
computation,
interpretability,
knowledge
transfer,
ethics
bias,
security,
cost
implementation
were
also
evident.
Language: Английский
Machine learning as a teaching strategy education: A review
ICST Transactions on Scalable Information Systems,
Journal Year:
2024,
Volume and Issue:
11(6)
Published: May 14, 2024
In
this
article,
we
present
a
systematic
review
of
the
literature
that
explores
impact
Machine
Learning
as
teaching
strategy
in
educational
field.
Learning,
branch
artificial
intelligence,
has
gained
relevance
and
learning
due
to
its
ability
personalize
education
improve
instructional
effectiveness.
The
focuses
on
identifying
studies
investigating
how
been
used
settings.
Through
thorough
analysis,
various
areas
related
learning,
including
student
performance,
knowledge
retention,
curricular
adaptability,
is
examined.
findings
indicate
proven
be
an
effective
for
tailoring
instruction
individual
needs.
As
result,
engagement
academic
performance
are
significantly
improved.
Furthermore,
underscores
importance
future
research.
This
research
will
enable
deeper
understanding
can
optimize
address
current
challenges
emerging
opportunities
evolving
provides
valuable
information
educators,
curriculum
designers,
policymakers.
It
also
emphasizes
continuing
need
explore
potential
enhance
digital
age
21st
century.
Language: Английский
Análisis sobre las plataformas LMS considerando el deep learning y random forest.
Revista Fuentes,
Journal Year:
2024,
Volume and Issue:
2(26), P. 134 - 146
Published: Jan. 1, 2024
Hoy
en
día,
los
educadores
se
apoyan
la
tecnología
para
ofrecer
a
estudiantes
nuevos
ambientes
de
aprendizaje.
El
objetivo
este
estudio
mixto
es
analizar
percepción
sobre
el
uso
las
plataformas
LMS
durante
postpandemia
COVID-19
por
medio
algoritmos
deep
learning
y
random
forest.
Los
resultados
del
algoritmo
señalan
que
afecta
positivamente
análisis
información
escolar,
autonomía
intercambio
ideas
proceso
Asimismo,
forest
permitió
construcción
tres
modelos
esta
herramienta
tecnológica
considerando
perfil
estudiantes.
Las
limitaciones
investigación
cuantitativa
cualitativa
son
muestra
variables
dependientes.
Por
consiguiente,
futuras
investigaciones
pueden
rol
activo
estudiantes,
desarrollo
habilidades
asimilación
conocimiento
diversas
escuelas,
facultades
e
institutos.
implicaciones
están
relacionadas
con
eliminar
barreras
físicas,
fomentar
aprendizaje
personalizado
actualizar
actividades
bajo
modalidad
distancia.
En
conclusión,
deben
incluir
planeación
cursos
propósito
facilitar