📅 2025-02-22 — Session: Developed Course Design and Material Frameworks
🕒 00:00–01:00
🏷️ Labels: Course Design, Data Science, Education, Workflow, Jupyter, Hugo
📂 Project: Teaching
⭐ Priority: MEDIUM
Session Goal
The session aimed to develop comprehensive frameworks for course design and teaching material creation in the field of data science education.
Key Activities
- Conducted a comparative analysis of a new 21-folder course outline against an older 25-chapter course, identifying strengths, gaps, and future-readiness.
- Designed strategies for self-guided data science practice sessions, focusing on scaffolded learning, AI integration, and peer review.
- Created a framework for class material development, emphasizing pedagogical strategies and industry best practices.
- Outlined a structured workflow for transforming input documents into teaching materials, detailing six stages from context analysis to final curation.
- Envisioned an integrated lecture material ecosystem utilizing interactive notebooks and automated workflows.
- Refined a workflow for managing Jupyter notebooks and markdown lecture notes, integrating with Hugo for static site generation.
Achievements
- Established a robust framework for course design and material creation, aligning with educational standards and technological advancements.
Pending Tasks
- Implementation of the designed frameworks and workflows in actual course development and teaching scenarios.