
Learning Designer |
Accessibility-First Learning Design| AI-Supported Workflows
Skye’s Instructional Design Portfolio
My Process
Accessibility-First Learning Design | AI-Supported Workflows
I am a learning designer focused on creating accessible, equitable digital learning experiences across higher education and professional learning contexts.
My work spans instructional design, curriculum development, and project management, with experience in tools such as Canvas LMS, Articulate Rise, and multimedia learning design.
Why I Design This Way
Through my academic and professional work, I have seen how inaccessible digital design - such as unclear navigation, poor contrast, missing captions, or inaccessible documents - can prevent learners from fully participating.
These experiences shape my approach:
Accessibility is not an add-on. It is the starting point.
I approach artificial intelligence as a design partner, using it to support accessibility, clarity, and efficiency while maintaining human-centered decision-making.
How I Work
My design process is structured, reflective, and centered on accessibility from start to finish.
1
Understand the Context
I begin by identifying:
-
learner needs and goals
-
potential accessibility barriers
-
levels of technological familiarity
-
cognitive and emotional considerations
2
Structure for Clarity
Before visual design begins, I focus on:
-
clear learning objectives
-
logical content organization
-
predictable navigation patterns
-
reducing cognitive load
Design for Accessibility
Accessibility is embedded throughout:
-
applying UDL principles
-
designing with high contrast and readable typography
-
ensuring captions, transcripts, and alt text
-
creating accessible documents and multimedia
3
4
Use AI to Support Design
AI supports my workflow by helping:
-
draft alt text and transcripts
-
improve clarity and readability
-
identify gaps or ambiguities
-
support iterative revisions
All outputs are reviewed to ensure accuracy and inclusivity.
5
Reflect and Iterate
I document decisions, evaluate outcomes, and refine future designs based on:
-
what worked well
-
where learners may struggle
-
opportunities for improvement
