Computer science student test results

📊 Dataset Title:

Student Performance Interaction Logs for Programming Assignments

📝 Description:

This dataset contains anonymized interaction data collected from 486 computer science students working on online programming tasks. Each row represents a unique student session with aggregated behavioral and performance metrics. The data was collected as part of an educational analytics study aiming to cluster students based on usage patterns and performance.

📁 Columns:

user_id: Anonymized identifier for the student session (UUID)

clicks: Number of interactions (clicks) during the session

total_time: Total time spent (in seconds) on the task

avg_time_per_question: Average time per question (in seconds)

correct_answers: Number of correctly answered questions

total_questions: Total number of questions attempted

language: Programming language of the task (e.g., Java, SQL, Python)

level: Task difficulty level (e.g., Beginner, Advanced, Expert)

distribution: Statistical distribution of time allocation (e.g., uniform, exponential, Poisson)

⚠️ Notes:

All personally identifiable information has been removed.

The dataset is suitable for educational data mining, clustering, and behavioral modeling research.

Ethical approval was obtained (if applicable), and all data complies with GDPR anonymization standards.

Would you like a markdown version or Zenodo metadata JSON file to go along with it?