EBL Over PBL: Data Collection and Analysis Repository

Abstract
(To be added)

Overview

This repository is dedicated to the data collection and analysis of two educational methodologies: Experiential Based Learning (EBL) and Project Based Learning (PBL). The aim is to support a study comparing these methodologies, focusing on student engagement, contribution metrics, and outcomes associated with each approach.

Repository Structure

• data/: Contains raw data files, including summaries of student contributions categorized by primary language and project.
• extract_data/: Holds scripts responsible for data extraction and preprocessing, including extract_contribution.py and extract_user.py.
• notebook/: Jupyter Notebooks used for in-depth data analysis and visualization, including:
  • contributions_analysis.ipynb: Analyzes student contributions and identifies trends in primary programming languages.
• venv/: The virtual environment containing all dependencies required for this project.

Analysis Objectives

The study seeks to achieve the following objectives:

1. Analyze Contributions: Understand the level and distribution of contributions among students in both EBL and PBL methodologies.
2. Language Comparison: Identify which programming languages are most utilized and have the highest contributions in each methodology.
3. Student Engagement: Assess average contributions per student and compare engagement levels across methodologies.