Week 3 Independent Study and Submission

Self-learning Asset Development 6 hours · 5 activities

Investigation

1 Plan and Setup

⏱ 60 min

Confirm design scope, gather two to three platform specification sources, set up design tool.

Investigation

2 Research and Capture

⏱ 90 min

Find and document two to three reference visual assets from your campaign category.

Production

3 Asset Development

⏱ 120 min

Produce or specify two campaign-ready visual assets with a decision record.

Production

4 Edit and Document

⏱ 60 min

Complete the design decision record, check accessibility, export.

Assessment

5 Quiz and Submit

⏱ 30 min

Complete Moodle quiz and submit the final visual asset set PDF by 23:59 MVT.

Your six hours of self-directed study happen outside class across the week. A well-documented visual asset set at this stage pays forward: the design decisions you record here become the reference brief for every visual asset you produce in Weeks 4 to 15. Use the time to extend the AI-assisted, Canva-finalised workflow from the tutorial, complete your visual asset set, document every design decision, and submit your final PDF.

Independent Study

Your six hours of independent study should turn your tutorial draft assets and decision record into a completed, documented visual asset set that another reader can evaluate and challenge. The workflow is the same one you practised in the tutorial: your own brief first, AI widening your options and auditing your draft at the same checkpoints (layout ideation, dual coding congruence, alt text), and Canva for every build, fix, and final export. Use the time deliberately:

60 minutes to confirm your design scope, locate and cite platform specification sources, and set up your design tool
90 minutes to find and document two to three reference visual assets from comparable campaigns
120 minutes to produce or fully specify two campaign-ready visual assets with a decision record for each
60 minutes to complete the design decision record, check accessibility, and write alt text
30 minutes to complete the Moodle quiz and submit your final PDF by 23:59 MVT

Working from the chapter’s worked examples

Three figures from this week’s chapter model exactly what a completed entry looks like: Figure 7 shows a finished, annotated asset with each design decision traced to a canvas element, Figure 8 shows the evidence-based/inferred/assumption test applied to each type of visual decision, and Figure 4 shows the classification test applied to six sample images. Hold your own draft next to these three and check that your documentation reaches the same level of detail.

Your Week 3 submission should include:

Campaign topic and scope, with a one-sentence explanation of which visual design challenge the Week 2 canvas implies.
The hierarchy of effects stage and ELM route from your Week 2 canvas, with a note on what visual decisions these two elements already imply.
Primary platform and secondary platform, with format specifications cited from official documentation (URL and date accessed).
Reference visual asset record: two to three examples from comparable campaigns with notes on visual hierarchy, connotation, and platform fit.
Two campaign-ready visual assets (exported images or complete sketches), each with a completed design decision record (Table 2), every entry labelled evidence-based, inferred, or [ASSUMPTION] with a testing method.
Colour contrast record: hex codes for the primary text-to-background pair and the WCAG 2.2 AA contrast ratio.
Alt text for each image in the asset set, written to the function standard: what does this image communicate in context, rather than what it depicts?
Image evidence tier for each visual, placed on the five-level pyramid from the chapter, with the documentation that tier requires: a disclosure plan for AI-generated elements, or a source and licence for stock and owned photography.
AI prompt log with at least three prompts, AI outputs used, evidence links, and student decisions.
A 200-word reflection identifying the one design assumption in your specification that carries the highest risk and explaining what evidence would resolve it.
A reference list in a consistent citation style.

The visual asset set submission should read as a design brief that a colleague could execute independently. A reader with no prior knowledge of the campaign should be able to understand the target, the hierarchy stage, the design rationale, and the accessibility status of every asset, and identify which decisions are evidence-based, which are inferred, and which remain open assumptions. A strong submission makes defensible design decisions while staying explicit about what remains uncertain.

Formative Checklist

Use Table 1 before submission. The checklist is designed to catch untraceable design choices, missing platform specifications, and accessibility gaps.

Table 1: Formative checklist for the Week 3 visual asset set

Criterion	Check
Canvas traceability	Every design decision (colour, type, image, layout) is traced to the hierarchy stage, ELM route, or positioning claim from the Week 2 canvas
Platform specification	Format dimensions, safe zone, and file size limit are cited from official platform documentation with a URL and access date
Colour and contrast	The primary text-to-background contrast ratio is recorded and meets WCAG 2.2 AA (4.5:1 for normal text, 3:1 for large text)
Typography	The typeface and minimum point size are specified, and the type renders legibly at the platform’s compressed output dimensions
Image evidence tier	Each image is placed on the five-level evidence pyramid from the chapter (consented, brand-owned, licensed stock, AI-generated disclosed, or generic stock), with a documented justification
AI documentation	Any AI-generated image has the prompt, tool name, version, and disclosure plan recorded in the prompt log
Alt text	Alt text is provided for each image and describes what the image communicates in context, rather than what it depicts visually
Evidence labelling	Every decision record entry is labelled evidence-based (with a source), inferred, or [ASSUMPTION] with a proposed testing method
AI prompt log	At least three prompts with AI outputs, evidence links, and student decisions are documented
Reflection and presentation	The 200-word reflection identifies the highest-risk design assumption and the evidence that would resolve it, and the PDF is readable and correctly named

Review Questions

Cognitive fluency theory predicts that processing ease is attributed to quality and credibility. What specific design choice can increase or decrease fluency, and how would you test whether the change improved it?
You are designing an asset for an audience at the Preference stage of the hierarchy. Your ELM analysis suggests they are processing centrally. What does this combination imply for the ratio of visual impact to argument in your design?
A team selects a stock image of a beach for their eco-resort campaign because it “looks like the Maldives.” According to the image evidence pyramid, which level does this choice sit at, and what documentation minimum would move it up to the licensed-stock tier?
An asset passes WCAG 2.2 AA for contrast but uses a red-green colour distinction as the sole indicator of two different programme options. Why does this still present an accessibility problem, and what would you change?
A student uses an AI tool to generate a photorealistic image of a group of students in a Maldivian classroom to illustrate a certificate programme promotion, and publishes it without an AI disclosure. Identify two distinct risks this creates.
The same visual asset is published on Facebook Feed (1200 x 628 px) and Instagram Story (1080 x 1920 px). The headline is positioned in the top 12 per cent of the frame. What will happen to the headline in the Instagram Story format, and what should the designer do before production?
You have written alt text that reads “Students sitting in rows in a classroom.” Explain why this fails the alt text standard and rewrite it for a certificate programme campaign where the image illustrates peer learning and collaborative study.
A campaign team’s visual design decisions are entirely based on the lead designer’s aesthetic preference. No brand guidelines, platform specification checks, or audience references are documented. According to the evidence framework, what label applies to this entire asset set, and what is the minimum documentation step that would improve its status?

Week 3 at a glance

The central theoretical contribution of this week is the connection between visual design decisions and the evidence framework: every element of a campaign image is a claim, and claims require evidence, a documented inference, or an explicit assumption label. Cognitive fluency, dual coding, and semiotics explain how images shape audience response before deliberate evaluation begins, making visual design a strategic decision rather than a decorative one. The production method is equally central: your own brief first, AI widening your options and auditing your draft at fixed checkpoints, and Canva carrying every decision through to the asset you export and submit. In Week 4 you will move from visual strategy to verbal strategy: the wording, framing, and copy structure decisions that fill the visual hierarchy you established this week.

Key Takeaways

Visual design is a set of claims about the audience, the offering, and the context, rather than a post-planning decoration, and it is subject to the same evidence discipline as any other campaign decision. Cognitive fluency, dual coding, and semiotics explain how images work on the audience before any deliberate evaluation takes place. Visual hierarchy and platform format constraints determine whether the intended sequence of attention is realised in the actual output. Accessibility standards set the minimum acceptable threshold for including the full target segment, rather than serving as an add-on for edge cases.

The visual asset set you built this week is a first-draft design brief tied to your Week 2 canvas, produced through the same AI-assisted, Canva-finalised workflow you practised in the tutorial. Every decision should be traceable to a canvas element, or labelled as inferred or assumed with a testing method. A traceable, accessibility-checked, evidence-defended specification is a campaign component. An undocumented one remains a creative exercise.

In Week 4, you will move from visual strategy to the language of digital persuasion: the wording, message structure, and copy decisions that determine whether the audience reads, responds, or scrolls past. The visual hierarchy decisions you made this week determine the frame into which the words must fit.