Access & Inclusion in AI and Digital Education
web-development.
Course Modules:
Module 1: What is Access & Inclusion in Tech?
Definitions and global perspectives
Barriers to digital access: physical, cognitive, economic, linguistic
Inclusion as a design mindset, not an afterthought
Module 2: Universal Design Principles
Designing for all users from the start
Examples from education, mobile apps, and public systems
Inclusive content, navigation, and interaction design
Module 3: Accessibility Standards and Compliance
Overview of WCAG 2.1, ADA, and EN 301 549
Tools for accessibility testing (axe, WAVE, Lighthouse)
Common mistakes and how to avoid them
Module 4: Inclusive AI Systems
Training AI on diverse, representative data
Designing multilingual, bias-aware, culturally sensitive AI
Voice, vision, and text interfaces for assistive contexts
Module 5: Inclusive Digital Learning Platforms
Localizing content for underserved communities
Building tools for users with low literacy or poor connectivity
Case studies in inclusive edtech design
Module 6: Capstone Project – Inclusive Design Audit
Choose an app, AI system, or e-learning platform
Evaluate access and inclusion using learned tools
Submit a report with findings and redesign recommendations
Tools & Technologies Used:
WAVE, axe DevTools, Google Lighthouse
WordPress/HTML accessibility features
Google Translate, screen readers (NVDA, VoiceOver)
Optional: Figma for inclusive UX design
Target Audience:
Developers and product designers
Educators and course creators
Nonprofits, NGOs, and civic tech teams
Teams working in global, multilingual, or accessibility-focused sectors
Global Learning Benefits:
Build tech that serves more people—fairly and equally
Ensure your courses and apps are usable by all
Reduce barriers in education, AI, and digital tools
Lead with ethical, inclusive innovation
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