📅 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 and EvaluatorDeep 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.

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