How to use this book

Caution

Not legal advice. This book is a learning textbook for preparing for the AIDAN Specialty course. It merely summarizes and explains laws and official guidelines to aid understanding; it is not a legal opinion on any specific school, service, or individual student matter. A school's legal status, basis for processing, and disciplinary procedures will vary in outcome depending on factual circumstances and school regulations. Before making an actual decision, check the original text of statutes currently in force and the regulations of your competent office of education and school.

Verification date: October 22, 2026. The statutory content in this book was compiled after reading the original text of articles on the National Law Information Center. The versions displayed on each article screen on the verification date were as follows:

  • Framework Act on the Development of Artificial Intelligence and Creation of Reliability (abbreviated as AI Basic Act) [Enforced July 21, 2026] [Act No. 21311, Jan. 20, 2026, Partial Amendment]
  • Enforcement Decree of the same Act [Enforced August 20, 2026] [Presidential Decree No. 36580, Aug. 18, 2026, Amendment by Other Act]
  • Personal Information Protection Act (PIPA) [Enforced September 11, 2026] [Act No. 21445, Mar. 10, 2026, Partial Amendment] and Enforcement Decree of the same Act [Enforced September 11, 2026] [Presidential Decree No. 36671, Sep. 10, 2026, Partial Amendment]
  • Copyright Act [Enforced August 11, 2026] [Act No. 21336, Feb. 10, 2026, Partial Amendment]
  • Elementary and Secondary Education Act [Enforced September 11, 2026] [Act No. 21424, Mar. 10, 2026, Partial Amendment], Framework Act on Education [Enforced May 6, 2026] [Act No. 21608, May 6, 2026, Partial Amendment]

Materials from UNESCO, NIST, OpenAI, Anthropic, and OWASP were also verified on the official pages of each organization on the same date. Content that could not be verified in public documents as of the verification date—such as detailed standards delegated by the AI Basic Act to ministerial notices—was not included.

Who this book is for

This book is for those who use AI in classrooms and lecture halls. The primary readers are elementary, middle, and high school teachers who create instructional materials with AI; teachers and university faculty who use AI-assisted tools for grading constructed-response answers or providing feedback; personnel who establish AI usage policies for schools, private academies, and corporate education; and educational institution administrators reviewing edtech adoption.

The judgments these readers commonly make are narrower and more concrete than one might think: "Can I distribute this worksheet as is?", "Can I enter this score into grade records?", "Can I feed this student's writing into that tool?", "Can this report be regarded as cheating?", and "Can I make this service available to all students across the school?". Over five chapters, this book teaches how to answer these five questions.

An understanding at the level of AIDAN's introductory course, White Belt (AI Fundamentals)—that is, a sense that generative AI generates sentences probabilistically and can be plausibly wrong—along with educational field experience is sufficient. Statutory provisions have their terms explained each time they first appear so that even first-time readers can follow along.

Upon completing this book, you should be able to directly create an AI instructional material review checklist, an assignment-by-assignment AI allowance level guide, an AI grading operational procedure manual, a student data processing checklist, and an institutional adoption and inspection plan. Two hands-on tasks in each chapter lead you to produce these deliverables directly.

General curriculum development, edtech product development, and legal advice on individual disciplinary cases are outside the scope of this course.

How this book is organized

The main body consists of five chapters in the same order as the exam domains. Chapter 1 deals with creating instructional materials, Chapter 2 with evaluating students, Chapter 3 with handling student information, Chapter 4 with establishing rules for students' AI use, and Chapter 5 with adopting and operating AI across an institution. Principles learned in preceding chapters are woven to be reused in subsequent chapters. For example, the principle in Chapter 1 that "facts given by AI are clues, not sources" reappears in the citation rules of Chapter 4 and tutor operations of Chapter 5.

Each chapter consists of ten sections: Learning objectives, Introduction, Key concepts, Going deeper (trade-offs and edge cases), At work (fictional cases that even show discarded options), Common mistakes, Summary at a glance, Check the official docs, Self-check (explanations in Appendix B), and Hands-on tasks.

The appendices contain a glossary (A), Self-check explanations (B), an exam-day guide (C), and a list of official documents cited in this book (D). We recommend reading through in chapter order initially, and when reviewing, starting with the "Summary at a glance" and "Common mistakes" sections of each chapter.

The exam at a glance

Teaching with AI (AED) is a Specialty course. The Specialty exam consists of 35 questions to be completed in 60 minutes, and a raw score of 75 points or higher is a pass. The free practice set consists of 10 questions for 25 minutes.

Chapter Domain Weight
Chapter 1 Instructional Design and Course Materials 20%
Chapter 2 Grading, Feedback, and Student Assessment (High-Impact Areas) 25%
Chapter 3 Student Data and Child Protection 20%
Chapter 4 Academic Integrity and AI Usage Policies 20%
Chapter 5 Institutional Adoption and Operations 15%

Statutory questions are based on statutes in force at the time of the exam. The schools, private academies, and companies appearing in the questions are all fictional names, and for questions where terms of service determine the conclusion, the relevant terms are provided within the question.

What the questions look like

Questions appear in five formats. Most first present a fictional school or institutional situation, then ask for the most appropriate judgment or measure in that situation.

Format Appearance Scoring Solving strategy
Single choice One correct answer out of 5 options Exact match Mark conditions of the scenario (target student age, whether counted toward grades, whether under school contract, announced criteria) first, then read the options
Multiple choice 2–3 options out of 5–6 options Correct only when all correct answers and no incorrect answers are selected Judge true/false independently for each option
Statement judgment Yes/No for each statement Yes only when both the judgment and the reason are correct Even if the conclusion is correct, it is No if the reason is wrong
Sequence ordering 4–5 steps in sequence Entire sequence matches Order them by asking: "Does the output of the preceding step become the input for the next step?"
Matching Connect left items with right options All pairs match Eliminate the most certain pairs first, and remember that there is one unused option

There is one unique feature to the single-choice questions in this course: The same five options reappear in different situations, and the correct answer differs by situation. "The teacher finalizes all scores" is the correct answer for a performance assessment reflected in grades, but it is an excessive choice for unrecorded end-of-class practice problems. "Obtaining guardian permission" is the correct answer when terms of service require permission for those under 18 years of age, but it cannot be the answer when terms entirely bar use by children under 13. Therefore, tricks such as choosing "the safest-looking option" or "the most generic model answer" do not work. Every single condition in the situation changes the correct answer.

Incorrect options are usually created in four ways. First, mistaking consensus for truth ("The answers from three AI systems match, so it is correct"). Second, judging an individual by the average ("The class average is the same, so the grading is correct"). Third, importing the correct answer from a different situation (applying university remuneration rules to a middle school). Fourth, responding more heavily or lightly than necessary (suspending use across an entire grade level over a single typo; merely waiting for a vendor report upon personal information exposure). The "Common mistakes" section in each chapter organizes these types chapter by chapter.

Six-week study plan

This plan is designed based on 40–60 minutes per day, 5 days per week. If you have extensive field experience, you may combine Weeks 1 and 2. At the end of each week, there must be a tangible deliverable left in your hands.

Week Scope Tasks Deliverables
Week 1 Chapter 1 Select one AI material created last semester and review it again using this book's review checklist AI instructional material review checklist
Week 2 First half of Chapter 2 Read Articles 2, 31, 33, and 34 of the AI Basic Act in their original text Table of AI utilization levels by assessment purpose
Week 3 Second half of Chapter 2, first half of Chapter 3 Conduct a small grading consistency check, and read Articles 3, 15, and 22-2 of the Personal Information Protection Act (PIPA) AI grading operational procedure manual, student information classification table
Week 4 Second half of Chapter 3, Chapter 4 Directly locate and read the terms of service and data conditions of one AI service currently in use Service data conditions checklist, assignment-by-assignment allowance level guide
Week 5 Chapter 4 hands-on practice, Chapter 5 Browse the UNESCO guidance and NIST AI RMF Core Institutional adoption plan and inspection schedule table
Week 6 Comprehensive review Solve the Self-checks again and take the practice set Review notes, Appendix C checklist

Key point

Read statutory provisions at least once in their original text, not in summaries. The distinction between "shall" (obligation), "shall endeavor to" (obligation to endeavor), and "may" (discretion) separates correct options from incorrect ones in this exam. For example, in the AI Basic Act, prior review of whether a system falls under high impact is an obligation, but requesting confirmation from the Minister is "may".

Notation and sources

Statutory citation. Statutory articles are written in forms such as "Article 31, Paragraph 2," and presidential enforcement decrees as "Enforcement Decree Article 23, Paragraph 2." When citing multiple laws within the same chapter, the name of the law is attached. The articles in Chapter 2 are primarily from the AI Basic Act, and those in Chapter 3 are primarily from the Personal Information Protection Act (PIPA).

Verb strength. Verbs in statutory sentences indicate the strength of the obligation.

Statutory wording Meaning Example in this book
shall / shall not Obligation / Prohibition Prior notice under Article 31, Paragraph 1 of the AI Basic Act; specification of sources under Article 37 of the Copyright Act
shall endeavor to Obligation to endeavor Impact assessment under Article 35, Paragraph 1 of the AI Basic Act
may Discretion or permission Request for confirmation under Article 33, Paragraph 1 of the AI Basic Act; reproduction for educational purposes under Article 25, Paragraph 3 of the Copyright Act
may choose not to apply Exception is permitted Article 23, Paragraph 4 of the Enforcement Decree of the AI Basic Act

Legal status of schools. The AI Basic Act is a law that establishes the obligations of AI business entities. If an edtech company provides products or services using AI provided by another development business, it falls under the category of an AI user business; however, whether and under what circumstances a school or office of education becomes a business entity depends on factual circumstances. When explaining school decisions, this book does not assert that "the law imposes such obligations on schools," but rather applies the principles demanded by the law (human management and supervision, explanation, transparency) as operational standards for schools.

AI services. Names and features of specific services are written only when verified through official documentation, and prices and pricing tiers are not covered. Most services appearing in the questions and practical scenarios are fictional services with predefined terms of service.

Fictional organizations. The schools, private academies, companies, and institutions in the text are all fictional names.

Callout boxes. NOTE provides supplementary context, TIP highlights key points to remember, WARNING indicates areas prone to mishaps, and EXAMPLE presents tasks to try firsthand.