Exam generater — Study Path Agent

Chapter 1

Requirements & assessment design

1

Stakeholders & roles

2

Exam types & policies

3

Blueprinting & learning objectives

2 subtopics

4

Define a learning objectives map

5

Create blueprint templates (topics × difficulty × question type)

6

Non-functional requirements (performance, reliability, scale)

7

Evaluation & iteration

Chapter 2

Data modeling & storage

8

Core entities (questions, exams, attempts, users)

9

Database choice & indexing

10

Versioning & audit trail

11

Import/export standards

12

API design (REST/GraphQL, pagination, filtering)

Chapter 3

Question bank & authoring

13

Question formats & validation

2 subtopics

14

MCQ & multi-select rules (distractors, shuffling, validation)

15

Short answer/essay prompts (constraints, exemplars, rubrics)

16

Metadata/tagging taxonomy

17

Authoring workflow & review

18

Media & math content (images, audio, LaTeX)

19

Item statistics feedback loop

Chapter 4

Exam assembly algorithms

20

Coverage & constraint rules

2 subtopics

21

Choose a constraint satisfaction approach (greedy/backtracking/ILP)

22

Define pool/section selection rules (coverage, exclusions, quotas)

23

Randomization & reproducibility

2 subtopics

24

Seeding & deterministic builds (debuggable exam variants)

25

Preventing item overlap (reuse limits, exposure controls)

26

Difficulty balancing

27

Adaptive testing (optional)

28

Answer key generation

Chapter 5

Test delivery UX

29

Question rendering components

30

Timing, navigation & autosave

31

Accessibility & accommodations

2 subtopics

32

WCAG basics (keyboard access, contrast, focus order)

33

Accommodations (extra time, screen reader support, font/spacing)

34

Proctoring/identity options

35

Offline/low-bandwidth strategy

Chapter 6

Scoring & reporting

36

Scoring models

2 subtopics

37

Auto-scoring MCQ (single/multiple correct, partial rules)

38

Partial credit & negative marking policies

39

Manual grading & rubrics

40

Analytics dashboards

41

Psychometrics basics (reliability, validity)

42

Integrations & exports (LMS, CSV/PDF, APIs)

Chapter 7

Security, integrity & compliance

43

Authentication & authorization

44

Cheating prevention

45

Privacy & data protection

2 subtopics

46

Data retention & deletion (policies, purges, right-to-delete flows)

47

Encryption at rest/in transit (TLS, DB encryption, secrets handling)

48

Secure delivery & key management

49

Compliance & accessibility standards

2 subtopics

↗ WCAG basics (keyboard access, contrast, focus order) (see Chapter 5)

50

FERPA/GDPR overview (what data is protected and why)

51

Logging & incident response

1 subtopics

52

Monitoring & audit log review (alerts, anomaly triage basics)