Page 12 - Mainstreamer Volume 1, Issue 4, November 2023
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MAKING IT WORK
Assessive (A) are responsive components of the education with confidence and determination.
The author is a cybervictimogist with an experise in
model. The policy can adapt to any situation faced. artificial intelligence (AI). She currently serves as the
Mitigative refers to adverse effects countered by Head of Political and Security Manager at ASEAN Youths
adaptation, and the effective and assessive parts Malaysian Chapter. Her daily work routine includes a focus
on Article 8 of the Federal Constitution.
respond to the mitigative component. The model
prepares multiple contingency plans to build
individual capacity while meeting their demands
for upskilling.
MoHE can conduct a survey to assess its current
capacity to address the issue of digital literacy
among special education teachers,. Based on their
level of knowledge, teachers can be enrolled in
paid leave tutorial classes on technology or AI.
Bridging the intergenerational gap in digital literacy
is also crucial. By investing in upskilling teachers
in AI and inclusive education, we can create an
equitable education system that prepares students
for the rapidly changing job market, with MoHE
and the Ministry of Human Resources (MOHR)
playing their respective roles. Government
intervention and AI in education can provide
effective upskilling opportunities for diverse
students.
A customised AI syllabus is needed for
prospective teachers in SPED, tailored to their
individual needs and learning styles. SPED teachers
should collaborate with AI experts to ensure an
inclusive syllabus for all students, including those
with disabilities. The syllabus should promote the
ethical use of AI and incorporate strategies for
reducing bias in AI algorithms to prepare SPED
students for the evolving technological landscape.
Conclusion
AI is reshaping the future of accessible education.
It enhances classroom and educational inclusivity,
enabling the effective inclusion of students with
learning impairments or disabilities and fostering
greater inclusivity. Nevertheless, we must approach
this transformative technology cautiously, ensuring
that its application aligns with the principles
of inclusion and equity. In a nutshell, inclusive
education is not just important but necessary
in teaching AI. By recognising and celebrating
diversity, addressing bias in AI algorithms and
considering the ethical implications of AI, we can
ensure that AI is developed and used in a fair,
equitable and beneficial way. As we continue to
shape the future of AI, we must prioritise inclusive
11 November 2023 | Vol. 01, Issue 4