School PT
AI Digital Textbook
AI Digital Textbook
at a glance
Software equipped with various learning materials and support features, utilizing information technology, including artificial intelligence, to provide personalized learning opportunities tailored to the abilities and levels of individual learners.
- Learning Diagnosis and Analysis through AI (Learning Analytics)
- Tailored Learning Reflecting Individual Learning Levels and Speed (Adaptive Learning)
- Learning Courseware Designed from the Student’s Perspective (Human-Centered Design)
Source: AI Digital Textbook Development Guidelines (Ministry of Education, Republic of Korea, 23.8.29.)
What is an AI Digital Textbook?
An AI Digital Textbook (AIDT) is software designed to support diverse, personalized learning opportunities tailored to individual abilities and levels. AIDT utilizes artificial intelligence and advanced information technologies to provide various learning materials and support functions.
- Learning Diagnostics and Analysis Powered by AI (Learning Analytics)
- Personalized Learning Reflecting Individual Levels and Pace (Adaptive Learning)
(Adaptive Learning) - Learning Courseware Designed from a Student-Centered Perspective (Human-Centered Design)
Source: AI Digital Textbook Development Guidelines (Ministry of Education, August 2023)
Implementation Schedule
After the evaluation process in August 2024, AI Digital Textbooks are planned to be introduced starting in March 2025, focusing on subjects such as Mathematics, English, and Information (G3, G4, G7, G10)
2025
March
AI Digital Textbook introduced to Korean schools
2024
November
AI Digital Textbook evaluation results announced
August
AI Digital Textbook evaluation applications due
2023
August
AI Digital Textbook development guidelines and evaluation released
June
Ministry of Education announced plans and timeline to implement AI Digital Textbook
February
AI-powered Digital Textbook project announced
2022
December
Establishment of the AI Digital Education Department in Ministry of Education
Phased Implementation of AI Digital Textbooks
Commencement of Implementation
Completion of Implementation
2025
Starting in March
- (Math, English, Information) G3-4
- (Math, English) G7
- (Information) Middle School
- (Integrated Math/English, Information) G10
- (Special Education Korean ③,④) Elementary School
2026
- (Math, English, Information) G5-6
- (Math, English) G8
- (Special Education Korean ⑤,⑥) Elementary School
- (Special Education Math ③,④) Elementary School
2027
- (Social Studies, Science) G3-4
- (Math, English) G9
- (Social Studies/History ①,②) Middle School
- (Science) G7-8
- (Special Education Math ⑤,⑥) Elementary School
- (Special Education Korean, Math) Middle School
2028
Full implementation across Grades 3–10
- (Social Studies, Science) G5–6
- (Science) G9
- (Special Education Korean, Math) High School
Phased introduction starting with Math, English, and Information in 2025, expanding to key subjects by 2028.*
Excluded subjects: Grades 1–2 and 11-12, Korean, Practical Arts, elective subjects in high school, arts and physical education (music/art/physical education), and moral education. Special Note: Numbers in circles indicate subjects introduced regardless of designated grades or semesters. Source: Ministry of Education
Top 10 Core Services
- Learning Diagnosis and Analysis
- Personalized Learning Paths and Content Recommendations for Each Student
- Customized Learning Support (AI Tutor)
- Lesson Design and Tailored Prescription Support (AI Assistant Teacher)
- Content Restructuring and Addition
- Data-Based Learning Management, Including Student Learning History
- Provision of Student Learning Data Analysis through Dashboards
- Support for Communication among Educational Stakeholders (Teachers, Students, Parents)
- Unified Login
- Easy and Convenient UI/UX Configuration with Ensured Accessibility (Universal Learning Design: Multilingual Support, etc.)
- (Data) Collecting and analyzing not only individual student characteristics and academic achievement data but also metacognitive data* that encompasses learning behaviors, as well as academic interest data.
- (Information Provision) Utilizing the analyzed results of student data, providing them on dashboards tailored to the roles of the stakeholders, thus promoting communication based on objective information among educational participants.
