AI in the classroom: Exploring students’ interaction with ChatGPT in programming learning
Education and Information Technologies,
Journal Year:
2025,
Volume and Issue:
unknown
Published: Jan. 15, 2025
Language: Английский
Assessing Students´ Adoption of ChatGPT in the Engineering Faculty: Insights from a Honduran Higher Education Setting
Lecture notes in networks and systems,
Journal Year:
2025,
Volume and Issue:
unknown, P. 514 - 524
Published: Jan. 1, 2025
Language: Английский
Las nuevas demandas educativas en ingeniería industrial impulsadas por la automatización en la era digital
Mirian Julia Enciso Huaman,
No information about this author
Oscar Enrique Fuchs Angeles
No information about this author
Sciencevolution,
Journal Year:
2024,
Volume and Issue:
3(11), P. 145 - 157
Published: Sept. 27, 2024
En
el
mundo
actual
presidido
por
tecnologías
emergentes
como
la
automatización,
inteligencia
artificial
(IA),
robótica,
internet
de
las
cosas
(IOT),
big
data
y
realidad
aumentada;
educación
superior
está
atravesando
un
periodo
inminente
transformación.
Por
ello,
presente
artículo
brinda
una
revisión
bibliográfica
detallada
sobre
nuevas
demandas
educativas
para
carrera
ingeniería
industrial.
Mediante
aplicación
enfoque
metodológico
cualitativo,
carácter
bibliográfico
documental,
se
realizó
selección
evaluación
36
fuentes
académicas
contemporáneas,
identificando
los
enfoques
educativos,
retos
curriculares,
innovaciones
pedagógicas
competencias
técnicas
blandas
relevantes
Industria
4.0.
Como
resultado
del
estudio,
destaca
dominio
programación,
análisis
datos,
robótica
colaborativa,
sistemas
ciberfísicos,
trabajo
en
equipo,
adaptabilidad
pensamiento
crítico.
ese
contexto,
planes
estudio
industrial
están
adaptando
incluir
enseñanza
estos
nuevos
conocimientos,
con
metodologías
innovadoras
aprendizaje
basado
proyectos,
simulaciones
uso
aumentada.
También,
hace
notar
papel
protagónico
que
deben
tener
universidades,
primero
superando
preexistentes,
resistencia
al
cambio,
brechas
infraestructura,
actualización
curricular
su
plana
docente.
Además,
potenciando
sus
capacidades
formación
IA
enseñanza.
último,
creando
red
colaborativa
entre
universidades
industria,
manera
pueda
asegurar
calidad
vanguardia
programas
educativos.
What drives economics students to use generative artificial intelligence?
Knowledge and Performance Management,
Journal Year:
2024,
Volume and Issue:
8(2), P. 51 - 64
Published: Nov. 5, 2024
The
increasing
integration
of
Artificial
Intelligence
(AI)
into
education
requires
studying
the
motives
for
its
use
among
students.
This
study
aims
to
identify
key
motivations
economics
students
AI
and
compare
these
by
grade
level
gender.
examines
satisfaction
with
analyzes
number
tools
used.
An
anonymous
empirical
was
conducted
264
from
Faculty
Economics
at
Taras
Shevchenko
National
University
Kyiv,
Ukraine.
Data
analysis
included
descriptive
statistical
methods,
non-parametric
exploratory
factor
analysis.
found
that
students’
main
using
are
automation
routine
tasks
(34.2%)
need
save
time
(21.5%),
while
18.7%
compensate
lack
experience.
Among
Bachelor’s
students,
such
as
automating
saving
increased
53%
58%
over
course
their
studies,
experience
decreased
22%
15%.
In
contrast,
Master’s
showed
a
decrease
in
(from
36%
28%)
but
an
increase
15%
18%
25%).
terms
gender,
men
more
likely
learning
personal
development,
women
slightly
work.
More
than
38%
respondents
say
they
least
2
AIs
achieve
goals.
Acknowledgment
publication
is
based
upon
work
24-PKVV-UM-002,
‘Strengthening
Resilience
Universities:
Czech-Ukrainian
Partnership
Digital
Education,
Research
Cooperation,
Diversity
Management,’
supported
Czech
Development
Agency
Ministry
Foreign
Affairs
under
initiative
‘Capacity
Building
Public
Universities
Ukraine
2024.’
Language: Английский
Analyzing the Impact of a Structured LLM Workshop in Different Education Levels
Vasil Kozov,
No information about this author
Boyana Ivanova,
No information about this author
K. Shoylekova
No information about this author
et al.
Applied Sciences,
Journal Year:
2024,
Volume and Issue:
14(14), P. 6280 - 6280
Published: July 18, 2024
An
observation
on
the
current
state
of
teaching
large
language
models
(LLMs)
in
education
is
made.
The
problem
lacking
a
structural
approach
defined.
A
methodology
created
order
to
serve
as
basis
workshop
students
with
different
types
backgrounds
correct
use
LLMs
and
their
capabilities.
plan
created;
instructions
materials
are
presented.
practical
experiment
has
been
conducted
by
dividing
into
teams
guiding
them
create
small
project.
Different
used
for
purposes
creating
fictional
story,
images
relating
very
simple
HTML,
JS,
CSS
code.
Participants
given
requirements
that
consider
limitations
LLMs,
approaches
creatively
solving
arising
issues
due
observed.
students’
projects
hosted
web,
so
they
can
see
results
work.
They
opportunity
motivation
future
development.
survey
distributed
all
participating
students.
analyzed
from
angles
conclusions
made
effectiveness
completing
its
goal
defined
problem.
Language: Английский
Innovation Off the Bat: Bridging the ChatGPT Gap in Digital Competence among English as a Foreign Language Teachers
Gulsara Urazbayeva,
No information about this author
Raisa Kussainova,
No information about this author
Aikumis Aibergen
No information about this author
et al.
Education Sciences,
Journal Year:
2024,
Volume and Issue:
14(9), P. 946 - 946
Published: Aug. 28, 2024
This
research
explores
the
guided
experimental
implementation
of
ChatGPT
as
a
tool
for
developing
teachers’
skills
in
teaching
English.
The
intervention
involved
24
in-service
English
Foreign
Language
(EFL)
teachers
who
engaged
crafting
activities
and
assessments
using
researcher-designed
prompts.
Utilizing
mixed-methods
approach,
researchers
assessed
participants’
integration
proficiency
through
custom-designed
assessment
aligned
with
technological
pedagogical
content
knowledge
framework.
eight-week
introduced
educators
to
various
applications
EFL
teaching,
including
lesson
planning.
A
quantitative
analysis
revealed
statistically
significant
improvements
across
all
measured
dimensions.
qualitative
findings
highlight
perceived
benefits,
challenges,
future
prospects
education.
While
practical
significance
improvement
was
modest,
results
suggest
that
generative
chatbots
can
bolster
ability
leverage
this
technology
appropriately.
study
contributes
limited
body
empirical
on
integrating
large
language
models
into
offers
insights
challenges
contexts.
Language: Английский