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Course Study Guide · Part 2 · AI Fluency for your field

Teaching AI Fluency

Knowing the 4Ds yourself is one thing. Teaching them — and grading them — is another skill entirely.

— the course's premise

For instructors who will teach AI Fluency in instructor-led settings. This course reframes the 4Ds as two loops, tackles the hard problem of assessing the 4Ds and designing assignments, and shows how your discipline shapes what AI fluency means for your students.

two loopsassessmentby discipline14 quiz questions
01Two loops

Teaching the 4Ds as two loops

To teach the framework, this course groups the four competencies into two paired loops — a memorable structure for learners and a scaffold for lessons.

Key concept · The Delegation–Diligence loop and the Description–Discernment loop

The Delegation–Diligence loop is the outer, strategic loop: deciding what to hand to AI and staying responsible for the result — the bookends of any AI task. The Description–Discernment loop is the inner, moment-to-moment loop: describe what you want, evaluate what comes back, refine. Teaching the D's in these pairs shows students how the competencies actually operate together, rather than as four isolated words.

02Assessment

How do we assess the 4Ds?

The course's hardest and most useful section: you can't grade AI fluency by grading the AI's output alone. You assess the student's competency.

Key concept · Assess the competency, not the artifact

Make the thinking visible. Assess Delegation by asking students to justify what they handed to AI and why; Description by reviewing their prompts and how they iterated; Discernment by having them critique, correct, or fact-check AI output; Diligence by requiring disclosure and reflection on ethics and accountability. Designing assignments for AI Fluency then means building tasks that surface these — process logs, prompt-and-critique exercises, annotated drafts — so the grade reflects judgment, not just a polished final product.

03Your discipline

AI's impact on your discipline — and your expertise

AI fluency isn't generic; it lands differently in history than in chemistry or studio art. Two lessons close the loop: AI's impact and your discipline, and applying your discipline expertise to AI Fluency.

Key concept · Discipline expertise is what makes Discernment possible

The capabilities and limitations of AI show up field-specifically — where it hallucinates, what "good" looks like, which tasks it changes. Your disciplinary expertise is precisely what lets you (and your students, with your guidance) exercise real Discernment: an expert historian spots a fabricated source a novice would accept. So teaching AI fluency well means grounding the 4Ds in your subject's standards, examples, and failure modes — not teaching them in the abstract.

★Test yourself

Chapter 7 quiz

Fourteen questions on the two loops, assessment, and discipline. Answer first, then expand Show answer.

Part A · Multiple choice

Q1

The Delegation–Diligence loop is best described as:

  • A The outer, strategic loop — deciding what to hand off and staying responsible
  • B The moment-to-moment prompting loop
  • C A grading rubric
  • D A prompt template
Show answer

A. The bookends of an AI task.

Q2

The Description–Discernment loop is:

  • A The inner loop — describe, evaluate, refine
  • B The strategic outer loop
  • C A certificate
  • D A model setting
Show answer

A.

Q3

Why can't you assess AI fluency by grading AI output alone?

  • A Fluency is the student's competency, not the artifact's polish
  • B AI output is always bad
  • C Output can't be read
  • D You can — output is enough
Show answer

A. Assess the judgment behind it.

Q4

How might you assess a student's Discernment?

  • A Have them critique, correct, or fact-check AI output
  • B Count their words
  • C Check only the final grade
  • D Ask them to submit faster
Show answer

A.

Q5

How might you assess Delegation?

  • A Ask students to justify what they handed to AI and why
  • B Grade spelling
  • C Time the submission
  • D Ignore it
Show answer

A.

Q6

Why ground AI fluency in a specific discipline?

  • A Capabilities, limitations, and "good" are field-specific; expertise enables real Discernment
  • B Disciplines don't matter
  • C To make it harder
  • D AI behaves identically everywhere
Show answer

A. An expert spots a fabricated source a novice accepts.

Q7

"Designing assignments for AI Fluency" means:

  • A Building tasks that surface the students' 4D judgment (process logs, prompt-and-critique)
  • B Banning AI
  • C Only multiple-choice tests
  • D Grading the AI
Show answer

A.

Part B · True or false

Q8

Grouping the 4Ds into two loops helps show they operate together.

Show answer

True. Rather than as four isolated words.

Q9

Diligence can be assessed through disclosure and reflection on ethics/accountability.

Show answer

True.

Q10

Description can be assessed by reviewing students' prompts and iterations.

Show answer

True.

Q11

AI fluency is generic and identical across all subjects.

Show answer

False. It lands field-specifically; discipline standards matter.

Q12

A polished final product alone proves a student's AI fluency.

Show answer

False. Make the judgment and process visible.

Part C · Short answer

Q13

Name the two loops and which is inner vs. outer.

Show answer

Description–Discernment (inner, moment-to-moment) and Delegation–Diligence (outer, strategic).

Q14

Give one way to assess each of the four D's.

Show answer

Delegation — justify the hand-off; Description — review prompts/iterations; Discernment — critique/correct AI output; Diligence — disclosure & ethics reflection.