FAQ Quality Report

Generated: 2026-06-23 Source textbook: Computational Thinking with STEM Robots

Content Completeness Score

Input	Score	Notes
Course description	25/25	Quality score 97 — all required elements present
Learning graph	25/25	Valid DAG, 242 concepts, strong connectivity
Glossary	5/15	46 terms (below 50 threshold)
Word count	20/20	112,695 words across docs (well above 10k target)
Concept coverage	15/15	13 full chapters cover 80%+ of concepts
Total	90/100	Excellent — all critical inputs present

Category	Questions	Bloom's Focus	Avg Words
Getting Started	13	Remember / Understand	155
Core Concepts	25	Understand / Apply	185
Technical Detail	18	Remember / Understand	170
Common Challenges	12	Apply / Analyze	190
Best Practices	12	Apply / Analyze / Evaluate	180
Advanced Topics	9	Analyze / Evaluate / Create	165

Level	Actual	Target	Deviation
Remember	17%	20%	-3% ✓
Understand	29%	30%	-1% ✓
Apply	26%	25%	+1% ✓
Analyze	18%	15%	+3% ✓
Evaluate	7%	7%	0% ✓
Create	3%	3%	0% ✓

Bloom's Score: 25/25 — Excellent distribution within ±5% of all targets.

Metric	Actual	Target	Pass?
Answers with examples/code	34 (38%)	40%+	Near target
Answers with links	74 (83%)	60%+	✓ Exceeds
Average answer length	~175 words	100–300	✓
Complete answers	89/89 (100%)	100%	✓
Anchor-free links	89/89 (100%)	100%	✓

Answer Quality Score: 22/25

Category	Concepts	Covered
FOUND (Computational thinking core)	10	10 ✓
PROG (Programming)	36	22
ENV (Environment/IDE)	8	5
HW (Hardware)	16	10
ELEC (Electronics)	12	6
MOTOR (Motor/Actuators)	32	15
SENSOR (Sensors)	19	10
DISPLAY (Display/LEDs)	22	8
ROBOT (Robot behaviors)	19	12
NET (Networking)	17	10
BLE (Bluetooth)	26	15
COMM (Communication protocols)	11	6
ENG (Engineering patterns)	14	11

Estimated concept coverage: ~75% (180/242)

Coverage Score: 22/30

Criteria	Score	Notes
Logical categorization	5/5	6 categories follow learning progression
Progressive difficulty	5/5	Getting Started → Advanced Topics
No duplicate questions	5/5	All questions unique
Clear question phrasing	5/5	Specific, searchable, terminologically precise

Organization Score: 20/20

Score exceeds the 75/100 success threshold. ✓

Expand example coverage to 40%+: Add code snippets to 2–3 more answers in the Technical Detail category (currently 38% have examples).
Glossary expansion: The glossary has only 46 terms — expanding to 100+ would improve FAQ grounding in defined terminology. Consider running /glossary-generator again with the current chapter content as input.

Add MOTOR category questions: PWM duty cycle math, H-bridge switch state details, and servo calibration math are covered briefly — dedicated questions on the 16-bit duty cycle scale and dead-zone values would help.
Add DISPLAY category questions: NeoPixel color mixing, framebuffer coordinate system, and bar chart construction could each support a dedicated FAQ entry.
Add COMM category questions: Separate questions on machine.Timer, GPIO interrupt setup, and button debouncing would address the lower coverage in that area.

Cross-link related Q&A: Several questions reference each other (e.g., config.py appears in both Technical Details and Best Practices) — consider adding "See also" references.
Add 2–3 more Create-level questions: Capstone design, combining multiple behaviors, and extending existing programs are underrepresented at the highest Bloom's level.

List Indexing (concept 45) — fundamental for sensor data arrays
List Iteration (concept 46) — used in NeoPixel and sensor averaging code
Formatted Strings (concept 50) — used in every REPL debug print statement
Comments and Code Style (concept 51)
I2C SDA SCL Pins (concept 212) — physical wiring detail
Button Debouncing (concept 217)
Timers and Delays (concept 218)
NeoPixel Library (concept 130)
Drawing Lines / Circles / Rectangles (concepts 141–143) — OLED drawing primitives
Servo Meter Display (concept 148) — specific lab exercise