# Online Learning and Analytics

**Type:** Topics  
**Canonical URL:** https://scholariq.org/topics/online-learning-and-analytics-2/

## Facts

| Field | Value |
| --- | --- |
| Citations | 813,540 |
| Description | This cluster of papers focuses on the application of educational data mining and learning analytics in the context of online education, particularly Massive Open Online Courses (MOOCs). It explores topics such as predictive analysis of student performance, machine learning techniques for student engagement, and the impact of data-driven education on online learning. The cluster also delves into the challenges and opportunities associated with implementing learning analytics in higher education. |
| Domain | Physical Sciences |
| Field | Computer Science |
| OpenAlex ID | https://openalex.org/T11122 |
| Works | 95,385 |

## Topic researchers

Showing 12 of 20.

- [Francisco Herrera](https://scholariq.org/researchers/francisco-herrera/)
- [Quoc V. Le](https://scholariq.org/researchers/quoc-v-le/)
- [Jure Leskovec](https://scholariq.org/researchers/jure-leskovec/)
- [John R. Anderson](https://scholariq.org/researchers/john-r-anderson/)
- [Witold Pedrycz](https://scholariq.org/researchers/witold-pedrycz/)
- [Lee J. Cronbach](https://scholariq.org/researchers/lee-j-cronbach/)
- [Jon Kleinberg](https://scholariq.org/researchers/jon-kleinberg/)
- [Leonidas Guibas](https://scholariq.org/researchers/leonidas-guibas/)
- [Zhihui Du](https://scholariq.org/researchers/zhihui-du/)
- [James W. Pennebaker](https://scholariq.org/researchers/james-w-pennebaker/)
- [Barry J. Zimmerman](https://scholariq.org/researchers/barry-j-zimmerman/)
- [Paul R. Pintrich](https://scholariq.org/researchers/paul-r-pintrich/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.