AI Literacy Self-Assessment

Where Are You Now? Where Will You Be?

Take This Twice

Complete this assessment BEFORE starting Module 1 and AGAIN after finishing Module 14. Your growth will surprise you.

Instructions

For each statement, rate yourself honestly from 1 (strongly disagree) to 5 (strongly agree). There are no right or wrong answers — this measures your current comfort and capability, not your worth.

Part A: Understanding AI (Modules 1-3)

# Statement Score (1-5)
1 I can explain what artificial intelligence is to a friend in plain language.
2 I understand the difference between AI, machine learning, and deep learning.
3 I know what a large language model (LLM) is and roughly how it works.
4 I can explain why AI “hallucinates” (generates false information).
5 I understand what training data is and why it matters for AI bias.

Part A Total: ___ / 25

Part B: Communicating with AI (Module 4)

# Statement Score (1-5)
6 I can diagnose which element is missing from a weak prompt (recognition skill).
7 I can produce each BRIEFS element in isolation, and combine them into a full prompt.
8 I know the difference between BRIEFS (first message) and SMARTS (multi-turn reasoning) and when to use each.
9 I know what “intent” means in the context of prompting and why it matters most.
10 I can select the right technique (zero-shot, few-shot, chain-of-thought, role-based, structured output) for a given task.
11 I can transfer a BRIEFS prompt across domains (e.g., from orchard management to payments engineering).
12 I can identify common anti-patterns (wall of context, Frankenstein, yes-man bait, leading question) in my own and others’ prompts.
13 I can critique a peer’s prompt using a rubric — not just say “it’s good” or “it’s bad.”
14 I can recognize when BRIEFS is the wrong tool (creative exploration, single-fact lookup, emotional processing).
15 I use AI as a thinking partner for complex problems, not just a search engine.

Part B Total: ___ / 50

(Note: Part B is weighted 2× vs other parts because M4 is the keystone module. The 10-item expansion reflects the 10-exercise practice ladder.)

Part C: Applying AI (Modules 5-8)

# Statement Score (1-5)
16 I can use AI to research a topic and verify the results.
17 I can identify when an AI citation is real vs fabricated.
18 I have used AI to save meaningful time on a real work or school task.
19 I understand what multimodal AI means and can use image/audio tools.
20 I could build or configure a simple custom AI assistant (like a GPT).

Part C Total: ___ / 25

Part D: Going Deeper (Modules 9-11)

# Statement Score (1-5)
21 I understand what RAG is and why it matters for accuracy.
22 I can explain the difference between a cloud API and a local model.
23 I can identify at least 3 types of AI bias and explain why they happen.
24 I know what questions to ask before deploying AI in a high-stakes context.
25 I can evaluate whether AI is appropriate for a specific task in my field.

Part D Total: ___ / 25

Part E: Future-Proofing (Modules 12-14)

# Statement Score (1-5)
26 I can articulate my AI skills on a resume or in a job interview.
27 I have a plan for continuing to learn about AI after this course.
28 I can evaluate AI hype vs substance using a structured framework.
29 I feel confident having conversations about AI policy and ethics.
30 I could teach someone else the basics of effective AI use.

Part E Total: ___ / 25

Scoring

Add your five part totals:

Part Topic Score
A Understanding AI ___ / 25
B Communicating with AI ___ / 50
C Applying AI ___ / 25
D Going Deeper ___ / 25
E Future-Proofing ___ / 25
Total ___ / 150

Interpretation

Score Range Level What It Means
120-150 AI Fluent You’re ready to lead AI adoption in your workplace or classroom. Focus on the advanced modules and capstone.
90-119 AI Competent You have solid foundations. The middle modules (5-11) will fill your gaps.
60-89 AI Aware You know AI exists but haven’t built practical skills yet. Start at Module 1 and work through sequentially. Pay special attention to M4’s practice ladder.
30-59 AI Curious You’re just getting started — and that’s great. This course was designed for you. Every module will feel like a level-up.

Where to Focus Based on Your Scores

If you scored low on… Focus on…
Part A (Q1-5): Understanding AI Modules 1-3 — build your technical foundation
Part B (Q6-15): Communicating with AI Module 4 — BRIEFS + SMARTS + the 10-exercise practice ladder (don’t skip rungs)
Part C (Q16-20): Applying AI Modules 5-8 — hands-on practice with real tasks
Part D (Q21-25): Going Deeper Modules 9-11 — infrastructure, ethics, your field
Part E (Q26-30): Future-Proofing Modules 12-14 — career, trends, capstone project

Growth Tracking

If you’re taking this twice:

Pre-Course Post-Course Change
Part A
Part B
Part C
Part D
Part E
Total

Reflection: Which part showed the most growth? Which still needs work? What’s your plan for continuing to develop?

What Changed Since You Started? (Post-Course Only)

If you’re retaking this assessment after completing the course, answer these four questions in writing:

  1. Before this course, how did you use AI? (Be specific — which tools, how often, for what tasks?)
  2. What’s the single most important thing you learned? (Not a fact — a skill, a mindset shift, or a habit.)
  3. What surprised you most? (Something you believed before the course that turned out to be wrong.)
  4. What will you do differently starting tomorrow? (One specific, concrete change to your workflow or habits.)

These reflections are often more valuable than the scores. Keep them. Revisit them in 6 months.

This assessment is for YOUR growth, not for grading. Be honest — especially the first time.

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