A lesson exploring the environmental impact of AI data centers, requiring students to research local impacts, take an ethical stance, and visualize their decision-making process through a decision tree.
A critical examination of how systemic inequities influence environmental health outcomes, focusing on Flint's water and urban air quality. Students analyze data and develop advocacy products to promote environmental justice.
A hands-on project where students explore waste management through the lens of Shoji Yamasaki's art, culminating in a creative video showcasing their own upcycling process or performance.
An extra credit project challenging students to live plastic-free for two weeks while researching the impacts of bioaccumulation and exploring sustainable alternatives. Students document their journey and findings in a formal scientific lab report.
The final project compilation phase where students curate their best work from the term into a professional digital portfolio. Students learn the art of curation and how to publish a simple one-page website as a 'Digital Resume'.
A lesson focused on post-pitch reflection and strategic iteration. Students conduct a SWOT analysis of their own performance and draft a 'Pivot' plan to refine their business concept based on audience feedback.
The unit capstone experience where students present their marketing campaigns as founders. Includes a two-day formal pitch event with peer judging, Shark Tank-style Q&A, and 'Class Cash' investment reflections.
A lesson focused on public speaking and professional presentation etiquette. Students learn non-verbal communication techniques, projection, and how to use digital slides as a backdrop rather than a teleprompter.
A lesson focused on data visualization and presentation flow. Students learn to simplify complex spreadsheets into high-impact slides, animate charts for storytelling, and finalize their full pitch deck.
A lesson focused on visual consistency and branding in pitch decks. Students learn to use master slides, image masking, and brand-aligned assets to create the first half of their digital marketing pitch.
A lesson focused on business storytelling and pitch deck structure. Students learn to frame their marketing campaign as a problem-solving narrative using the 10-Slide Rule and 'invisible' design principles.
A lesson focused on designing large-format print advertisements. Students learn the differences between RGB and CMYK color modes, resolution requirements, and how to design for 'glanceability' using the Drive-By Test.
A lesson focused on creating high-impact vertical social media advertisements. Students learn the 'Thumb-Stop' rule, the 60/20/20 anatomy of mobile ads, and design safe-zone techniques in Canva.
A lesson focused on the core marketing message: the Value Proposition. Students learn the formula for persuasive messaging and how to design high-impact 'Hero Text' for digital landing pages.
Students learn to craft compelling marketing messages by developing a Value Proposition using a specific formula and applying visual text hierarchy principles to design website 'Hero Text'.
Students finalize their Unit 3 Portfolio, checking for technical errors and exporting their report as a professional PDF for final submission.
Students synthesize their Unit 3 research by creating a professional Market Analysis Report, integrating personas and charts from previous lessons.
Students learn the fundamentals of financial forecasting, calculating revenue vs. profit, and using absolute cell referencing ($) to project business growth over time.
Students learn to transform raw spreadsheet data into impactful Pie and Bar charts to visualize market trends and customer intent.
Students learn to use sorting, filtering, and conditional formatting in Google Sheets to identify target audience trends and organize large datasets efficiently.
Students transition from data entry to data analysis by learning essential Google Sheets formulas like =SUM, =AVERAGE, and =COUNT, as well as the efficiency of the Fill Handle.
Students gain 'x-ray vision' over large datasets by learning to sort and filter information. They explore conditional formatting to visualize trends and identify specific target segments within their market research data.