UX Research • Concept Design

Algorithm Animator

Concept Poster for an Educational UX Tool

A conceptual poster that frames the “Algorithm Animator” idea: who it’s for, what problem it solves, the value proposition, risks, success measures, and a path to iteration.

This is a concept poster that explores the problem–solution space visually. The one-page format also works as a teaching tool: it brings together the users, problem, value proposition, risks, success metrics, and an iterative process in a clear, scannable layout.

View Poster UXUI-Pedagogy-HCI

Overview

This poster concept explores how an “Algorithm Animator” platform could help students and educators—especially those who find algorithms too abstract—understand complex ideas through animation. It frames the users, the learning pain point, a clear “animate to understand” value proposition, and the mindset of prototyping and measuring learning outcomes.

Poster

What this poster shows

User & problem framing

Identifies students + educators as the primary users and names the core pain point: algorithms feel “too abstract.”

Value proposition

Defines “animate to understand” as the key idea—turning logic into visual, digestible steps.

Risk awareness

Acknowledges that heavy animation can overwhelm some learners—highlighting the need for guidance, pacing, and a simple step-by-step flow.

Grounded use case

Connects the concept to a real learning scenario using a Dijkstra demo case study.

Experimentation mindset

Emphasizes Prototype / try out—test the idea early and improve based on feedback.

Learning outcomes & metrics

Focuses on Learn + remember, suggesting pre/post checks and learner feedback to measure understanding.

Long-term vision

Envisions a “growing platform” that expands to more algorithms and improves through iteration with real users.

How I use this as a teaching assignment

This poster works well as a classroom artifact because it fits an entire UX concept on one page. Students can use it to practice user framing, problem statements, value propositions, risks, success metrics, and iteration planning—before designing any screens. It’s also a strong critique format: learners can point to each block and discuss what’s missing, unclear, or needs testing.

UX/UI • Pedagogy • HCI

A short teaching-focused rationale: what I designed, how I structured learning, and the interaction principles behind it.

UX/UI Design

Information architecture: users → problem → value → risks → prototype → success → process.
Visual hierarchy: clear headings + “one idea per box” supports fast scanning.
Clarity over decoration: short statements prevent the poster from becoming dense.
Consistency: repeated card/box structure reduces reading friction.
Accessibility: large type + generous spacing supports presentations and critiques.

Pedagogy

Scaffolded learning: start with “who/why,” then move to testing and measurement.
Three-act structure: what it is → how it helps → how we validate it.
Cognitive load: chunking keeps the concept teachable for beginners.
Concrete example: the Dijkstra case study anchors the abstract concept.
Reflection: students critique assumptions and propose improvements.

HCI Principles

Mental models: step-by-step animation supports cause → effect understanding.
Recognition over recall: labeled blocks help learners orient without memorizing structure.
Error prevention: calling out “overwhelm” prompts pacing + progressive disclosure.
Feedback cues: pre/post checks connect learning to measurable outcomes.
Usability heuristics: clarity, consistency, and predictable reading order.

Teaching strategy: frame → hypothesize → prototype → test → refine. This trains UX thinking before interface design.