Evidence Map · Teaching Studio · 2026–27

Digital Society readiness diagnostic

Trace a simple decision rule, examine source limits, compare stakeholder consequences and defend a conditional judgment.

Teacher guide
Local reasoning diagnostic. This synthetic classroom case is not a real deployment, an official IB paper or an IA assessment. Use the four local criteria for a starting profile, not an IB 1–7 prediction.

DS-A · Library entry

A fictional college is testing a card-based library entry system. The system reads a card ID, retrieves its stored similarity score from a classroom test file, and accepts entry when score ≥ threshold. The score is a made-up diagnostic value, not the probability that a person has a valid card. Staff can manually check rejected visitors.

The table’s known status was assigned by the test designer. This tiny balanced sample does not estimate real-world accuracy or represent a population.

Test IDKnown statusScore
A1Valid card0.91
A2Valid card0.78
A3Valid card0.64
A4Invalid card0.83
A5Invalid card0.67
A6Invalid card0.3

Source A · Developer note

Fictional internal pilot note, 10 September 2026: “The threshold can be changed. Higher thresholds reject more attempts. Our six-case test is a starting diagnostic and does not show performance for the whole campus.”

Author: development team. Purpose: explain the prototype. Evidence: the supplied small test. Interest: demonstrating a workable system.

Source B · Access committee note

Fictional meeting note, 11 September 2026: “Rejected legitimate users may wait for staff. The pilot should record queue time and manual-check outcomes before any wider rollout.”

Author: access committee. Purpose: examine access costs. Evidence: anticipated risks, with no measured queue data yet.

Your individual response

  1. Trace the input, processing, output and human decision at a threshold of 0.75. Identify which valid and invalid cards are accepted or rejected.
  2. Compare the consequences at thresholds 0.60 and 0.85. Explain one cost to a legitimate user and one concern for library staff.
  3. Use both sources. Identify one useful contribution and one limitation of each. Do not describe the synthetic notes as independent research findings.
  4. Recommend a provisional threshold or a pilot condition. Support the judgment, identify a trade-off, and name the evidence that would change your recommendation.

Answer in clear prose, an annotated diagram, or an agreed oral/recorded explanation that preserves the same reasoning demand.

Teacher follow-up

“Suppose the score of A3 changes from 0.64 to 0.76. What changes at threshold 0.75, and what does not change?”

DS-B · Equipment checkout

Use after targeted practice. A fictional equipment-loan desk uses the same kind of scored classroom rule to approve a checkout. A staff member can review rejected requests. Use the same question structure, timings and rubric, but use this table and threshold 0.70. Compare 0.55 and 0.80.

Test IDKnown statusScore
B1Eligible request0.88
B2Eligible request0.73
B3Eligible request0.59
B4Ineligible request0.78
B5Ineligible request0.62
B6Ineligible request0.25

Source A: a fictional checkout developer says the six-case sample demonstrates how the adjustable rule works, not population performance. Source B: a fictional student equipment committee asks the pilot to measure waiting time, missed access and manual-review outcomes. Each source has the same role and evidential limitation as in DS-A. Follow-up: change B3 to 0.71 and ask what changes at 0.70.

Scoring and timing

5 minutes to establish access; 10 to model an unrelated simple rule; 10 guided tracing; 25 individual response; 12 minutes of rolling teacher follow-ups; 8 minutes to record the next action. Finish the observation rotation in subsequent lessons. Prior subject knowledge and reading speed are context, not bonus points.

Criterion1234
MechanismThe input-to-decision explanation is missing or reverses the stated rule.Some steps are correct but a causal link requires a prompt.The input, rule, output and human decision point are explained accurately.A changed rule is traced accurately and the explanation identifies the model limit.
Source useA claim is repeated without identifying supporting source information.A source is identified but credibility or limitation is generic.A specific source feature supports the claim and a relevant limitation is identified.The sources’ different contributions and limitations are weighed, and a further evidence need is justified.
Stakeholder reasoningAn effect is named without connecting it to the digital decision.A simple consequence is partly connected to the mechanism.A mechanism feature is linked to different consequences for two stakeholders.A changed threshold is used to explain redistribution of benefit and error costs.
Qualified judgementA preference is asserted without evidence or a reason.A reason is present but little case evidence or qualification is used.The judgement uses case evidence and a condition that could change it.Competing priorities are weighed and a plausible alternative is tested under a changed condition.

Use the same missing-evidence, support and teacher-verification rules as the Photoshop diagnostic. The four local ratings total 4–16 when complete. They do not convert to an official IB grade.