---
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

```bibtex
@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