Developed and Evaluated Algorithmic Assessment Framework

  • Day: 2024-05-25
  • Time: 17:30 to 18:30
  • Project: Teaching
  • Workspace: WP 1: Strategic / Growth & Development
  • Status: Completed
  • Priority: MEDIUM
  • Assignee: Matías Nehuen Iglesias
  • Tags: Algorithms, Evaluation, Education, Graph Theory, Student Assessment

Description

Session Goal

The session aimed to develop a topological sorting algorithm for system updates and to evaluate student responses in algorithm exams.

Key Activities

  • Algorithm Development: Introduced a topological sorting algorithm using Kahn’s method to address dependency issues in computer systems, including designing and implementing the algorithm in pseudocode.
  • Exam Evaluation Criteria: Established detailed performance criteria for evaluating student responses in algorithm development exams, focusing on demonstration, explanation, and coding aspects.
  • Student Response Evaluation: Conducted a thorough analysis of student responses related to algorithms and graph theory, highlighting strengths and weaknesses in their understanding and clarity.

Achievements

  • Successfully designed and outlined a topological sorting algorithm for system dependency resolution.
  • Developed a comprehensive framework for assessing algorithm exams, including a scoring system.
  • Completed evaluations of multiple student responses, providing insights into their comprehension and areas for improvement.

Pending Tasks

  • Implement the topological sorting algorithm in a practical coding environment for further testing and validation.
  • Refine the evaluation framework based on feedback from initial assessments.

Evidence

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  • event_ids: []