EVELYN WULearning Experience Designer
AI & Education Researcher
All work
Case study 04Online course design

Designing an online class for decisions—not coverage.

A theory-grounded asynchronous course concept for adult learners, built around authentic public-budget decisions, guided practice, social learning, and feedback learners can use.

Experience the module
LearnersMPA students · early-career public professionals
ModeAsynchronous + optional fiscal clinic
My roleCurriculum · interaction · assessment
Course patternModel → practice → application
StatusPortfolio prototype

Design for the adult learner’s reality

Busy professionals do not need more content. They need supported practice with consequential choices.

The course serves learners balancing work, study, and family responsibilities. They bring valuable professional experience but uneven familiarity with public finance, data interpretation, and equity analysis. The design must be predictable, accessible, and immediately relevant—without reducing complex decisions to a checklist.

Course-level performanceAnalyze a public-budget problem, weigh evidence and stakeholder effects, and defend a feasible recommendation in a decision-ready memo.
TimeShort, resumable modules

15–20 minute learning blocks with a clear weekly rhythm.

ExperienceUse what adults bring

Prompts connect new frameworks to prior professional judgment.

AccessMultiple ways in

Text-first resources, transcripts, keyboard paths, and downloadable templates.

Playable online module

The $5.5M Challenge.

Experience one course segment as a learner. The interaction activates prior knowledge, models expert reasoning, provides bounded practice, and ends with a new-context transfer.

Orientation01 / 06

You are the budget analyst

Riverton must close a $5.5M gap before the city council vote.

Your taskRecommend a package that is evidence-informed, equitable, and feasible.

Time12–15 minutes

OutputA defensible recommendation

SuccessUse all three criteria

By the end, you can

Distinguish a budget constraint from a decision criterion and use evidence to explain who benefits, who bears risk, and whether the plan can work.

Theory is a design tool

Each principle changes something the learner sees, does, or receives.

The page makes the reasoning traceable: not a list of theories beside the course, but a map from learning mechanism to interaction and observable performance.

Learning theoryDesign moveWhere it appears
Adult learningAuthentic, role-relevant problem

Learners advise a city manager on a realistic fiscal trade-off.

Cognitive loadSegmenting + signaling

One decision per screen; stable labels distinguish evidence, constraint, and preference.

Worked examplesCompare before performing

Two memos make expert reasoning visible before independent practice.

Self-explanationExplain why a model works

Learners identify the criterion that makes one recommendation stronger.

Retrieval practiceRecall before instruction

A low-stakes opening question activates the idea that balance is a constraint, not the goal.

Formative feedbackCriterion-level coaching

Feedback separates evidence use, equity reasoning, and feasibility.

TransferNew context, faded support

The final county-clinic decision asks learners to reuse the reasoning frame.

Community of InquiryCognitive + social + teaching presence

Cases, structured peer review, and predictable instructor touchpoints support meaning-making.

Whole-course architecture

A repeatable rhythm lowers navigation effort and raises the level of thinking.

Each asynchronous week follows a predictable learning arc, while the cases, evidence, and professional artifact become more complex.

01

Overview

Purpose, outcome, time, access options

02

Mini-lesson

One visual model and annotated transcript

03

Worked example

Expert reasoning made inspectable

04

Guided practice

Low-stakes decision with feedback

05

Application

A staged professional artifact

06

Reflection

Transfer plan and muddiest point

Teaching presence

Predictable, visible guidance

A weekly preview, annotated exemplars, rubric-based feedback, and a short end-of-week synthesis make instructor thinking visible without requiring constant synchronous attendance.

Social presence

Structured peer sensemaking

Learners exchange one strength, one risk, and one question on a draft memo. An optional recorded fiscal clinic lets participants compare reasoning across professional contexts.

Cognitive presence

Inquiry through authentic cases

Each week begins with a public decision, moves through evidence and alternatives, and ends with an explanation the learner must defend.

Alignment from outcome to evidence

The assessment is the work learners came to become able to do.

Instead of a content-heavy final exam, learners build a decision-ready budget memo through short, feedback-rich stages.

Week 2Define the constraint and stakeholders

Feedback checks framing before learners invest in a full analysis.

Week 4Compare evidence and alternatives

A transparent rubric separates evidence quality, equity, and feasibility.

Week 6Submit and brief the recommendation

Learners deliver a concise memo plus a short accessible presentation or transcript.

UDL · RepresentationText, visuals, examples, and downloadable briefs
UDL · ActionKeyboard controls and equivalent written or recorded outputs
Feedback literacyExemplars, criteria, peer protocol, and low-stakes retries
Iteration evidenceError patterns, rubric dimensions, muddiest points, and access barriers
Evidence boundaryA course-design prototype grounded in authentic teaching and public-policy contexts.

This case demonstrates curriculum architecture, online interaction, assessment alignment, and theory-informed decisions. It does not claim that this exact module has been implemented or produced learner outcomes. A pilot would examine completion patterns, reasoning quality, transfer, accessibility, and learner experience.

What this case demonstrates

Strong online learning is not a digital container. It is a carefully supported path toward authentic performance.

Adult learningOnline course designUDLCommunity of InquiryAuthentic assessmentFormative feedback
Previous caseWould You Trust the AI?Back to selected workFour ways I design learning