Developed Feedback Framework for Algorithmic Solutions

• Day: 2023-11-15
• Time: 21:40 to 22:30
• Project: Teaching
• Workspace: WP 1: Strategic / Growth & Development
• Status: Completed
• Priority: MEDIUM
• Assignee: Matías Nehuen Iglesias
• Tags: Feedback, Algorithm, Education, Programming, C++

Description

Session Goal: The session aimed to develop a comprehensive framework for providing constructive feedback on algorithmic solutions, particularly for educational purposes in computer science.

Key Activities:

• Constructed a guide emphasizing tailored feedback for students’ algorithmic solutions to enhance learning and problem-solving skills.
• Provided a structured framework for evaluating algorithm solutions, offering strengths, areas for improvement, and suggestions.
• Addressed limitations in file handling, suggesting alternatives for code submission.
• Offered feedback on multiple programming exercise solutions, highlighting strengths and areas for improvement.
• Developed minimal solutions for specific programming exercises, focusing on best practices and optimization strategies.

Achievements:

• Successfully created a feedback framework that can be applied to various algorithmic solutions.
• Clarified the process and best practices for providing feedback in educational settings.

Pending Tasks:

• Further refinement of feedback strategies and exploration of additional exercises to apply the framework.

Evidence

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• event_ids: []