CH1-CH3
These chapters reinforce generative AI architecture, Python x Colab, Google Apps Script, and cloud deployment for Units 2, 3, and 6.
Update method
- The sourcebook chapters were mapped back into the eight-unit public course structure.
- The site keeps the course-web format but now carries a stronger chapter backbone and workflow logic.
- Interface screenshots from slide materials were added so the course can show actual tools rather than only describe them.
Source Documents
Primary text sources
The main textual sources are AI時代，我與它的對話.docx, AI 教學與互動工具書製作.docx, and CH1 through CH7.
CH4
This chapter strengthens Unit 1 with the long arc of technology shifts, generative AI logic, and multimodal foundations.
CH5-CH6
These chapters reinforce serverless cloud AI applications, GAS+Sheets+Sites architecture, LINE Bot, and AI agent practice for Units 6 and 7.
CH7
This chapter adds data storytelling, learning dashboards, predictive analysis, and prescriptive analysis to Units 5 and 8.
Visual Assets
Slide-based interface references
These visuals were collected from classfile slide materials and are now used to support tool comparison, platform explanation, and workflow design.
PDF Covers
PDF handout and lecture deck covers added to the site
Alongside slide-based interface screenshots, the site now includes first-page visuals from PDF handouts and lecture decks so the public version reflects the real teaching context more clearly.
Google AI Studio Platform Operations
Microsoft Copilot Applications
AI Tools for Academic Research Support
TeachWise AI for Smarter Teaching and Learning
Workflow Translation
How the materials were translated into the course pages
- The homepage now includes a sourcebook edition block so readers can see where the deeper structure comes from.
- The teaching-plan page now includes chapter-to-week alignment for instructors and workshop planners.
- The guide page has been rewritten as a real source explanation page rather than a simple list of entry links.