Advances in marketing, customer relationship management, and e-services book series,
Год журнала:
2024,
Номер
unknown, С. 147 - 176
Опубликована: Дек. 13, 2024
The
rapid
growth
of
educational
technology
highlights
the
essential
need
for
personalized
learning
in
blended
environments.
This
study
uses
Multi-Criteria
Decision
Making
(MCDM)
methodologies,
including
Analytic
Hierarchy
Process
(AHP),
Fuzzy
AHP,
and
Network
(ANP),
to
evaluate
prioritize
personalization
strategies
EdTech
platforms.
research
identifies
data-driven
adaptive
as
most
critical
strategy
(36.46%),
followed
by
AI-powered
content
recommendations
(15.46%)
paths
(15.11%).
It
reveals
that
are
interconnected,
creating
dynamic
feedback
loops
reinforce
one
another,
enabling
continuous
optimization.
provides
a
holistic
framework
technologists,
policymakers,
designers.
approach
bridges
technological
innovation
with
pedagogy,
emphasizing
adaptive,
data-informed
systems
respond
dynamically
learner
needs,
ensuring
balance
between
quality.
Advances in educational technologies and instructional design book series,
Год журнала:
2024,
Номер
unknown, С. 195 - 222
Опубликована: Дек. 13, 2024
This
chapter
explores
the
transformative
impact
of
artificial
intelligence
(AI)
on
curriculum
design
and
course
management
in
education.
AI-driven
systems
enable
instructors
to
tailor
learning
experiences
students'
individual
needs,
styles,
progress,
enhancing
engagement
support
through
real-time
feedback,
intelligent
tutoring,
data-driven
assessments.
By
automating
administrative
tasks
like
grading
scheduling,
AI
allows
teachers
devote
more
time
instruction
mentoring.
However,
integrating
education
raises
ethical
considerations,
particularly
regarding
data
privacy,
security,
algorithmic
bias.
emphasizes
importance
transparent
practices
protect
student
information
ensure
fairness
applications.
While
enhances
educational
processes,
it
cannot
replace
guidance,
empathy,
critical
thinking
skills
that
human
educators
bring.
Ultimately,
complements
instruction,
creating
a
inclusive,
efficient,
adaptable
environment
for
all
students.
International Journal of Essential Competencies in Education,
Год журнала:
2024,
Номер
3(2), С. 119 - 157
Опубликована: Дек. 9, 2024
The
integration
of
artificial
intelligence
(AI)
in
education,
exemplified
by
tools
like
ChatGPT,
represents
a
transformative
shift
teaching
and
learning
methodologies.
This
study
explores
ChatGPT’s
role
advancing
personalized
learning,
empowering
educators,
enhancing
accessibility
within
educational
ecosystems.
Using
systematic
literature
review
supported
bibliometric
analysis,
the
paper
identifies
key
trends
insights
into
AI-driven
technologies.
Findings
demonstrate
ChatGPT's
capacity
to
personalize
instruction
generating
adaptive
content,
delivering
real-time
feedback,
facilitating
curriculum
development.
It
also
alleviates
educators'
workloads
through
automated
grading,
lesson
planning,
administrative
support.
However,
challenges
such
as
ethical
concerns
regarding
data
privacy,
inherent
AI
biases,
potential
over-reliance
on
automation
hinder
its
widespread
adoption.
emphasizes
necessity
guidelines,
transparency,
balanced
mitigate
these
risks.
In
conclusion,
ChatGPT
holds
substantial
for
improving
outcomes
fostering
inclusive,
adaptive,
efficient
environments.
Future
efforts
should
focus
refining
technologies
reduce
uphold
equip
educators
with
skills
needed
effectively
integrate
pedagogical
practices.
Responsible
implementation
will
be
unlocking
full
education.
Advances in marketing, customer relationship management, and e-services book series,
Год журнала:
2024,
Номер
unknown, С. 147 - 176
Опубликована: Дек. 13, 2024
The
rapid
growth
of
educational
technology
highlights
the
essential
need
for
personalized
learning
in
blended
environments.
This
study
uses
Multi-Criteria
Decision
Making
(MCDM)
methodologies,
including
Analytic
Hierarchy
Process
(AHP),
Fuzzy
AHP,
and
Network
(ANP),
to
evaluate
prioritize
personalization
strategies
EdTech
platforms.
research
identifies
data-driven
adaptive
as
most
critical
strategy
(36.46%),
followed
by
AI-powered
content
recommendations
(15.46%)
paths
(15.11%).
It
reveals
that
are
interconnected,
creating
dynamic
feedback
loops
reinforce
one
another,
enabling
continuous
optimization.
provides
a
holistic
framework
technologists,
policymakers,
designers.
approach
bridges
technological
innovation
with
pedagogy,
emphasizing
adaptive,
data-informed
systems
respond
dynamically
learner
needs,
ensuring
balance
between
quality.
