Refined Grading Rubric for Data Analysis Projects

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Refined Grading Rubric for Data Analysis Projects

  • Day: 2025-07-01
  • Time: 19:15 to 19:50
  • Project: Teaching
  • Workspace: WP 2: Operational
  • Status: Completed
  • Priority: MEDIUM
  • Assignee: Matías Nehuen Iglesias
  • Tags: Grading, Rubric, Data Analysis, Evaluation, Education

Description

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.

Evidence

  • source_file=2025-07-01.sessions.jsonl, line_number=2, event_count=0, session_id=ccfc31c49c69d0da63ed3e78f595bf6e503a880a992ddc87253b7d31fa62c940
  • event_ids: []

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