The Impact of Implementing a Moodle Plug-in as an AI-based Adaptive Learning Solution on Learning Effectiveness: Case of Morocco
International Journal of Interactive Mobile Technologies (iJIM),
Journal Year:
2024,
Volume and Issue:
18(01), P. 133 - 149
Published: Jan. 12, 2024
This
article
presents
feedback
on
the
implementation
of
an
Artificial
Intelligence-based
adaptive
learning
Moodle
plugin
aimed
at
enhancing
engagement
levels
and
academic
performance
102
Moroccan
high
school
students.
The
primary
objective
this
study
was
to
assess
compare
students
utilizing
system
with
those
employing
conventional
methods.
To
guarantee
efficacy
approach,
a
participant
satisfaction
survey
comprehensive
summative
evaluation
were
conducted,
revealing
positive
impact
AI-based
participants.
results
highlight
potential
benefits
integrating
AI-driven
into
computer
science
curricula,
emphasizing
how
it
may
raise
student
performance.
These
strengthen
determination
use
teaching
methodology
in
future
educational
activities.
Language: Английский
Big Data Analytics in Higher Education: A New Adaptive Learning Analytics Model Integrating Traditional Approaches
International Journal of Interactive Mobile Technologies (iJIM),
Journal Year:
2024,
Volume and Issue:
18(06), P. 24 - 39
Published: March 19, 2024
Despite
the
explosion
of
interest
in
adaptive
learning
and
analytics
(LA)
for
higher
education
(HE),
there
has
been
relatively
little
research
integrating
educational
approaches’
indicators
to
build
an
model.
Adaptive
(ALA)
models
have
grown
favor
HE
due
their
claims
enhancing
student
outcomes,
providing
personalized
paths,
allowing
students
interact
with
course
material
at
own
pace.
With
focus
on
using
data
personalize
experience
environment
which
occurs,
LA
centers
through
meticulous
analysis,
while
big
(BD)
addresses
overarching
challenges
opportunities
arising
from
extensive
varied
datasets.
These
concepts
are
interconnected,
where
ALA
specifically
apply
BD
principles
within
context.
In
this
paper,
we
explain
some
used
HE,
define
essential
perceptions
related
LA,
analyze
approaches
fundamental
implications.
Besides,
try
connect
model
based
collected
order
establish
efficient
We
include
all
steps
cited
before
that
resolves
limitations
oldest
models,
thus
improving
learner’s
process
by
adding
treating
additional
indicators.
Language: Английский
An Adaptive M-Learning Usability Model for Facilitating M-Learning for Slow Learners
International Journal of Interactive Mobile Technologies (iJIM),
Journal Year:
2023,
Volume and Issue:
17(19), P. 48 - 69
Published: Oct. 10, 2023
Mobile
devices
have
evolved
from
communication
tools
to
versatile
platforms
for
various
purposes,
including
learning.
Usability
is
crucial
practical
mobile
learning
applications,
ensuring
ease
of
use
and
expected
performance.
However,
existing
research
on
educational
apps
has
primarily
focused
typical
learners,
neglecting
the
specific
requirements
slow
learners
who
face
cognitive
limitations.
In
this
work,
we
fill
gap
by
proposing
an
adaptable
learning-oriented
usability
model
(ALUM)
specifically
tailored
support
learners.
The
conducts
a
detailed
analysis
systematic
review
identify
problems
users
investigate
how
respond
in
terms
efficiency,
effectiveness,
satisfaction,
outcomes.
Twenty-four
participants
classified
as
evaluated
25
HTML-based
apps.
evaluation
revealed
critical
deficiencies
concerning
needs
particularly
user-friendliness
learnability,
leading
their
dissatisfaction.
We
propose
that
leverages
hybrid
recommendation
system
address
these
challenges.
incorporates
navigational
graph,
ontology,
item
matrix
provide
personalized
topic
recommendations,
tailoring
content
delivery
materials
based
individual
preferences.
By
enhancing
experience
proposed
aims
improve
This
bridges
between
academic
applications
interactive
technologies.
presented
paper
offers
framework
supporting
emphasizing
its
essential
components
interactions
enhance
outcomes
user
group.
Language: Английский
Exploring Pathways for Mobile Interaction Technologies to Foster Innovation in Entrepreneurial Education Models
Jibo Ye
No information about this author
International Journal of Interactive Mobile Technologies (iJIM),
Journal Year:
2024,
Volume and Issue:
18(10), P. 19 - 33
Published: May 22, 2024
With
the
rapid
advancement
of
information
technology,
mobile
interaction
technologies
have
emerged
as
a
pivotal
force
driving
educational
innovation,
especially
in
realm
entrepreneurial
education.
These
not
only
transformed
methods
acquiring
and
sharing
knowledge
but
also
facilitated
collaboration
among
learners.
This
investigation
aims
to
explore
how
can
foster
innovation
education
models.
The
focus
is
specifically
placed
on
construction
interaction-based
collaborative
learning
team
environment
model
oriented
towards
building
well
identifying
strategies
that
effectively
enhance
teams
based
localized
influence
networks.
It
has
been
discovered
optimizing
environments
improves
quality
outcomes
teams,
providing
new
pathways
for
Existing
research,
however,
lacks
comprehensive
discussion
deep
integration
with
education,
terms
systematic
studies
process
construction.
Through
theoretical
exploration
empirical
analysis,
this
manuscript
bridge
research
gap,
practical
support
endeavor
holds
significant
value
implications.
Language: Английский
Usability Evaluation of North African E-Government Services in the Context of Optimizing User Experience when Using Mobile Phones
International Journal of Interactive Mobile Technologies (iJIM),
Journal Year:
2024,
Volume and Issue:
18(08), P. 102 - 115
Published: April 23, 2024
E-governments
are
considered
the
primary
gateway
through
which
citizens
can
access
services
and
benefit
from
information
provided
by
electronic
platforms
when
needed.
Although
situation
in
developed
countries
has
shifted
governments
to
local
services,
many
developing
still
encounter
various
challenges,
such
as
ease
of
use
enhancing
user
experience.
This
study
aims
help
address
obstacles
faced
North
African
countries,
including
Morocco
Tunisia,
context
e-government
usability.
It
evaluates
accessibility
these
sites,
addresses
issues
involved
using
them,
suggests
solutions
that
could
enhance
experience
improving
use.
The
limited
previous
research
on
this
region
makes
even
more
relevant.
Research-based
web
design
usability
guidelines
(RBWDUG),
specifically
chapter
optimizing
experience,
serve
foundation
research,
facilitating
assessment
satisfaction.
Converting
valuable
tool
into
a
questionnaire
enabled
achieve
results
evaluation.
evaluation
ten
websites
each
country,
with
100
participants
assessment,
reveals
common
pitfall
it
issue
impacts
satisfaction
effectiveness
services.
An
important
relationship
been
established
between
efficiency
emphasizes
vital
connection
service
while
recommending
improvements
based
feedback.
Language: Английский