AI数字教科书开发指南（英）-216页_36mb

报告摘要

Summary of "5 Million Textbooks for 5 Million Students" - AI Digital Textbook Development Guidelines

Core Content Overview

The AI Digital Textbook Development Guidelines outline the framework for creating and implementing AI-driven digital textbooks aimed at personalizing learning for 5 million students in Korea. These guidelines are part of a national initiative to transition to a learner-centered education system by leveraging AI and digital technologies.

Main Viewpoints and Key Information

1. Definition and Characteristics of AI Digital Textbooks

An AI Digital Textbook is software that integrates AI and intelligent information technology to offer personalized learning experiences tailored to individual students.
Key features include:
- AI-based learning analytics
- Adaptive learning that reflects individual learning levels and paces
- Human-centered design (student-focused courseware)

2. Key Services

Common Services (for students, teachers, and parents):
- Learning data analysis on a dashboard
- Facilitates communication among stakeholders
- Single Sign-on (SSO) system
- Accessible UI/UX with multilingual and UDL support
Student-Specific Services:
- Learning analytics
- Personalized learning pathway and content recommendations
- AI tutor for individualized support
Teacher-Specific Services:
- AI teaching assistant for lesson design and assessment tracking
- Content reorganization and customization
- Data-based learning management

Development Principles and Direction

1.3.1 Three Development Principles

Education for Human Dignity: AI digital textbooks should enhance children's lives while respecting human dignity and individuality.
Equal Learning Opportunities: Ensure all students, regardless of background, have access to AI digital textbooks.
Respect for Teacher Expertise: AI should support teachers, not replace them, by enabling them to focus on observation and support.

1.3.2 Development Direction

Based on the 2022 Revised Curriculum, AI digital textbooks will initially cover Mathematics, English, Informatics, and Korean (Special Education) in 2025.
The scope will expand gradually to include Korean, Social Studies, Science, Technology, and Home Economics by 2028.
The development is prioritized by school level: elementary school (completed by 2027), followed by middle and high school (completed by 2028).
Excluded subjects include 1st and 2nd grade elementary school subjects and those focusing on aesthetic, social, and emotional development (e.g., Morality, Music, Art, and Physical Education).

Utilization Model

AI digital textbooks are used flexibly based on:
- School level (elementary, middle, high)
- Utilization method (preview, review, classroom use)
- Application process (regular curriculum, after-school classes)
- Course characteristics
Emphasizes "High-Touch, High-Tech Education", which promotes interaction and active participation through projects, teamwork, and discussion.

Infrastructure and Security

4.1 Cloud(SaaS)-Based Web Service

AI digital textbooks are hosted on a cloud-based platform, enabling scalable and accessible services.
The platform includes learning data hubs for national-level analytics and data management.

4.2 Cloud Security

Emphasizes data security and privacy protection throughout the development and utilization process.

Common Function Linking

5.1 Single Sign-on (SSO)

Enables users to access AI digital textbooks and the web portal using a single account.
Developers must comply with API standards when integrating SSO.

5.2 Curriculum Standards Framework

AI digital textbooks must align with the national curriculum standards.
This ensures consistency and quality across all educational levels.

5.3 Subject Home Screens

Home screens are tailored to each subject, offering personalized and accessible interfaces.

AI-Based Personalized Learning Support

6.1 Learning Analytics

Enables detailed analysis of student learning behavior and performance.

6.2 Personalized Content

AI recommends learning pathways and content based on individual student data.

6.3 Dashboard

Provides a centralized interface for tracking progress and learning activities.

6.4 AI Tutor

Offers adaptive learning support to help students improve their weaknesses.

6.5 AI Teaching Assistant

Assists teachers in lesson design, assessment, and data management.

6.6 Teacher Reorganization

Allows teachers to customize and reorganize content for better pedagogical outcomes.

Learning Data Management

7.1 Data Collection

Data is collected from student learning activities, including learning duration, content completion, and performance.

7.2 Data Management and Privacy Protection

Developers must ensure data privacy and ethical use of learning data.
Data should be collected only for educational purposes and with user consent.

7.3 Data Transmission

Secure and efficient data transmission is essential for real-time analytics and personalized support.

UDL and Accessibility

8.1 Universal Design for Learning (UDL)

Ensures inclusive design for all users, including those with disabilities.
Promotes equal access to educational content through flexible formats and multilingual support.

Other Compliances

9.1 Prohibition of Use for Other Purposes

AI digital textbooks must not be used for purposes other than educational.

9.2 Prohibition of Advanced Learning

Prevents the use of AI digital textbooks for advanced learning beyond the curriculum.

9.3 AI Risk Management

Requires risk assessments and responsible AI usage to ensure safety and ethical standards.

9.4 Copyright Protection

Ensures legal compliance in the development and use of AI digital textbooks.

Authorization Review

10.1 Review Procedure

Developers must undergo authorization review for their AI digital textbooks.
The process includes data analysis, ethical compliance, and technical standards checks.

10.2 Review Criteria

Reviews focus on content quality, data privacy, and alignment with curriculum standards.

Quality Control and Support

11.1 Quality Control System

Ensures consistency and reliability of AI digital textbooks across all levels.

11.2 Learner Support and User Training

Includes training for students, teachers, and parents to maximize the benefits of AI digital textbooks.

11.3 Security and Privacy Protection

Maintains secure data handling and privacy compliance throughout the textbook lifecycle.

Additional Resources

EduTech: A combination of "education" and "technology", encompassing AI, AR, VR, and big data applications.
AI Tutor: A service that identifies student weaknesses and provides targeted learning support.

Follow-up Support

The AI Digital Textbook Support Center (aidt.keris.or.kr) will provide technical documents, consultations, and updates.
Developers are supported with checklists, compliance guidelines, and recommendations for each development stage.

展开完整摘要