(Dataset) Music Learning with AI for Inclusive Early Education
Description
This dataset explores integrating artificial intelligence tools in music education to promote inclusive and sustainable early childhood education. It includes qualitative and quantitative data on preschool children's linguistic skills, motivation, and cognitive development, highlighting the impact of ICT-based strategies aligned with Sustainable Development Goals (SDGs).
Files
Steps to reproduce
Steps to Reproduce: Access the Dataset: Download the dataset from the provided repository or source. Ensure all files are complete and unaltered. Understand the Variables: Review the data dictionary to familiarize yourself with variables, formats, and measurement methods. Preprocessing Data: Clean the dataset by handling missing or inconsistent values as outlined in the accompanying documentation. Install Necessary Tools: Set up software (e.g., Python, R, or Excel) and libraries (e.g., pandas, NumPy) required for analysis. Replicate Analyses: Follow the detailed scripts or instructions for qualitative and quantitative analyses provided, such as thematic coding or statistical tests. Visualize Results: Use tools like Matplotlib, Seaborn, or Power BI to replicate visualizations and insights derived from the dataset. Validate Findings: Cross-check results with those published in the associated study to ensure consistency. Apply to New Contexts: Modify parameters or approaches to adapt the dataset for further research or educational purposes.