📅 2025-07-01 — Session: Refined Grading Rubric for Data Analysis Projects
🕒 19:15–19:50
🏷️ Labels: Grading, Rubric, Data Analysis, Evaluation, Education
📂 Project: Teaching
⭐ Priority: MEDIUM
Session Goal
The session aimed to refine the grading rubric for data analysis projects, ensuring clarity, consistency, and rigor in evaluation criteria.
Key Activities
- Developed a refined grading rubric with objective internal criteria for evaluating data analysis projects.
- Created detailed descriptions for each section to maintain clarity and consistency in grading.
- Utilized Pandas to structure the rubric, outlining sections, subcriteria, and maximum scores, and saved the data to a CSV file.
- Provided a guide for scoring reports with 14 subcriteria, including detailed definitions and scoring suggestions.
- Processed PDF exercises in batches to maintain focus and consistency.
- Created a Python DataFrame for the evaluation rubric, including sections, subcriteria, and maximum scores.
- Evaluated groups 1 to 4 in exercise 1 of the rubric, including scores and observations for each subcriterion.
Achievements
- Successfully refined and structured the grading rubric for data analysis projects.
- Completed the creation of a CSV file with updated rubric details.
Pending Tasks
- Further testing and feedback collection on the new rubric structure.
- Implementation of the rubric in upcoming project evaluations.