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: []