Part 01: Understanding Digital-Based Education Innovation and the Future Curriculum

01.
Future-oriented curriculum, the 2022 revised curriculum
- Background and Major Changes of the 2022 Revised Curriculum
- In-depth learning and concept-based inquiry learning

02.
Why do analog classes need digital technology?
- Understanding digital-based education innovation policies
- The meaning and necessity of digital-based analog classes (D.G.I.A.S.)

Part 02 Understanding Digital-Based Analog Classes

01.
Understanding Digital-Based Analog Classes
- The direction of digital-based analog classes from a learning science perspective
- Correcting misconceptions about digital-based analog classes
- Establishing principles for digital-based analog classes
02.
How should we design digital-based analog classes?
- A framework for designing digital-based analog classes
- Follow the digital-based analog class design

Part 03: AI-Based Digital Class Design, Evaluation, and Recordkeeping

01. Customized class design and operation plan using AI digital tools
- What is the key to utilizing AI digital tools?
02.
Leveraging Math and AI Digital Tools - Personalized Learning and Process-Centric Assessment
Designing AI-based digital classes to empower learners
03.
Utilizing AI Digital Tools in the Korean Language Department - Customized Learning and Process-Centered Assessment
- Completing digital-based course design, AI-powered feedback, and process-centered evaluation.
04.
Leveraging Science and AI Digital Tools for Deep Learning and Process-Centric Assessment
- Sophisticated design meets digital tools, leading to knowledge transfer.
- The ultimate goal of learning: deep understanding
- Concept-based inquiry learning that involves questioning and discovery
- The four-stage learning flow: Exploration → Internalization → Utilization → Reflection
- Application of backward design principles starting from the goal
A Window into the Learning Process: Process-Centered Evaluation in Practice
- Leveraging AI digital tools to accelerate learning.
- Outline of specific lesson design
- Into the class
05.
Leveraging AI Digital Tools in Social Studies: In-Depth Learning and Process-Centric Assessment
- We are connected, thinking about a sustainable global village.
- Designing classes and assessments for in-depth learning
- Into the class
- Coming out of class
06. Recording Process-Centric Assessments Using AI Digital Tools
- Leveraging AI digital tools - Providing feedback for student growth
- Utilizing AI digital tools - Writing detailed academic skills and special skills in the student record book

Part 04: Developing AI-Based Teaching and Evaluation Tools

01.
Developing No-Code Classroom and Assessment Tools with Generative AI
- Examining ChatGPT's GPTs and Claude's Artifacts
- Developing a class-assessment tool using ChatGPT's GPTs.
- Developing a class-assessment tool using Claude's Artifact
02. Developing AI-powered teaching and assessment tools
- Coding Basics Using Generative AI (Chat GPT, Cloud) Chat Services
Development of a customized teaching and assessment tool using generative AI, Google Spreadsheets, and Google Apps Script (GAS).
- Develop and deploy a customized class-evaluation web app using generative AI APIs.

While maintaining the teacher's educational philosophy
A practical guide to strategically integrating AI tools into the entire teaching, assessment, and documentation process.

》One, expanding the design of real classes not found in textbooks with digital technology.
Based on the concept of 'D.I.G.A.S.U.', we present teaching strategies that reflect the teacher's educational philosophy and context, rather than simply using tools.
For each subject, we focused on practical applications to understand how AI tools and class flow are connected.

》Two, AI as a teacher's assistant, a way to utilize technology to preserve the essence of class.
We design our lessons based on principles of learning science (e.g., dual encoding, retrieval practice, cognitive load theory) to ensure that digital technology complements, rather than replaces, analog instruction.

》3. Integrated class operation that connects to evaluation and recording
We provide an integrated workflow that includes digital portfolios, drafting of special lecture notes using ChatGPT, and automated feedback tools, all leading to post-class evaluation and documentation.

》Net, a personalized teaching tool created by the teacher
Includes no-code hands-on training courses for creating teaching tools without coding, including GPTs, Artifacts, Google Spreadsheets + GAS, and API integration.
We guide you to develop your teaching skills as a ‘creator.’