README.md

metadata

license: mit
task_categories:
  - tabular-classification
  - text-classification
tags:
  - education
  - k12
  - edtech
  - digital-learning
  - lms
  - screen-time
  - ai-tutoring
  - educational-technology
language:
  - en
size_categories:
  - 1K<n<10K

K-12 Digital Learning Platforms Usage Dataset

Dataset Description

This comprehensive dataset provides detailed information about digital learning platform usage, effectiveness, and trends in K-12 education. It covers Learning Management Systems (LMS), educational applications, AI tutoring systems, screen time impacts, and educational technology tools.

Dataset Summary

• Total Records: 4
• Platforms Tracked: 1
• Research Studies: 1
• Market Data Points: 1
• Geographic Scope: United States and Canada
• Time Period: 2020-2025

Dataset Structure

Categories

1. Platform Profiles: Detailed information about educational platforms including features, pricing, and technical specifications
2. LMS Market Data: Market share statistics, adoption rates, and competitive analysis
3. Screen Time Studies: Research on screen time usage patterns and educational impacts
4. AI Tutoring Metrics: Performance data and usage statistics for AI-powered tutoring systems
5. EdTech Tools: Rankings, effectiveness data, and user feedback for educational technology tools

Data Sources

• LearnPlatform by Instructure reports
• Common Sense Media research studies
• NCES (National Center for Education Statistics)
• Academic research publications
• Platform vendor statistics and reports
• Market research organizations

Usage Examples

Research Applications

• Educational technology effectiveness studies
• Policy development and decision-making
• Academic research on digital learning trends
• Market analysis and competitive intelligence

Practical Applications

• District technology planning and procurement
• Platform evaluation and selection
• Teacher training and professional development
• Budget planning and cost analysis

Data Quality

Validation

• Multi-source cross-validation
• Automated quality checks
• Expert review and curation
• Regular accuracy audits

Limitations

• Self-reported data limitations in some studies
• Varying data collection methodologies across sources
• Geographic bias toward North American data
• Temporal lag in some research studies

Citation

@dataset{k12_digital_platforms_2025,
  title={K-12 Digital Learning Platforms Usage Dataset},
  author={Robworks Software},
  organization={https://robworks.info},
  year={2025},
  publisher={Hugging Face},
  url={https://huggingface.co/datasets/robworks-software/k12-digital-learning-platforms}
}

License

This dataset is released under the MIT License. All data is collected from publicly available sources and processed to ensure privacy compliance.

Updates

Dataset is updated monthly with new research studies, market data, and platform information.

Last Updated: October 08, 2025