DC Elective 3: Accessibility and Inclusive Design for Digital Media

Digital Communication Certificate · Elective 3

Accessibility and Inclusive Design for Digital Media

This elective treats accessibility as a teaching practice. It covers how WCAG standards and automated accessibility tools work, where they fall short, and how to use the AI literacy framework to evaluate AI-based accessibility tools, so that inclusive design becomes a structural, analytical part of how you build course materials. Plan on 3 to 4 hours: about 2 on the activities and the builder, the rest reading.

What this elective asks you to do

Audit a course digital asset for technical and communicative accessibility. (Activity 1)
Rank revisions to the asset by the barriers they remove. (Activity 1, prompt 4)
Analyze an AI accessibility tool with the structural questions and reach an operative decision. (Activity 2)
Design an assignment stating accessibility requirements as rhetorical criteria. (Activity 2 and the assignment builder)

Section 1

Accessibility as Pedagogical Practice

Accessibility in digital communication is often framed as legal compliance. The ADA, Section 508, and institutional accommodation policies create enforceable obligations, and faculty learn to meet them. That framing is accurate, and it is too narrow to build teaching on. Compliance-based accessibility is reactive. It responds to disclosed disabilities and institutional requirements. Inclusive design is proactive. It starts from the recognition that every communication environment excludes some users by default, and it works to reduce that exclusion before any student has to ask.

The difference shows up in course design. A faculty member who makes materials accessible after a student requests an accommodation has met the legal threshold. A faculty member who designs for access from the start, with captioned video, structured headings, sufficient color contrast, text alternatives for visual content, and plain-language summaries, has made materials usable for more students. That group includes students who do not know the default design is the source of their struggle, students who do not request accommodations they are entitled to, and students whose access needs have no formal recognition.

The curb cut effect in digital media

Curb cuts, the sloped openings in curbs designed for wheelchair users, also serve people pushing strollers, delivery workers, and cyclists. Captions work the same way. They serve people with hearing impairments, and they also serve non-native speakers, people watching without sound, and people with processing differences. When you design for users at the margins, access improves for everyone else.

Section 2

WCAG Standards and Their Limits

The Web Content Accessibility Guidelines (WCAG), currently at version 2.2 with 3.0 in development, are the most widely adopted technical standard for digital accessibility. They are organized around four principles (Perceivable, Operable, Understandable, Robust) and set testable success criteria at three conformance levels (A, AA, AAA). Most institutional and legal frameworks require WCAG 2.2 AA.

WCAG conformance is a necessary condition for accessible digital media. It is not a sufficient one. The guidelines address technical accessibility: whether a screen reader is able to interpret the document structure, whether interactive elements work from the keyboard, whether captions are present. They leave communicative accessibility unaddressed: whether the intended audience understands the content, whether the information architecture makes sense to someone new to the subject, whether the cognitive load fits the reader. A fully WCAG-conformant document still excludes users when it relies on jargon, convoluted sentences, or poorly organized information.

Faculty who design digital course materials need both kinds of accessibility: technical (WCAG compliance) and communicative (plain language, clear structure, appropriate complexity). Neither substitutes for the other. WCAG checklists serve the first. The second depends on careful communicative design, which no tool automates.

Section 3

AI and Automated Accessibility: Applying the Literacy Framework

A growing class of AI tools claims to automate or assist accessibility work: automated caption generators, alt-text generators, color contrast checkers, readability scorers, and "accessibility overlays" that claim to make websites compliant automatically. The AI literacy framework (Cole, 2026) shows what these tools do well and where their structural limits lie.

At the conceptual level: automated caption generators are speech recognition models. They predict the most probable sequence of words for a given audio input, using models trained on speech data. Their accuracy therefore depends on how closely the input audio resembles their training distribution. Non-standard accents, speech impairments, specialized technical vocabulary, and poor audio quality all depart from that distribution, and output quality drops. The tool generates captions. It does not guarantee accurate ones.

At the structural level: these systems reproduce the hierarchies in their training data. A caption generator trained mostly on native English speakers with broadcast-standard articulation will underperform on the full range of human speech, and its errors will concentrate on speakers already underrepresented in that data. An alt-text generator trained on general image datasets will describe discipline-specific images (a microscopy image, a specialized chart, an archaeological artifact) less accurately than common objects. The users who depend most on an accessibility feature bear the cost of its failures.

Accessibility overlays: a case in automated inaccessibility

Accessibility overlays are JavaScript tools that claim to make any website compliant by layering accessibility features on top of it. More than a thousand accessibility practitioners have signed the Overlay Fact Sheet, which documents how overlays fail. Their automated repairs cannot reliably supply alt text, form labels, or keyboard access, and they interfere with screen readers and other assistive technologies. In a WebAIM practitioner survey the fact sheet cites, 72 percent of respondents with disabilities rated overlays not at all or not very effective. The tool produces the compliance signal while worsening the experience it claims to improve.

At the operative level: using an AI-assisted accessibility tool leaves the obligation to verify accessibility in place. A faculty member who posts automated captions without reviewing them has created the appearance of captions and left the video inaccessible. The operative question is whether the output serves the users who need it. Answering it requires human review.

Section 4

Inclusive Design in Your Discipline

Inclusive design in digital communication depends on the discipline. A STEM course built on data visualizations, a humanities course built on documents, and a professional course built on presentations each make different demands on communicative accessibility. Start by identifying the access points most likely to exclude students in your field: visual complexity, reading density, specialized vocabulary, audio-dependent content.

Faculty who come to this elective from engineering face different design problems than faculty from English literature or public health. The four content sections supply the concepts. The activities ask you to apply them to the digital media you use and assign. The aim is a disciplinary inclusive design practice, grounded in the access barriers your students meet in your courses.

Activity 1

Accessibility Audit of a Course Digital Asset

Individual audit · 60 minutes

Select one substantial digital asset from your course: a recorded lecture, a slide deck, a course website or LMS page, a digital reading or document, or a video resource. Audit it at two levels, technical accessibility (WCAG criteria) and communicative accessibility (clarity, structure, cognitive load). Automated tools are optional here. Close reading and human evaluation are the primary methods.

What a complete response does

Evaluates the asset against all four WCAG principles.
Assesses comprehension for the intended audience apart from compliance.
Names two or three revisions in priority order, with the barrier each removes.

Prompts marked * need at least one full sentence each to submit the elective.

Describe the asset you selected. (Type of asset, its role in the course, its primary audience, and the access barriers it is most likely to create.) Technical accessibility evaluation. (Evaluate the asset against the four WCAG principles: Is it perceivable? Is the interface operable? Is the content understandable? Is it robust enough for assistive technology to interpret? Note each specific failure or area of concern.) Communicative accessibility evaluation. (Apart from technical compliance: Is the content comprehensible to its intended audience? Is the information architecture clear? Is the language plain wherever the subject allows? Are there cognitive load problems, such as too much information, poor chunking, or inadequate signposting?) Revision plan. (Identify the two or three highest-priority changes to this asset, and state what you would do to make each one. Address first the barriers that would keep a student from the content entirely, then the changes that would improve it.)

Contribute to the repository

Audits from specific disciplines, especially those that document communicative barriers along with technical ones, help faculty in similar fields spot access problems they might otherwise miss.

Yes, share my accessibility audit with the C²TC repository. CWSP reviews each item before posting it and credits you by name and department unless you ask otherwise.

Activity 2

AI Accessibility Tool Analysis and Inclusive Assignment Design

Two parts · 60–75 minutes

Part A applies the AI literacy framework to an accessibility tool. Part B asks you to design an assignment that develops students' capacity to produce accessible digital communication.

Part A

Structural Analysis of an AI-Assisted Accessibility Tool

Select one AI-assisted accessibility tool: an automatic caption generator, an alt-text generator, a readability scorer, an accessibility checker, or an accessibility overlay. Apply the three-level AI literacy framework (Cole, 2026) to evaluate what the tool does, what hierarchies it reproduces, and what operative decision about its use is defensible.

What a complete response does

Describes how the tool works and what it optimizes.
Answers the structural questions and states an operative decision with its conditions.
States each accessibility requirement as a criterion for communication, with its reason.

Prompts marked * need at least one full sentence each to submit the elective.

Identify and describe the tool. (Name, what it claims to do, and how it works technically. What kind of AI system is it, and what is its objective function?) Structural analysis. (What hierarchies does this tool reproduce? Who bears failure costs when it produces errors? Whose interests shaped its design? Be specific about which user populations are most exposed to the tool's limitations.) Operative decision and conditions. (Given the structural analysis, what is the defensible operative decision: use with conditions, principled refusal, or deferral? What conditions or verification practices would make its use ethically defensible? What would make it indefensible?)

Part B

Inclusive Digital Communication Assignment Design

Design one assignment or activity for your course in which students produce accessible digital communication and practice accessibility as a communicative skill. The assignment should state its accessibility requirements as explicit rhetorical criteria, written into the rubric's account of good communication.

Assignment description. (What will students produce, for what audience, and in what format? Describe the task in terms that a student in your course would understand.) Accessibility as rhetorical criteria. (State the accessibility requirements as criteria for effective communication, each with an argument for why the feature serves the intended audience. What would excellent accessible design look like in this assignment, and how does it differ from minimally adequate design?) What would you need to teach first? (What do students need to understand about accessibility, inclusive design, or the AI tools they might use before they are ready to do this assignment well? Describe the instructional preparation the assignment requires.)

Contribute to the repository

Assignments that treat accessibility as a rhetorical criterion, especially those from disciplines where digital media formats vary widely, are among the most transferable resources in the C²TC collection.

Yes, share my assignment design with the C²TC repository. CWSP reviews each item before posting it and credits you by name and department unless you ask otherwise.

Your Artifact

Build Your Accessible Assignment

Design an assignment that requires students to produce accessible digital communication. Complete the fields below, drawing on your audit from Activity 1 and your assignment design from Activity 2, to generate a formatted, print-ready assignment sheet for your course.

What a complete response does

Frames accessibility as a responsibility to the audience.
States technical requirements as rhetorical criteria.
Requires a process step where students review access.
States an AI use policy drawn from your Activity 2 decision.

Prompts marked * need at least one full sentence each to submit the elective.

Assignment title (Specific to format and audience. Signal that accessibility is a rhetorical criterion.) Course and audience (Course number and title, and the student audience.) Assignment overview (2–4 sentences for students. Frame accessibility as a communicative and rhetorical responsibility.) Task description (Specify what students will produce, for whom, in what format. Include the rhetorical situation: audience, purpose, and constraints.) Accessibility requirements (State the technical accessibility requirements as rhetorical criteria, framed by what serves the audience. Draw on your audit and AI tool analysis.) Assessment criteria (3–5 criteria that capture the quality of accessible design. Each criterion should describe what excellent work does.) Process requirements (A design rationale, an accessibility review, a peer feedback session? These steps are where students learn to think about access as they produce it.) AI use policy (State your operative decision from Activity 2 about AI-assisted accessibility tools as a clear student-facing policy.)

Reading List

Selected Sources

Cole, K. K. (2026). AI literacy is not one thing: Conceptual, structural, and operative levels for higher education governance. Pedagogies: An International Journal, forthcoming. Framework: cwspwolf.com/ai_literacy_unified.html.
Web Content Accessibility Guidelines (WCAG) 2.2. (2023). W3C Recommendation. w3.org/TR/WCAG22/
Kimmons, R. (2017). Open to all? Nationwide evaluation of high-priority web accessibility considerations among higher education websites. Journal of Computing in Higher Education, 29(3).
Overlay Fact Sheet. (n.d.). Overlay fact sheet. overlayfactsheet.com
Shew, A. (2023). Against technoableism: Rethinking who needs improvement. Norton.
Dolmage, J. T. (2017). Academic ableism: Disability and higher education. University of Michigan Press.
Price, M. (2011). Mad at school: Rhetorics of mental disability and academic life. University of Michigan Press.
Vanderheiden, G. C., & Jordan, J. B. (2012). Design for people with functional limitations. In G. Salvendy (Ed.), Handbook of human factors and ergonomics (4th ed.). Wiley.
Zdenek, S. (2015). Reading sounds: Closed-captioned media and popular culture. University of Chicago Press.

Where you will use this work

Name the course and term where you will use what you built in this elective, if you know them. (Optional. CWSP sends one question near the end of that term.)

Four questions about this elective

Your answers here go to CWSP without your name or email, apart from your elective responses. CWSP reads them to revise the elective. They are optional, and they send when you submit.

The readings and activities applied to a course I teach. The instructions for each activity were clear. About how many hours did the elective take you? What one change would make this elective more useful for your teaching?

Complete Elective 3

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