📅 2024-08-07 — Session: Developed Educational Tools for Computational Linear Algebra
🕒 00:40–23:50
🏷️ Labels: Linear Algebra, Python, Education, Jupyter, Openai
📂 Project: Teaching
⭐ Priority: MEDIUM
Session Goal
The session aimed to develop and integrate educational tools and resources for computational linear algebra courses, focusing on repository structuring, workbook integration, and pedagogical analysis.
Key Activities
- LU and QR Factorization Exercises: Implemented practical exercises in Python to solve linear systems and compare the efficiency of LU and QR factorizations.
- Course Integration Planning: Outlined strategies for integrating computational linear algebra workbooks into courses using Jupyter Notebooks for collaborative learning.
- Repository Structure Design: Proposed a detailed repository structure for linear algebra courses, facilitating documentation, exercises, and notebook organization.
- OpenAI API Integration: Developed Python classes
EvaluatorClean
andEvaluatorDeep
to clean exercise statements and provide pedagogical evaluations using the OpenAI API. - Notebook Creation Automation: Implemented the
NotebookCreator
class to automate the creation of Jupyter notebooks from markdown files, ensuring proper formatting and metadata.
Achievements
- Successfully designed a comprehensive repository structure for educational courses.
- Enhanced the evaluation of educational exercises using AI-driven tools.
- Developed scripts to automate notebook creation, improving efficiency in course material preparation.
Pending Tasks
- Further testing and refinement of the
NotebookCreator
class to ensure compatibility across different platforms. - Integration of additional educational resources and exercises into the repository.