Lesson 24: Computing Innovations & the Reading-Passage Playbook

Warm-Up

Here's the entire secret of the passage set: it's an open-book test where the book is 300 words long.

Five questions, every answer either stated in or directly inferable from the passage, plus your Big Idea 5 (and sometimes Data/CSN) vocabulary. Nothing else on the exam hands you the source material. Students still miss passage points — for exactly two reasons: they answer from general knowledge instead of the passage ("that's how apps usually work"), or they run out of clock because they saved the passage for last and panicked.

Fix both today. The frame below turns any innovation description into pre-answered questions; the discipline keeps you inside the passage's four walls.

Core Concept

The five-question frame

Every computing innovation — real, fictional, or exam-invented — yields to the same dissection:

1. PURPOSE — what problem does it solve, for whom? (Lesson 1's purpose/function split: purpose is the why)
2. DATA — what data does it collect/use, and where does the data come from? (sensors? users? third parties? — Lesson 5)
3. BENEFIT — who gains what? (intended effects first, then spillover benefits — Lesson 20)
4. HARM — who could be hurt, excluded, or disadvantaged? (unintended consequences, bias, the divide — Lessons 20–21)
5. PRIVACY — what PII is involved; what could aggregation, breach, or repurposing expose? (Lessons 6 + 23)

Practice until the frame runs automatically: read any product announcement and produce the five answers in two minutes. The exam's passage questions are these five questions in light disguise, plus occasionally a mechanism question (how does the described system work — often touching Lessons 3–4, 17–19: where's the data stored, why compress, why distribute).

The five standard question types (and their traps)

The passage-first discipline

Three rules, in priority order:

1. The passage is the authority. If the passage says the app "stores data on the user's device," an answer choice assuming cloud storage is wrong even though real apps use clouds. The exam deliberately writes innovations that differ from real-world defaults to catch outside-knowledge answering.
2. "Most likely / best" means best-supported, not most interesting. Rank candidate answers by how directly the passage's own sentences back them.
3. Your concept vocabulary fills the gaps. The passage supplies facts; Lessons 1–23 supply the analysis (that aggregated location data identifies people; that crowdsourced reports carry participation bias). Passage facts + CED concepts = credited inference. Passage facts + your assumptions ≠.

Timing the set

Five questions, one passage: budget 8–9 minutes total (the ~100 sec/question average). Read the passage ONCE, actively — annotate the five frame answers in the margin as you meet them (P for purpose, D beside data sources, − beside stated drawbacks). Then the questions mostly answer themselves from your margin notes; re-reading happens per-question, targeted, not wholesale.

Practice Passage 1 (full exam format — work it before reading the key)

SafeCrossing is a system some cities are installing at intersections near schools. Pole-mounted cameras detect pedestrians waiting to cross and estimate their walking speed. The system adjusts the crossing signal's duration accordingly — for example, giving a slower walker more time before cross-traffic resumes. Video is processed on a computer inside the pole unit; the system stores only anonymous counts (pedestrians per hour, average crossing times) which it transmits nightly to the city's transportation department, where planners use several years of counts from many intersections to prioritize sidewalk and signal improvements. The vendor notes the detection model was trained primarily on video from mid-sized cities in one country. Community members have raised concerns about the cameras; the city responds that no video ever leaves the pole unit.

Working the passage (read after attempting)

Margin notes a trained reader makes: P: safer crossings via adaptive timing. D: camera video (local only!) → anonymous counts → city, nightly. −: training data from one country/city-size; camera discomfort. Design choice: on-pole processing = privacy answer waiting to happen.

Q1: (B). Purpose = the safety goal. (A)/(D) contradict "only anonymous counts"; the passage never mentions enforcement or identification. Passage-first discipline: real cities do use cameras for enforcement — this system, per its passage, doesn't.

Q2: (C). Stated almost verbatim. (A)/(D) contradict "no video ever leaves the pole unit" — the passage's most load-bearing sentence, and at least two questions lean on it.

Q3: (A). The vendor's own disclosure + Lesson 21's testing/training entry point = supported inference. (B) invents facts; (C) is an absolute; (D) is a security concern, not a bias concern — read which concept the question names.

Q4: (B). Local processing + aggregates-only = the privacy-by-design answer; it's why the city gives that response to concerned residents. (D) tempts — but on-pole processing does nothing about training data.

Q5: (B). Years of counts, many intersections, decisions from patterns — Lesson 5's extracting-information claim in city-planner clothing. The other choices are vocabulary from unrelated lessons (a standard passage-set move: one question's distractors are cross-unit vocabulary noise).

Common Mistakes

1. Answering from the real world instead of the passage. The invented innovation differs from real products on purpose. The passage is the spec; your job is reading comprehension plus CED analysis, not product knowledge.
2. Picking harms unrelated to the described data. A credited harm/privacy answer traces to data the passage says exists. SafeCrossing stores no identities — identity-theft answers are unsupportable.
3. Concept-name confusion under time pressure. Bias ≠ security ≠ privacy ≠ divide. The question names its lens ("bias concern," "privacy risk") — answer through that lens only.
4. Reading the passage three times. Once, actively, with margin frame-notes. Targeted re-reads per question. Whole-passage re-reads are where the 9-minute budget dies.
5. Forgetting the passage set is friendly. Five findable answers. If a passage question feels like it needs outside expertise, you've drifted — return to the text; the support is in there.

Practice Passage 2 (drill — attempt solo, budget 9 minutes)

HarvestLink is a free app for small-scale farmers in remote regions. Farmers photograph a struggling crop; the app analyzes the image and suggests likely diseases and treatments. Because rural connectivity is unreliable, the app performs its analysis on the phone itself using a compact model, and works fully offline; when a connection is available, it uploads the photo, the diagnosis, the phone's GPS location, and the farmer's confirmation or correction of the diagnosis to the developer's servers, where the data improves future versions of the model. Regional agriculture agencies can view maps of confirmed disease outbreaks built from the uploaded reports. The developers acknowledge the model currently performs best on the twelve crops most common in the regions where it was first deployed.

(Answers in the key below — attempt all five first.)

Create PT Connection

The five-question frame is also a PT design-review tool — point it at your own program before finalizing Written Response 1:

• Purpose: can you state it in one sentence, for a named user?
• Data: what does your program collect, and did you minimize it (Lesson 23)?
• Benefit/harm: the dual-effect sentence (Lesson 20) — even for a small app.
• Privacy: anything user-entered worth a design comment?

A PT write-up that survives its own five-question audit reads like the work of someone who understands computing's place in the world — which is, precisely, the exam's definition of merit in Big Idea 5.