Digital access, inclusion and responsible data use

45 min
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Digital access, inclusion and responsible data use

Computing systems do not reach everyone in the same way. A feature that assumes a fast connection, a modern phone, perfect vision or one language can exclude the very people it claims to help. Accessibility is not an optional visual polish; it is a design requirement that shapes interaction, content, alternatives and testing.

Responsible data use starts with purpose and minimisation. Collect only what a feature needs, explain why it is collected, protect it, limit who can see it and allow correction or removal where appropriate. A platform designed for South African schools should also consider load-shedding, data costs and shared devices instead of assuming constant private connectivity.

Worked reasoning. A revision site provides downloadable lessons, keyboard navigation, meaningful headings, readable contrast and low-data visuals. It stores progress needed for revision but not unrelated contacts or precise location. A learner using a shared device can log out without exposing another learner’s history.

Exam lens. Name a concrete barrier, its affected user and a practical design response. General statements such as “make it accessible” need an observable change.

Which statement is the most defensible principle for Digital access, inclusion and responsible data use?

Enter the key term for Digital access, inclusion and responsible data use. What design quality makes a system usable by people with different abilities, devices and contexts?

A video-only lesson fails during load-shedding and uses too much mobile data. Name one responsible alternative.

Name the concise safeguard or principle that completes this lesson’s scenario: A video-only lesson fails during load-shedding and uses too much mobile data. Name one responsible alternative.