Advertising Targeting And Health Outcome Disparities Chart¶
Run the Advertising Targeting And Health Outcome Disparities Chart MicroSim Fullscreen
You can embed this MicroSim in your own course website with this iframe:
About this MicroSim¶
Advertising Targeting And Health Outcome Disparities Chart is an interactive MicroSim for this health-education textbook.
Students assess and critique the documented connection between targeted advertising practices and substance-related health outcome disparities across three case examples, justifying why the disparity reflects a systems-level marketing pattern rather than a characteristic of the affected community.
Use the controls in the panel below the drawing to interact with the model, then talk through what changed and why. The MicroSim is width-responsive and can be embedded in any course page with the iframe shown above.
Bloom's Taxonomy level: Evaluate (L5) — assess, justify, critique
Lesson Plan¶
Audience¶
This MicroSim is designed for Grades 6-8. For the K-3 bands the teacher typically drives the activity on a shared screen; older students can explore the MicroSim independently.
Learning Objective¶
Students assess and critique the documented connection between targeted advertising practices and substance-related health outcome disparities across three case examples, justifying why the disparity reflects a systems-level marketing pattern rather than a characteristic of the affected community.
This activity targets Bloom's Evaluate (L5) (assess, justify, critique).
Suggested Use (about 10 minutes)¶
- Warm up (2 min). Ask students what they already know about the topic and let one volunteer describe what they see on the screen.
- Model it (3 min). Demonstrate the interaction once, thinking aloud so students hear the reasoning behind each choice.
- Guided practice (3 min). Invite students to try the interaction and to predict what will happen before they act.
- Discuss (2 min). Ask why the result came out the way it did, connecting the on-screen result back to the learning objective above.
Check for Understanding¶
Have each student (or pair) explain their result in one sentence, using the vocabulary from this chapter. Look for reasoning that matches the Evaluate-level objective rather than a lucky guess.
Specification¶
The full specification below was extracted from Chapter 10: Substance Use Disorder, Recovery, and Policy.
Type: chart
**sim-id:** advertising-and-health-disparities-chart<br/>
**Library:** Chart.js<br/>
**Status:** Specified
Bloom Taxonomy: Evaluate (L5)
Bloom Taxonomy Verb: assess, justify, critique
Learning objective: Students assess and critique the documented connection between targeted advertising practices and substance-related health outcome disparities across three case examples, justifying why the disparity reflects a systems-level marketing pattern rather than a characteristic of the affected community.
Chart type: Grouped bar chart
Purpose: Compare three documented case examples (Menthol Cigarette Marketing, Retail/Advertising Density In Lower-Income Areas, Youth Vaping Flavor Marketing) across two illustrative, clearly-labeled educational dimensions.
X-axis: Case example (Menthol Marketing, Retail/Ad Density, Youth Vaping Flavors)
Y-axis: Relative level (Low, Moderate, High) — a labeled qualitative scale, not a specific statistic
Data series:
1. "Documented Marketing/Retail Targeting" (blue bars): Menthol Marketing — High; Retail/Ad Density — High; Youth Vaping Flavors — High
2. "Associated Health Outcome Disparity" (orange bars): Menthol Marketing — High; Retail/Ad Density — Moderate; Youth Vaping Flavors — High
Title: "How Targeted Marketing Connects to Health Outcome Disparities"
Legend: top-right
Interactive features: Hovering any bar reveals a tooltip with a two-to-three sentence, factual, cited-in-plain-language explanation of the documented research behind that case; clicking a case-example label opens an expanded infobox that explicitly states the systems-level interpretation: "This disparity reflects a documented marketing and access pattern, not a difference in the community itself."
Implementation: Chart.js grouped bar chart with tooltip callbacks and click-to-expand infobox; responsive via Chart.js responsive:true option. Every infobox and tooltip includes the systems-level framing sentence so the chart cannot be read as blaming any community.