Media Literacy Courses

About

About Media Literacy Courses

We build concise learning paths that help people evaluate information quality, reduce noise, and make informed decisions—without turning skepticism into cynicism.

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New: Bias & framing micro-drills

We added short exercises that train “notice first, interpret second.” They’re designed for 3-minute breaks.

Mission

Advance critical thinking, transparency, and safety online. We translate rigorous research into practical course modules that respect attention and reduce confusion.

  • Evidence-first content

    Sources are visible, update cadence is explicit, and claims are graded by strength.

  • Accessible by default

    Keyboard-first flows, clear focus rings, and consistent contrast across themes.

  • Minimal overhead

    Short lessons, reusable heuristics, and controlled vocabulary—less jargon, more clarity.

  • Learner autonomy

    We teach how to decide, not what to think—so you can audit your own conclusions.

Methodology

Each course is built as a sequence of “small wins”: you learn a concept, test it on real artifacts, then export a checklist you can reuse. We measure outcomes using task performance, not screen time.

1) Define the task

What decision is being made? What would “good evidence” look like?

2) Inspect the claim

Separate observation from interpretation; identify missing context and incentives.

3) Verify with constraints

Use fast checks first; escalate only when the decision deserves it.

4) Document your path

Keep a brief evidence trail so future-you can review and revise.

Milestones (text-only timeline)

Use J/K or ↑/↓ to move, Space to play/pause.

1

Next review window

12:00 until reference audit

1/8 Ready.
  • Concept: Defined the core outcomes, contrast targets, and “no dark-patterns” pledge.
  • Pilot: Launched the first three micro-courses; measured task success on real headlines.
  • Iteration: Reduced jargon, added “show your work” templates, and improved keyboard navigation.
  • Scale: Added data literacy and AI literacy tracks with consistent rubric language.
  • Review: Introduced reference audits and an update cadence, with changelog discipline.
  • Access: Reworked components to be focus-visible, high-contrast, and screen-reader friendly.
  • Community: Added office hours, feedback forms, and a repeatable “claim triage” worksheet.
  • Now: We’re refining drills that help learners spot framing, missing denominators, and false precision.

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