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The collection/AN OPEN STUDY ROUTE

WEEK 14 / 24 · Learn, then operate

Test your understanding

Test real understanding: recall, transfer and a lighter knowledge base

10 core hours + 2 optionalREAD · BUILD · PRACTISE
Begin the lesson ↓
Test your understandingTHE PERSONAL FDE FIELD LIBRARY

The question: Away from the original example and model answer, can you apply the method to a new problem?

Before you begin: Complete an action card and try it in a real low-risk task.

FIG. 14.1THIS WEEK’S REASONING PATH
  1. 01Unaided recall
  2. 02Find the gap
  3. 03Transfer the idea
  4. 04Retest later
Teaching diagram · Derived from this week’s lab; a suggested process, not observed results.

Concepts and learning objectives

Understanding an explanation is not the same as independent ability. Practise closed-book explanation, repair and transfer to a new setting. Identify inputs, boundaries, failures and verification again. AI may ask questions and provide feedback after you answer, rather than reveal the solution first.

Day-seven and day-21 retests are suggested course rhythms, not universal optimal memory intervals. Review earlier learning now and schedule later checks for current material. A knowledge base also needs subtraction: remove duplicate, unsourced and obsolete cards without historical value.

Reading and selected sections

Priority Source and selected sections Budget
Required review R45 · Anthropic — How AI assistance impacts the formation of coding skills — Separate task completion from independent understanding; avoid broad claims from one study. 30 min
As needed R27 · MDN — JavaScript Guide — Return to functions, async code or error handling where weaknesses appear. 45 min
Foundation R16 · Harvard CS50x 2026 — Only the algorithm or data-structure concepts you cannot yet explain. 45 min

Studio lab

  1. Answer three earlier questions without a generator: explain a concept, find a counterexample and describe an application. Preserve first answers separately from later research.
  2. Transfer one principle: calendar deduplication to document import, or API error states to file handling. Explain differences as well as similarities.
  3. Make a small change independently, then let the model review and question it. If the model replaces your entire answer, shrink the exercise.
  4. Review cards for actual use, evidence and actionable next steps. Merge duplicates, mark version scope and delete unused generated summaries.
  5. Schedule a few important retests. Count maintenance of the learning system itself in your weekly review.

Deliverables and acceptance

Deliverable Evidence of completion
Independent retest First answers and corrections are distinct.
Transfer application The principle works in a new scenario and changed boundaries are explained.
Knowledge-base cleanup Clear reasons for deletion or consolidation; collection size is not the metric.

Independent exercise: Repair a small unseen problem without a generator. Official documentation is allowed; explain why the fix works.

Privacy and safety: Use no other person's private information in exercises. Follow the originating course's academic-integrity rules, including R15. Keep your own AI-assisted projects separate from restricted coursework.

Everyday use: Notice whether you repeat fewer searches, avoid rework or recognise a risk sooner. Needing more foundation practice is a legitimate result.

Pass or revisit: Demonstrate one independent transfer before increasing deployment complexity. Delay week 15 if the existing tool is still unexplained.

A reusable collaboration prompt

Be a questioner, not an answer generator. Give new scenarios for three concepts and wait for my answers before feedback. Help consolidate useless notes and schedule a few retests without building a large learning-management system.

Sources and verification scope

Reference IDs and scope follow the supplied manuscript, baseline 2026-09-27. External authenticated labs were not all completed; recheck versions and access before implementation.

  1. R15
    CS50P — Academic Honesty ↗

    Formal assignments follow the current policy; personal projects are separate.

  2. R16
    Harvard CS50x 2026 ↗

    Select algorithms, memory and data structures according to gaps.

  3. R27
    MDN — JavaScript Guide ↗

    Syntax, control flow, collections, functions, async and modules.

  4. R45
    Anthropic — How AI assistance impacts the formation of coding skills ↗

    Controlled study with bounded sample and tasks; not a claim about all AI-assisted learning.